How to use AI and Creative Workflow Trends 2024

Evan Lee: Everybody. So we are joined, um, by John and Reza. So to I don't know how many people are already tapped in with both of them, but they're absolutely incredible. First, let's talk Reza. So Reza's our fearless leader at Motion. He's the engine that makes this thing go. Someone I respect so deeply. So excited for him to be able to share everything AI related. Um, and obviously everything and how it applies to the creative strategy side. And then on John's end, John, we've had a chance to get to know each other even more and more over the past couple weeks and always been super impressed. So John is the CEO of three companies, so Ready Set, Sleepless, and Airpost, and he can share some words, of course, about what they do. But for context, he was the global marketing lead at Airbnb as they were taking off. And in his early days, started on the agency side doing national TV ads. So all of this prepared him to really take off and and own the world in a sense when we're thinking about Ready Set, Sleepless, and Airpost. So everybody, again, if we can in the chat, let's welcome them. It's going to be a good time. It's going to be a good time.

Thanks, Evan.

Evan Lee: Most definitely. So, we definitely want to get into the meat and potatoes and a mixture of high level and tactical. And I'm thinking that the best way that we can set the stage, guys, is just by giving a peek into your brains. So what I'm thinking is for our very first question, Reza, I'm going to throw it to you first, and then John, I'll come to you after. But in this world that we're currently operating, how do you view AI and how it's going to impact advertising and just in general, um, with where your head's at?

Reza Khadjavi: Very cool. Thanks, Evan. Hi everybody. Very excited to be here. Very excited to talk about this. I think it's one of the one of the fun topics to talk about if you're in the creative world. I think this is one of the industries that it's so obvious that AI is going to impact our world in such a big way. I think anybody who is in any way connected to the creative world understands that. And there's just just this big question of like, how, when, at what pace is my job going away? Like there's all these questions that come up, but I think just naturally, everyone in the creative world like deeply understands that. And I think we saw at the poll, people are already starting to interact with AI products. So like we're certainly out of the phase of theory and like conceptual and like maybe one day this is going to be real. Like it's real today. It feels it feel it feels very much like that. And so the question is like, where does it go, at what pace, and how do we think about that? One of the things that's helped me quite a bit as I try to wrap my head around like what's going on here, how's it going to impact our industry, and how do we help support our customers and in general, like make the most out of this new wave of technology is basically this idea that any major technology wave, in my opinion, you can think about it as it's either a massive revenue generation unlock. So you could think of for example, like the internet itself or maybe a more practical example is like think of Google search. Like Google search came out and for for merchants and advertisers, like there's a there's a massive revenue generating opportunity with that technology. And in the case of AI, I think often times that's where our heads go of like, can AI make the best, coolest, like top performing ads? And I think there's something there. I I I really do. But I think the the most interesting way to think about AI is a dramatic, like orders of magnitude cost reduction. So this this ability to add massive leverage to your workflows. I I personally don't think about AI as a revenue generating technology. I view it as like something that allows you to eventually, uh, scale your operations in a way that reduces the costs massively to a point where I think it's probably not an exaggeration to say that the cost of producing new creative assets, it's is probably on a downward trajectory to zero, that at some point in the future, you can produce new like an infinite amount of creatives for a very, very low cost. And I think that's like the that's the ultimate trajectory. And so the question becomes, how do you how do you start to think about AI as a workflow enhancement, as a way to we have a current workflow, how do we accelerate it? How do we do more, how do we do a lot more of what we currently want to do faster, better, at a much bigger scale versus what I think sometimes might come to mind is, you know, are we going to be able to just plug AI and produce the best performing creatives and just magically this becomes a revenue opportunity. I don't believe that's the case. I think it's more of a a dramatic cost reduction. And I don't know, be curious to hear what people think in in the chats and the Q&A later, but that's helped me personally quite a bit as like a mental model to just think about like where does this technology wave fit and how do I make the most of it?

Evan Lee: Super interesting, Reza, like setting up the framework of cost saving versus like revenue driver. It's quite interesting. So like John, throwing it to you, curious to know how you view the world and and where you think it's going, especially related to advertising.

John Gargiulo: Yeah, just dovetailing off of what you said, Reza, I think it's a phased thing. So you're absolutely right. Right now, in the short term, and it is very, very early. I can't emphasize that enough. Even even with all the hype and articles out there, the ratio of that to how much it's being used and just how early it is is massive. Um, it's a cost saving opportunity. It's a time saving opportunity. Uh, my goal in this webinar is to offer as much value as I can to each of you on this call, growth marketers, creative strategists that are looking just for something actually useful in AI that can save you time, uh, so you can get to the the higher order parts of your brain and more creative things you've been wanting to do. I think long term, it is a not just a margin generating opportunity, but a revenue generating opportunity in this way for our world of performance marketing, which is it will eventually be possible to build the whole loop. Um, and we just got a a patent on this from 2022 where you can automatically make a video ad, for example, make a UGC ad. Sometimes in our product meetings, we joke, it's a race to the bottom in terms of cost. So I I agree with you there. But if you could have the whole loop where you're learning what's working, what's not, and AI is pretty conversational. It understands what's in the video ad. It will soon, I can show you some advancements on that just in the last week. Um, it can start to really be a huge lever on the wall for everybody in this webinar, uh, to be more successful writ large and generate more revenue.

Reza Khadjavi: Incredible. And John, you and I talked about this early on and it's like this and I I agree with you once once you start to see that flywheel develop, there's an arbitrage opportunity where the people who are early can like maximize the opportunities before everybody else. But at some point, and we talked about this early on too about Facebook ads, just think about Facebook ads itself. Like early on, it was just like wonderful arbitrage opportunity for people who are early. Later on, it's like, okay, now we're in the expert mode. It's not as easy as it used to be. Throw a couple of ads up and you know, you have like a cash printer. And the question is like, how long is that trajectory for AI? Could be a very long time. It could be like a decade, right? Of early arbitrage opportunities. I think that's like it's cool to think about just from like a nerdy, you know, what what does the future going to look like? But from an actionable standpoint, I think everybody in this room and people in our industry, it makes a lot of sense to try to be as early as possible in what's going on here because I think there is an edge because it's not widely adopted, but you know, it's like every day that passes that that edge starts to go away. And so, you know, make make the most out of it everybody before it's widespread.

John Gargiulo: Yeah, and I think if you're on this call, then you're on the edge, um, which is great. Uh, and I agree with you. I think this one will be long. Um, you know, if you were in advertising and you recognized the potential power of the internet and programmatic and Google in 1999, uh, you had a many year head start on traditional companies as a marketer and a lot of those marketers became, you know, the CMOs of those eras. And like you said, if you were on Facebook and you realized when you showed up to a new job in 2012, 13, 17, um, you know, whoa, we should be spending way more on this platform, getting like 4X ROAS easy, um, then you were ahead of the game. And both of those lasted like a decade. Um, it wasn't until the last couple of years that that latter, uh, window is closed. And this one is so huge. Um, and it's so early and frankly, there's so few people that I meet that are actually using this technology today that like we've barely begun to begin.

Reza Khadjavi: Yeah, and you mentioned me on tactical like what can I do now? Like I will be really sad if we leave this webinar without just as many things possible for you guys to go and look into. So I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this thing has a lot of awareness on what might be good. And it might generate some scripts or briefs that in the same example that John showed about the video, maybe it's not quite there, but like certainly better than staring at a blank screen trying to think about like the 50 assets that you need to produce next week. So I think it's a fantastic kickoff point if nothing else.

John Gargiulo: Yeah, and you mentioned me on tactical like, what can I do now? I will be really sad if we leave this webinar without just as many things possible for you guys to go and do. Um, so I'm sharing here something called Gigabrain. It's uh, a way I just I just put good reviews of Casper. If you work to Casper. Um, it's a way to just kind of pull out from the bajillions of posts on Reddit, um, reviews, what people are saying. Uh, you can use those in ads. There's something called, uh, someone's built a landing page optimizer GPT. So I took the Stitch Fix page. I noticed a lot of their Facebook ads point to stitchfix.com/women. And we'll put all these links in the chat. You go to um, this GPT and I just typed in stitchfix.com/women and it's like, cool, you know, we suggest, uh, that you change the image and the text, here's why. Uh, this lacks visual appeal. Another time it mentioned that the image was kind of busy, which I agree with. Um, it has more performance oriented calls to action. Um, so you know, these are all ways to use AI now. Because I think the biggest problem that makes even me cynical at times is again, that golf between the hype and the umpteenth, you know, TechCrunch article and fundraising news and like, yeah, but I want to like find it useful. Um, so

Reza Khadjavi: I think the thing that you just mentioned there is such a it's such a good hack. I've I've heard a bunch of people do this where you basically feed it context on on the top performing ads as much as you can. I think the more the AI knows about the things that work, like they just get so much smarter when they have the right context. So I've I've seen people do that. Another one that's come up, I'm sure many people have heard about this by now, but for the people who haven't, another one that's quite common is exporting all of your product reviews or ad comments for just like additional context. Like here's what people are saying about my product or my brand. Here are the things they like about it, what they don't like, because often even pre pre AI world, a lot of the best creative strategists were like mining reviews, right? To try to understand like what are the pain points or things that people are bringing up, then using that same language as part of their their ad briefs and their and their scripts. And so that's another really cool piece of context that you can feed into the prompts along with like the performance data. And then now like this