From Persona Research to AI Media Buyer: The Full-Stack Agency Automation Playbook
Frederick Rode, a German AI consultant transitioning from creative strategy to full-scale agency AI implementation, joins Andrew and Thomas for a detailed breakdown of the systems he's actually running.
The episode opens with his Claude research agent, a no-code Claude skill wired to Foreplay (for competitor ad library scraping) and Firecrawl (for web scraping) that outputs a 10-page brand document for agency teams to review first thing when they arrive to the office. From there the conversation covers automated ad performance reporting, and the "easier version" of that same pipeline that listners can implement right away. Thomas then shares that he currently has six Mac Minis running AI media buying for 10 of his clients (still monitored by a team but working). Freddie rounds out the episode by walking through a multi-agent CRO landing page system he built in one afternoon with Claude Code, and why splitting one big agent into three specialized ones (copy, layout, CRO) produces dramatically better output. The episode closes with a candid conversation about AI adoption: agencies are excited, not scared, and the ones moving fastest are freeing employees from execution work so they can focus on analysis and strategy.
Key Takeaways:
How connecting to Foreplay's MCP server via Claude is changing the way brands can analyze their competitors' ads
Why Freddie skips local file storage and auto-upload all research directly to Supabase.
The "easy version" of automated ad performance reporting, and how listeners can build this without needing direct Meta API access.
How Railway is turning a weekly Slack performance report into a $5/month automated system for agencies
The ClickUp status trigger that automatically checks ad creative for grammar errors before they ever go live
How to build a multi-agent CRO landing page system in an afternoon with Claude Code, and why three specialized agents outperform a single all-in-one agent every time
Products & Software Mentioned
Claude (Anthropic) — https://claude.ai (core model; used for skills, research agent, all downstream workflows)
Claude Code — https://claude.ai/code (used to build CRO landing page agent and grammar review automation)
Foreplay — https://foreplay.co (save and scrape Facebook ad library; one-click MCP server connection to Claude; competitor ad transcripts, video downloads, run duration)
Firecrawl — https://www.firecrawl.dev (web scraping via MCP; extracts brand pages, Trustpilot reviews, competitor sites)
Gemini (Google) — https://gemini.google.com (visual analysis of competitor ad videos via MCP; analyzes hooks, angles, text overlay, first 3 seconds)
Supabase — https://supabase.com (database for storing personas, ad performance data, copies, headlines; official Claude MCP integration)
Meta API — https://developers.facebook.com/docs/marketing-apis/ (official ad account data: spend, hook rate, ad-level performance)
Apify — https://apify.com (ad scraping tool with official Meta ad scraper; receives post links from 2-Minute Reports and downloads asset URLs, videos, images)
2-Minute Reports — https://www.2minutereports.com (Google Sheets-based ad reporting, similar to Supermetrics; scheduled auto-reports; no Meta API setup required)
Frame.io (Frame) — https://frame.io (creative review platform; API used to automate grammar/copy QC on ads the moment they hit "ready for review" in ClickUp)
ClickUp — https://clickup.com (project management; task status change to "ready for review" triggers Frame API automation)
Railway — https://railway.app (~$5/month; connects GitHub + runs scheduled script to deliver Slack performance reports automatically each week)
North Beam — https://www.northbeam.io (MTA attribution tool; discussed as a potential data cross-reference source alongside Meta reporting; has an API)
Motion / Runneth — https://motionapp.com (sponsor; AI agent inside Motion's creative analytics platform, powered by Claude, trained on $14B in ad spend)
Codex (OpenAI) — https://platform.openai.com/codex (coding AI; mentioned as an alternative Freddie is exploring alongside Claude)
To connect with Freddy DM him here https://x.com/freddyrode3
To connect with Andrew Foxwell reach him here Andrew@FoxwellDigital.com
To connect with Will Sartorious DM him here https://x.com/will_sartorius
To Connect mith Thomas Moen DM him here https://x.com/thomasmoen
To learn more about Foxwell Founders and conversations like this one, go here: www.foxwellfounders.com
Full Transcript
(00:04) If you work in D2C and you use AI and you're wondering what the F is going on every week, this is your podcast, the AI D2C WTF podcast, your home for tactical tips, strategies, and ideas that you can implement right now in your AI workflows to make your brand or agency more money. Hey, welcome to another episode of AI D2C WTF.
(00:28) So glad to have you here. This podcast is all about ensuring you have tactical advice to take away and utilize in your e-commerce agency or brand right away. That's really what we're doing here at the AI D2C podcast. So I'm excited to have you, Freddie. For those of you that don't know Freddie, he is a German badass on AI, somebody that I respect and who is absolutely always building incredible things.
(00:53) Freddie, thank you and welcome to the show. Thank you so much for having me, Andrew. I'm glad to be here. So what have you been up to lately? I mean, I know that you're doing a lot of creative strategy. So have you been building tools on creative strategy or what kind of stuff have you been building that's with AI that's been making your life a lot easier? Yes, doing lots of creative strategy, kind of transitioning away from that and just building more with AI, helping other agencies implement AI.
(01:18) And, you know, there are so many, you know, important use cases or useful use cases, especially nowadays with the models getting better, Claude being there. And the first thing that comes to my mind is just like, probably research agent, you know, research skill that sits in Claude. And it just, you know, does persona research.
(01:36) It looks up words, it looks up reviews, and it basically builds this whole, you know, persona sheet that, you know, other skills that I'm using, such as like a script writer or whatever can kind of access. And then the outputs of the stuff that I'm getting from AI are way more, you know, tailored to the brands that I'm working with.
(01:53) So this is, so you have, so talk us through how you're doing this on the research agent. So this thing, like, give me the tactical rundown. So this thing, you've built it how, it sits in Claude. And what is, how did you, like, how are you telling it to go find things? What kind of stuff is it, you know, doing tactically? Yes.
(02:11) So it's a, it's basically a Claude skill. So, you know, it's super easy to create. You don't need any like coding experience or whatsoever, really. And it's connected to foreplay. Foreplay has basically an MCP server, which you can connect essentially in one click to Claude. Then it can use, you know, foreplay for you, basically. It's also connected to another kind of program that is called Firecrawl.
(02:31) And Firecrawl also has an MCP server, but you can also connect in one click. So everything is pretty straightforward. And, you know, firecrawl can essentially scrape websites for you. So this, you know, research agent is, you know, connected to Firecrawl, connected to foreplay, and then has instructions for me, you know, and stuff that I want.
(02:52) So for example, you know, words that the brand uses, you know, and it extracts reviews from, for example, Trustpilot or the brand's website. And, you know, it scans competitors, you know, looks at competitors ads using foreplay. And then at the end comes up with different personas. And I basically give a thumbs up or thumbs down, you know, whether I like the persona or not.
(03:13) And then it gets added to kind of my database of personas for this brand. And then from there on, I can reference it in other skills that I'm running, essentially. Cool. Just jumping in here, Andrew, I think this is super interesting and super cool. So I'm not so familiar with the foreplay. I played around in Firecrawl, which is just amazing to just get a lot of data out pretty quickly.
(03:33) But can you explain a bit more what foreplay is? Yes, foreplay is basically just a tool that allows, you know, you to kind of save Facebook ads from the ads library, right? But the great thing about it is that they have an API or, you know, an MCP server that you can connect to. So you can automatically crawl your competitors, you know, ads library, for example, you get the transcripts of the videos easily, you can download the videos.
(03:55) And then, for example, you know, downloading the videos, you can throw these videos into Gemini, which, you know, you can also connect with an MCP. And then you can basically visually analyze the videos, for example, what's going on in the hooks, you know, what's going on in the first three seconds, what kind of angles are they using? What kind of visuals maybe are they using? And what kind of text overlay? So, you know, this gets super, you know, super helpful.
(04:15) And for you kind of analyzing competitors. Okay, wow. So basically, where Firecrawl goes and looks at websites and gives you the information, foreplay is a way where you can basically scrape ads libraries and give you that data in a structured way so you can work from there. Yes, exactly.
(04:34) You can see how long ads have been running, etc., you know, which is not always a telltale sign for, you know, whether something is a winner. But especially, you know, if it's a video, it's been running for quite some time. And maybe the ad is running like the same kind of concept over and over again, you know, I'm pretty sure that this is a winning concept.
(04:49) And now I can have it analyzed using the API inside of my cloud, and then kind of can, you know, identify winning patterns this way. So there, so you're going through running this research agent, it's doing tons of stuff for you. It's looking at these tools, what other? I mean, one, one thing I've always wondered about the research tool, looking at Reddit is that can it get into Reddit threads, like logging in and that kind of thing? Because sometimes the stuff that's publicly available is not as good.
(05:17) And does it actually like, what's the output of it? Does it come out with different angles you can pursue? Like, is it a written document? Like how, what's the output you have it going into? Or is it actually just going into creating the ads? Yeah. So there's also basically for Reddit, there's like a separate, basically MCCP server that you would connect to.
(05:35) And in terms of output that I'm getting, and maybe I can like link this in the show notes or whatever, but it's basically like a 10 page document, which may sound overkill at first, but especially with context windows being so large, nowadays for these larger models, especially, you know, 1 million context windows for Opus, it can, you know, get a lot of context and it can kind of remember all of the concept.
(05:54) So basically the outcome is like a brand overview, like, you know, the product mechanics, the any like studies associated with it, what kind of is the overarching brand voice? And then like a market analysis, you know, how is the market sophistication level? How are competitors and stuff like this? Then again, it looks at reviews, it extracts those, then like it basically saves full-end reviews in like another document.
(06:16) Then based from those review, it like kind of like creates a like language bank, which is essentially just like words that the brand is or that, you know, at least reviews are mentioning over and over again. So you can kind of try to identify patterns from that. Then it looks again, it looks at competitors. Automatically it finds those and kind of sees what kind of ads, you know, they have running using foreplay again.
(06:35) And then based on all of that information, it creates, you know, persona documents, which feature like the angles, the, you know, benefits for that specific angle that you can use and stuff like this essentially. And, and are these then stored as just MD files locally? Or do you have like your own database of things where you're organizing? Or how are you kind of organizing the data? Because one thing is to have these amazing skills do all the crawling, but kind of how do you make sure you don't lose any data on the way? And then can you
(07:06) kind of take a look at the big picture? Yep. So I think like the first step, you know, when you start using this, probably just save them locally, right? And then whenever you basically open up a new chat, you know, what I would do is like create a project and cloud for your brand. And then whenever you start in your chat, just insert them manually.
(07:23) And over time, that obviously gets tedious. So I think the next step from there is basically taking it to Superbase, which is kind of like a, like database, it also has an integration, an official integration, even with Cloud. So you can just connect it to Cloud, tell it like, hey, I want to create a new database based on this, or like you can even connect the skill to Superbase.
(07:40) So the way that I've set it up is like any kind of research doesn't even get saved for me locally, it automatically gets uploaded to Superbase. And because the skill has those instructions, like, hey, here's the Superbase server I want you to use, upload all of that information, etc. Okay, so you have that.
(07:55) So you're talking about doing all this other consulting with agencies. And obviously, Persona, unlocking Persona is a massive thing that people are getting into. What are other things that you've been building or that you're helping agencies instill that are like blowing their minds? Because this is a big one. If you can go to the client and say, hey, look, I've got a whole bunch of new Persona research, that's awesome.
(08:13) But what else are you building or messing around with that people have really been loving? Yeah, a lot of stuff. I think that first thing is probably like automatic select reports, right? So I'm building this for one agency who, you know, they want their strategist to basically kick off, you know, the day with, you know, some automatic reporting of like, hey, this is how, you know, the ad account is going.
(08:34) And these type of scripts are working well, you know, here, maybe some ideas for videos that you can do some iteration ideas. And so this one is then connected to the official like meta API. So it can basically, you know, download or it gets all of the information from the ad account, such as like amount spent, hook rate, etc.
(08:50) Right. And then saves all of this information in Superbase as well. So this way basically build like a whole like interconnected system, right? You save your like Persona's in there, you save, you know, your well performing ads in there, you save the ad copies, the headlines and all of that data that is associated with this ad account in there.
(09:08) And then each, you know, morning they wake up to like a new report of like, hey, this ad is trending, this ad was maybe a recent launch, it's getting a bunch of spend pretty fast. Or, you know, this ad is, you know, 30% below our CPA threshold, it's performing super well. Here's some some patterns that we've identified, let's try angle X, Y, Z or forever, let's do more ads for, you know, with the split screen hook, that seems to be performing well, like in that direction.
(09:29) And so this is based on the on what Meta is saying, though, right? That's the downside of it is it's based on their reporting. So it's like, it's not a third party or anything. But could you like cross reference it against, you know, North Beam or something like that? If the client wanted to? I think there is, I haven't played around with North Beam, actually, but I think there's a North Beam API.
(09:52) So you can definitely like play around with it. I know also that, and I've tested this, that Motion is coming out with like an API and an MCP server. And so you can connect with that as well. And Motion is obviously also connected with North Beam and North Beam. So yeah, I think that's basically not going to help in the long run.
(10:10) For now, it's, it's basically just, you know, quote unquote Meta. And I saw, you know, it's definitely still more actionable than just looking at foreplay and like maybe even scraping your own ad library. Okay. And sorry, one more question. How do you like tactically do this? Like, what are you using? I mean, I have, I know I have a general idea, but like, what are people wanting to set this up? How do, how are they, you know, setting it up? Ooh, setting this up.
(10:34) So for this, for I think an easy version, a super easy version is getting two minute reports, which is just kind of like Supermetrics was back in the day. It's just you create a report to get the data in Google Sheets. And you don't even need, you know, to connect to any Meta API or whatever. It's super straightforward. And then you use APFi, which is kind of like a scraping website.
(11:00) And they haven't, they have a kind of official Meta ad scraper as well. And then you get the post links from two minute reports, just give them to APFi. It's basically scrapes the, it scrapes the like URL of the asset. So you can like download the video, you can download the image, and then just give that to Gemini.
(11:23) And then you can basically add that data. Like you get the, all of the information that you need, like it's plus the like downloadable files. And you can just add that to Superbase. So you don't need any like Meta API. You don't need to custom code anything really. Just pre-stress for about two minute reports, you know, set up the reports that you're looking at anyway, like maybe high level account overview.
(11:42) And then also you look at like daily, daily ad spend or whatever. And then you can just add that to Superbase. But do you then run like a scheduled roaming cloud co-work or how do you actually trigger these reports? Yeah. So for these reports, so two minute reports, you can schedule. So that runs automatically, you know, any, you know, every day, every week, however often you want to run.
(12:05) And then for getting the data into Superbase, there's another service that I'm using. It's basically called, it's called Railway. So what you can do on there, you can connect like your GitHub and then also basically set up a schedule. So it also runs every single week. And then it, that's for like the Slack automation to get the report into Slack.
(12:27) Costs like $5 a month. So it's basically free. And then it runs every week and basically creates that Slack report essentially. Okay, cool. What I think is really interesting when I talk to different people like you, Freddie, is that what we're learning now is kind of the processes and what's useful and what's not useful.
(12:50) And I feel like the tools are constantly changing, but we're realizing kind of what is, what do we need help with and what we need to get done. And of course, the models will be better, the MCPs will get better. But what I think is really cool is that it's getting like week by week, it's getting more and more useful and we kind of nail down what we want.
(13:12) And we can just like switch out small little tools along the way to make sure that just the output and the results are just getting better and better as the technology evolves. Yes, 100%. I think at the beginning or maybe last year, like lots of stuff was maybe a little bit unnecessary. I think now it's actually turning into like, you know, which workflows are maybe like, you know, taking up too much time or which can be automated and then using AR to automate, you know, those workflows.
(13:37) And one example that I have is also like as a creative strategist, you know, reviewing ads, there was a big, big, you know, chunk of the job, I guess, you know, and one part of that is just like checking for grammar issues on the ads, you know, maybe some of the transcripts, they have like grammar issues or maybe on the ads, maybe like a word is spelled in the wrong way or whatever.
(13:58) And if you're using, you know, certain, maybe Google Drive, for example, you know, you know, as long as they have an API, I'm using frame for this, is that you can basically automate that kind of review part, right? So I'm setting up an automation right now that is, you know, the brand is using ClickUp as soon as it gets turned into, you know, ready for review or whatever.
(14:20) And we have the frame link linked in the ClickUp task. And as soon as something turns to ready for review, it goes into frame, basically using the official API, looks at the image and or video and kind of checks is there if they're like any grammar issues. Now, it sounds like such a small like issue.
(14:38) But in the end, that is like, you know, saving me at least speaking from my own perspective, like a whole lot of time, if I don't, manually have to like check the transcript or, you know, look at a whole two minute long video to see if there's like any grammar issues going on in that video. That's great.
(14:53) I mean, so one thing I'll just jump in on a question, Freddie. So I think a lot of people are thinking about sort of an AI media buyer. And I'm curious if you think this is close. I mean, I know Thomas has done this and Thomas can tell you briefly about his process. But, you know, so the AI media buyer would go ahead and look at optimization ideas and correlation between like in platform, MTA, MMM, and then it would be like approved by a person.
(15:20) So if you have you set this up for people? And if so, like how outside of what you just talked about in terms of like automated reporting, what other things would you set up to make sure? And how what tools would you use to because I think a lot of people are thinking about this. It's like, bring me the ideas and then let me say yes or no.
(15:42) AI D2C WTF is brought to you by Motion. And this episode is brought to you by Runneth from Motion. And if you run paid social, I mean, obviously, you know, Motion, it's a creative analytics platform that everybody uses. But the thing I've been obsessed with lately is Runneth. And it's their AI agent that lives right inside of your ad data.
(16:02) The simplest way to explain it, most people use AI by asking it one thing, like, hey, what did we do yesterday? How'd it go? Runneth is the upgrade of that. You just tag it and ask it to do almost anything. It goes into your account, does it like build me this week's creative recap, pull the data and write a brief on what to iterate next.
(16:17) Tell me which ads to make next. And it goes on and does this in plain English. So two things that actually make it really special, right? So under the hood, it's Claude, right? And anything Claude can do, Runneth can do basically even better as long as you get access. And second, it's wired from everything Motion has.
(16:34) So the AI tags, the creative, the frame by frame breakdowns. And then it's trained by $14 billion in ad spend on Motion's customers, right? So it's pretty insane. So the way that, you know, we're using it, and I know some other colleagues are using it, like I looked at what they're doing, and we talked through it.
(16:51) People are, you know, having it drop a morning brief in Slack on how the account's performing. It gets smarter every time it runs. It's less like a tool and more like a creative strategist working while you sleep. So go see it at motionapp.com. That's Runneth from Motion. And make ads that win without getting lucky. Yeah, I don't actually have set it up yet.
(17:15) But I also saw Zach's tweet, I think, about him, like automatic media buying as well. I don't know if you saw that, Andrew. Zach Stacks. But I think we are like basically almost there. I think a lot of the stuff that helps with this is basically giving the LLM or the AI context, like giving it your own SOPs, like basically, like what you would give your own media buyer, you need to give it to the AI, right? And then maybe not the, maybe the first run isn't the greatest, or maybe not the second, but you give the AI feedback. And then,
(17:42) you know, it gets the memory, it becomes basically a self-learning kind of, you know, agent, essentially. And then maybe in a month or so, you can automate a lot of the media buying. And just because every brand is different, every brand obviously has different like media buying principles and what they act up on, you know, maybe it's CBO, maybe ABO.
(18:00) Just make sure that you give good context to the AI of like how you do stuff. And then, yeah, I'm pretty sure you can automate media, you know, automate media buying to a good chunk. For sure. A hundred percent. And I think, I think this is definitely kind of the next phase of what agencies are going to do.
(18:19) So one thing you're talking about, we've been talking about previously, like doing research or finding typing mistakes and, and, and all that stuff, right? And actually pushing the buttons is, is possible today through most of these different APIs, right? And I think we're going to see big, big, big moves in that space just within a few months.
(18:42) I've been playing around myself with, I have six open machine, Mac meanies on my, in my office around me at this moment. And they're doing media buying now for, for 10 of my, my clients from my agency. And, and it's still a little bit scary, but it actually is working. And we have, of course, our team monitoring and checking in everything.
(19:02) So I think that if me with a little bit of duct tape are able to set something like this up, I think there's going to be a lot of interesting services going around the, around this for sure. Because you're talking to so many different agencies, Freddie, what I would like to get your kind of gut feeling on is how in front of this are agency, DTC agencies today? Are they, are they afraid of this? Are they like surfing the wave? Or are they just waiting kind of what's the general vibe you get out there? Hmm. Yeah, I think they're excited for
(19:40) it. Like some of the stuff that I've seen, like agency owners build is, is super crazy to me. Like they've built some really advanced stuff. And I think everybody's like excited that they can maybe also have their employees do more important work, you know, whereas before maybe they had to, you know, name ads or like even launch ads or like, you know, do media buying, maybe you can do more analysis, or maybe you can do more like high level stuff that's actually moving the needle more than like naming an ad.
(20:04) Um, or, um, stuff like this. I think the agency process is like, is coming down to getting rid of sort of the, the, the noise. And I think a lot, a lot of where, you know, I've seen agencies step in and say like, okay, I've got to figure this out. I got to get better at this is a lot of people spend time, like you said, getting together reports and reporting.
(20:25) And I think it, you know, sort of wrapping all those into a place where a client can take action, I think is the next step. A lot of it is like the analysis is happening. You're giving people these reports on personas. Um, you're putting it, you're putting it in front of them on a platter and the client's like, oh, cool.
(20:42) And like, really the next thing of this is being able to say like, yes, like, you know what I'm saying? I don't know what you think in terms of talking to other agencies. Um, you know, obviously like, I assume these are German agencies or maybe they're not, but they're probably, if they are, they're quite orderly in terms of like getting people the information that they need.
(21:01) How do you see this evolving? Like in terms of other tools people are using and things that they can, um, you know, get on and get learning to make sure that they're ready for, for this. Yeah. Um, so I think like one of the agencies that I'm working with, they basically have their own like custom software, I guess already, right.
(21:22) They have basically kind of like a place for their strategists and where basically, you know, those reports essentially generate ad copies, they generate scripts, um, and stuff like this. And then essentially they approve of the, you know, of those concepts. And if they approve, it goes basically to the client and, um, you know, if the client likes it, they basically produce that type of content.
(21:41) So I think kind of that's like, you know, the evolvement, you obviously, you know, you have the reports and I think that's already pretty helpful, but obviously, you know, next step is like basically generating that meaningful work, which I think for, if we're talking about creative is that, for example, script writing or like finding patterns, for example, and then, you know, they may have like ads manager, like creative strategists, agents, they find those patterns, you know, he has like winning ads and then it goes straight to
(22:05) the, um, creative strategist and they approve of those patterns. They approve of the new hooks and then go straight to the client. Um, so basically kind of, kind of like a mini says, I guess, for those clients of the agency. It's so true. I think it's, it's, it's interesting to me because I think the, each piece of this that is, is getting more automated.
(22:25) So in terms of creation of like, okay, we're building this, you know, the persona builder. And then it's like the next phase of it is now it's like, it's building the persona builder. You have the brand guidelines, it's got it all in there. It's stored in super base. And then now they're able, it's able to like build and potentially publish and start to optimize ads.
(22:42) Um, you know, as, as you train it over time, I think that that's a really valuable one to think about as you kind of go through and learn this stuff, Freddie, like obviously you're deep in it. How are you continuing to upskill yourself? Like, how are you making sure that you're staying on top of it? Um, as much as you possibly can.
(23:01) Yeah. Or is it just messing around? I mean, I get FOMO on the daily about like, there's so much new stuff always coming out. I think, um, basically kind of committing to like one kind of like platform, like, you know, Claude and then also like Codex. Um, for example, I haven't played around that much with OpenClaw yet.
(23:20) Um, and then kind of staying on top and then also just being a lot of, on Twitter. Like there's so much stuff being built on Twitter as well that other people are sharing. Like every day I probably save like 10 bookmarks. And then also just a lot of like, like, Hey, I have this idea, for example, like the creative automation would like automatically reviewing the ads.
(23:36) Like I think that popped in my head yesterday. I'm like, I don't want to review grammar anymore. Just type it into Claude Code. Like here's what I want. Here's what, which software I'm using. Um, can you help me build this? And then 95% of the time it's just, yes, it can help me build this. Um, and then I think the next question is just like, how can I integrate that into my, into my, my workflows? Like how can I make use of this? Not as a standalone workflow, but actually kind of part of my daily routine, I guess. Right.
(24:04) So it's not like one-time build and it's helpful for like 5% of the cases, but like actually helpful on the daily. And the creative stuff that you're built. So you see in terms of Facebook advertising today, creative being obviously the main lever, which I think a lot of us are going on. Do you think that there's going to be a period of time in which like the optimization or the, um, automatic stuff that we're doing with AI is going to be able to, is going to be adjusting bids and things like that? Or do you think that's mostly going to
(24:31) live within, like, it might be a leading edge to do it now, but like mostly meta is going to be doing that itself and you're not going to have to mess with that as much. Like, is it mostly going to be around continued optimize creative? And also on top of that, like, have you done anything messing around with like the other parts of the funnel, like websites or whatever, cause you can do all you can on the meta side, but you know, like obviously the landing pages are massive as well in terms of getting that flow
(24:53) and the match between those personas. Yep. Um, so regarding meta, I mean, I think, you know, you can definitely set up the, I don't know if the API has bit caps actually, if you can change those on the API, but like, I think like, like, like it can, the stuff can be automated for sure. You know, whether it's meta or whether it's like, you know, through an API or through some sort of skill, um, you know, I don't, you know, that's yet, you know, yet to come basically.
(25:18) But I think in terms of landing pages, like definitely, you know, I've played around with this. Um, it's pretty fascinating what you can build. Like I spend like, you know, one afternoon basically built like kind of like a, an, a CRO landing page agent, which basically, you know, generates landing pages, um, for a client. So basically based on the research from the research agent, um, that kind of landing page agent uses that research and the words, the reviews, et cetera, then you could give it like one other landing page that you are having, you know, whether it's a
(25:47) PDP or like an actual landing page. And basically it goes then in there, analyzes that landing page and like iteratively comes up with improvements. Um, you know, you can task it to make like small improvements, kind of like a CRO agency would do it basically. Or you can also kind of completely, you know, restart new landing pages.
(26:04) Um, and those landing pages are so on, like, I was surprised myself, like how on brand they were. Like it was using the exact, like, like even the copy, like it's basically split. So it has like a copy agent, which is basically only responsible for the copy that it kind of, kind of has like a layout agent, which is only responsible for like for the sections for the layouts.
(26:22) Like, you know, how was the hero structure? Um, like how was the kind of buying section structure, et cetera? And it was pretty good. Yeah. You saw the tweet. Yeah. Yeah. Well, so what do you, what tools did you use to build that one? What tools? I just like clock code, basically like typed it in like, Hey, like, uh, I want to build like a landing page agent, um, for this brand.
(26:41) Like here's the research that I've done on that brand. Please make sure you follow those, those, uh, instructions. And then thought of like how, because I think like in terms of like building this, you need to have specialized agents, which are responsible for one specific task. I think, you know, one landing page agent, which does everything probably won't be as good as having like three different agents, but in the same landing page, you know, like a copy agent section, like section building agent, and like a CRO agent, um, which checks for like CRO improvement
(27:06) stuff. So I think like giving one agent a very specific task is like super helpful with this type of stuff, right? Like you have, you don't have one creative strategist agent. You have like one, which is responsible maybe for analyzing the ads. And then another one, which is responsible for like writing the scripts and stuff like this.
(27:22) Just, uh, it's so exciting to just see what's possible and the quality that's just becoming so much better every day. So it's just like, uh, yeah, I'm, I'm, um, I'm both kind of scared and really, really excited at the same time because it's just changing so fast and it's, it's just, um, um, hard to keep yourself updated.
(27:47) So I think that the FOMO you're, uh, you're referring to, Fred, is, is real with everyone. And I think, uh, the more everyone of us can kind of share best practices and also kind of all our fuck ups and that, you know, that, that's what we want is just kind of help each other navigate and understand how to get maximize this to, to help as much as possible with our clients and our businesses.
(28:08) Yeah. Well, uh, Freddie, thank you for coming on. Freddie, Freddie will, uh, we'll do a quick loom overview of some of the things he talked about on this that we'll put in the show notes and, uh, we'll share that along with any links to the other things that he talked about. Um, and if you want to contact Freddie, I can put you in touch with him.
(28:26) You can always email me andrew at foxwelldigital.com and I'm happy to connect. Freddie, you're a rockstar dude. Super appreciate having you on and, uh, we'll talk to you soon. Thank you so much for having me. Thank you, Freddie.
