How I use Claude Code + MCPs to run my marketing

Cody Schneider is back on the podcast, and I ask him to lay out what a real marketing agent looks like once you get past the hype. He draws a hard line: an agent owns unified business data, runs on a cadence, and improves from the results it reads back. We use one concrete business as the sandbox — an AI-first product built on top of WordPress — and Cody walks the entire stack behind a Facebook ads agent that researches pain points, generates static and video creative, publishes through the Facebook Marketing API, kills the losers, and promotes the winners. You leave with a business idea, the exact infrastructure list, and the tools we use to run it today. Timestamps: 00:00 – Intro 01:54 – Defining a Marketing Agent 04:00 – Startup Idea: AI for WordPress 07:27 – AI-First Plugin Ideas: Yoast, WPForms, WooCommerce, Akismet 09:55 – The current state of Meta Ads 12:48 – Bundling the Stack and Choosing Channels 15:23 – Two creative pipelines: static and video 17:25 – The Data pipeline and warehouse 24:11 – Ad strategy 25:51 – Solving for Entropy 28:01 – Let the market pick the winner 34:26 – Closing Thoughts Key Points WordPress powers 43% of all indexed websites, which leaves a wide open lane for AI-first products built on that stack. A marketing agent earns the name when it owns live data, runs on a cadence, and learns from its own results. The infrastructure comes down to three pieces: a pipeline (Airbyte), a warehouse (ClickHouse), and cloud hosting (Heroku, Railway, or similar). Facebook's Andromeda algorithm reads your creative and your landing page, so the ad copy now carries the targeting. Fresh inputs — competitor ad libraries, YouTube transcripts, podcast transcripts — keep agent creative varied over time. Paid ads let you test a thousand angles and read the market's verdict inside 48 hours. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody’s startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx

• 0:00Speaker 00

  Let's be real, the hardest part about building a startup today is getting customers to the startup. You can vibe code stuff now, super easily, we all know that, but getting customers to drive revenue is hard. So how can you actually set up marketing agents that help you do this? I feel like a bunch of people have talked about this, but no one's really gone in depth and clearly explained what a marketing agent is and how you can use it to go and get you customers. In today's episode, it's two parts. We give you a startup idea that I really love. And then we also explain what marketing agents are, how you can set them up, what are the tools you need to understand if you actually want to be a marketing agent manager?

• 0:44Speaker 00

  And Cody Schneider just does an incredible job on this episode of explaining everything end to end. So enjoy the episode and I'll see you at the end.

• 1:00Speaker 00

  Thank the good Lord that Cody Schneider is back on the podcast. Cody, by the end of the episode, what are people going to get out of this?

• 1:09Speaker 01

  Yeah, I'm going to show you and like share everything that you need to actually deploy real marketing agents. And I'm not talking about some like Zapier automation workflow that's linear. I'm talking about like code in the cloud that's making decisions off of your live business data. And then I'm also going to give you three businesses that are concrete. So you can basically feel like, okay, what these agents actually look like for a specific company type. So you're going to walk away with three business ideas and also the agents that you should potentially deploy for them, how to actually deploy them for them, so you can grow the company autonomously.

• 1:46Speaker 00

  As you say, may the MRR gods be with us.

• 1:50Speaker 01

  Blessed be thy name.

• 1:52Speaker 00

  Let's go.

• 1:53Speaker 01

  Awesome, man. Cool. So I think just to start out, like, what is a marketing agent, right? Like, I see this thrown around so much and it drives me nuts. And I've talked to so many people and that I, you know, talk huge game on the internet. And then you like actually get down to the brass tacks with them on a conversation. You're like, you're so full of shit just to be blunt. So to me, like, what is, what is a marketing agent? It has to be three things. It's like, you have to solve the data problem to like give the agent unified data clarity of like the whole pipeline. And then you have to be able to have the agent autonomous, like autonomously making decisions, you know, on some type of cadence, like with like a thinking loop in it, right?

• 2:35Speaker 01

  So in practice, like the infrastructure that's necessary for that, you got to build a data pipeline, a data warehouse, and then have like the ability to host these agents in the cloud. And when I say an agent, like, it doesn't have to be this like AGI Hermes thing, right? It like, or it can think on its own. I actually don't want that. Like, I want something that is like doing a process for me and then looking at the data and then basically like improving based off the data that's getting back from it. So I just want to like define that really quickly for the audience, because I think that there's so much out there that's like, this is a totally autonomous agent that's like running your, your like entire marketing stack. And it's like, no, it's not. Like this N8N workflow, I guarantee you, is not entirely running your marketing stack.

• 3:17Speaker 01

  But in contrast, like I can, and we like, we'll talk about this today, like you can make an agent entirely run Facebook ads now. And I'm talking about like, it is researching the pain points. It is researching the outcomes to your target customer. It's making creative that's on brand, both statics and also like AI avatar, UGC. It's publishing that content into your Facebook ads account. It's turning off the losers. It's promoting the winners. And then it's going in a feedback loop where it's like, okay, what, what is actually working? And how do I go and basically make more content like the best performance? And I'll talk through all that today and try to show you as much as I can. It's not, not really easy to show, because it's just like code. But anyway, we'll go through that. So, yeah.

• 4:00Speaker 01

  And then just to jump into that, the first business that I want to talk about to use is kind of like a, just a sandbox. We're like, how would you actually build and deploy these agents for this, like this company type? It's AI for WordPress. I've talked about this before online, but like I, I have actually pitched like three startup founders this that are like, we got into YC, we don't know what to pivot into. And I just, they always just like, are like, no, I don't want to do this. So I just wanted to hit on this idea. So let me, let me just screen share real quick and kind of show you the data for this, because I think it's just fascinating. And I think it's such a huge category that like nobody is talking about right now. Or that like, nobody's really executing on.

• 4:39Speaker 00

  And before people's like eyes glaze over and they, and they tune this out, WordPress is bigger than you think. So.

• 4:46Speaker 01

  WordPress powers like 50% plus of the internet, right?

• 4:49Speaker 00

  Forty, I just checked, 43% of the internet.

• 4:53Speaker 01

  Of all websites that are like.

• 4:54Speaker 00

  Websites.

• 4:55Speaker 01

  That are indexed by Google or WordPress websites.

• 4:57Speaker 00

  No one's building stuff for WordPress.

• 4:59Speaker 01

  It's insane, man. It's insane. And it's like, it's such an easy space to compete in. It's kind of blue ocean for this. And all I'm going to pitch to you today is like, literally it's just lovable or anything.com but for WordPress, right? So you're just, all you're doing is you're making it so that people can like vibe code their website, but like on top of the WordPress platform. And then the, the business structure is super simple. It's like, hey, you get all this stack, like you get forms solved, you get like, you know, maybe a CRM. You like, all of these plugins that people would go and like hodgepodge together. You just bundle that up into a single package. And then you sell tokens. So it's like, whatever, you know, base tier is $29 a month.

• 5:42Speaker 01

  It gets you X amount of tokens. And then that makes you so that you can go and basically like, you know, build out, design the site with this like pre-built in, like, you know, get forms, these, these pre-built features.

• 5:54Speaker 00

  So you got me thinking that, I actually think that the, there's a bigger opportunity here than just the lovable for WordPress. Because, and you don't know this about me, but back when I was 19 years old, 2000 and, I don't know, I'm bad with math, 2011 or something.

• 6:15Speaker 00

  I was a partner in an agency and the agency's job was basically to get people off their existing CMS and move it to WordPress. And we were officially partnered with WordPress on doing that. So if you called WordPress and you're like time.com, Time Magazine, you're on some custom CMS, they would, they would be like, work with Greg and team to move and do the migration to WordPress. WordPress is happy because they want more people, right? And, and time.com is happy because they basically need someone to handhold through the process. So it was a great business. We did like time.com, techcrunch.com, bunch of big websites.

• 7:02Speaker 00

  The amount of money I saw that in the, in the WordPress automatic ecosystem and plugins was absolutely absurd. So what you got me thinking about is, you know, the, the play is basically, how do you find plugins that have validated demand, that don't have an AI component? And building the AI first version of each? Because you already know that, you know, there's proven demand, people are paying for it. And then you just make them 10x better with agents. So I'll give you a couple of examples. The Yoast SEO tool, do you know about that one?

• 7:40Speaker 01

  No, yes, I've used it forever ago.

• 7:43Speaker 00

  Forever ago, right? I think it was, I think it's a guy named Yoast. I could be wrong, but I think it's a guy named Yoast. There is no way that they, you know, that they have an AI first version of that. So, you know, instead of showing you red and green dots and telling you to fix things yourself, just have an agent do it. It writes the meta, it restructures the content, it adds the internal links, like make it AI first. And I'll give you a couple more. WP forms.

• 8:11Speaker 00

  That was a huge plugin back in the day. Make an AI form that talks back. So instead of doing like a static form, you do like a conversational agent that qualifies a lead and answers questions. Woocommerce, one of the most popular, you know, WordPress plugins. You know, do like an AI storekeeper. So it automatically writes product descriptions, abandoned cart flows. You know, it can go on and on. Another, another one is Akismet, which is the spam plugin. Like, there's just so many. So all you have to do.

• 8:44Speaker 01

  Event Security, like there's, it's just endless, right?

• 8:47Speaker 00

  It's endless.

• 8:47Speaker 01

  There's so many of these.

• 8:49Speaker 00

  There's so many and people are paying for it. 43% of the internet is, is, is powered by it. The hard part is.

• 9:01Speaker 00

  Is obviously building the product, you know, making it good, making it work. And then finding, you know, a distribution channel that you can actually get customers.

• 9:15Speaker 01

  Totally. And I think that, again, the bundling of all this is where the opportunity is. It's like, okay, I'm going to give you all, like, all the plugins that you would normally be paying for. Instead of the aggregate of those 10 that are necessary. Now you pay a 10th of the cost, you know, or a fifth of the cost. And I'm going to give you everything and you're going to also be able to like vibe code to the design of this, right? Like, that is the business opportunity here. And then to your point, like, how do you market this? Right? And this is where this gets so fun. Like, I'm having the most fun in my entire career right now with what we're doing. And so I can't wait to share this with you guys. But anyway, so the op, like, how, when I think, look at this company, like, where do you meet the people that are like trying to learn, like, how do I do this?

• 9:58Speaker 01

  Or how do I, you know, do this work with my WordPress site? So like Facebook ads and Google ads are going to be the first two places that you can go to. And I'm going to talk through a bunch of different things, different opportunities. But this is just like, we're going to just run down the list of all the things that you could do. And here's how to deploy agents for them. So on the Facebook ad side, so for, for targeting on Facebook anymore. After Andromeda, you don't do interest-based targeting. Historically, how I would probably do this is I would actually go and I would target people who have a WordPress interest on Facebook ads. Now, you don't need to do that. You just basically have to make ad creative that is talking to the pain points or the outcomes of the person that you're trying to sell to. And then send them to a landing page that like describes what the product is. So what is Andromeda? What, how does it work?

• 10:43Speaker 01

  And like, what, what, what do you need to know about this? So Andromeda is Facebook's new, like, ad algorithm, right? It basically, it decides what ads get shown to what people. And how it functions is the, uh, the AI is basically looking at the ad creative. And it's understanding, okay, like, what is in this static ad? What is the, what is the image? What is the text? What is the video? What's in the video? What's the script of the video? And then it also understands the landing page that it's sending the people to. And then from that, it basically uses that information to decide what ad gets shown to what person on the platform. So I, you know, jokingly on Twitter, I've been saying this a lot, and I mean, I mean this, though, from like the bottom of my heart.

• 11:26Speaker 01

  Facebook has turned into the best B2B ads channel, and that exists right now. And the reason for this is like, we'll make these ads that are so obscure. Like, it's like, maybe there's like 10 people in the, in the US, right? That like would, would, would be having this problem right now. And Facebook will find those people and show that ad to it. And we'll get that lead, like a qualified lead for a B2B business. It's ridiculous. So anyway, to take a step back to the WordPress side, like this AI for WordPress thing. What you end up doing, and like, I can already see what the creative looks like. Like, the script end of, ends up being like something like this, like, oh, uh, this is kind of crazy. I used to be paying my agency $1,000 a month to maintain my WordPress site.

• 12:08Speaker 01

  And they were not responsive and they never, uh, like actually could do the designs that I wanted. But I just found this, uh, this, uh, this plugin for WordPress that makes it so that I can chat with AI to change my website. And it includes all these plugins that I used to have to pay extra money for. It's just a part of it for free. Click the link to learn more. If you run an ad like that, Facebook is going to automatically identify, okay? These people are WordPress website owners. They have this problem. It's going to show that to them. And then you basically set up a conversion event for the signup action, for the payment action that's deeper within the funnel. So how do you actually do all of that? Like, I'm just, I'm talking through all this.

• 12:52Speaker 01

  Let's just like go into this deep, uh, and, you know, break down like what this actually looks like from an agent perspective. So. Okay, so the first thing is researching the pain points of your target customer. I'm just going to use perplexity for this because I've just found that it's, it's easy to do live, like sharing this. Actually, let me stop this and I'll screen share it a different way, just so that you can just see the window. And, uh, for this, we're just going to do like scrape Reddit.

• 13:23Speaker 01

  Pain points and outcomes that people that run WordPress websites have. For like, why would they buy an AI WordPress tool that basically like solves all the plugin problems? And makes it so that they can vibe code the design of the website?

• 13:41Speaker 00

  The reason you're doing Reddit, by the way, is because there's a real people

• 13:47Speaker 00

  just complaining, basically.

• 13:49Speaker 01

  Exactly. That's exactly why it is. It's basically dialogue. And again, a lot, like Reddit is being eroded right now by people manipulating it for like LLMs to rank on them. But this is a way.

• 14:01Speaker 00

  By people like you.

• 14:02Speaker 01

  By people like me that are basically creating the dead internet. Let's be real. It's already happening. I am the problem. But with this, though, what it enables is you basically can identify, like, what are the problems that they're facing? And then from this, this basically seeds the creative that I want, that I, that I go and make, right? So I found these pain points, right? Let's like pull out, you know, one of these that makes sense.

• 14:31Speaker 01

  So content workflows, customization requires development skills, right? This is one that you could talk to. What I would then go do is like, once I found this information, I'd be like rank stack based off of, uh, the most referenced.

• 14:51Speaker 01

  Just to give us like, what are the top three? And then once I've identified that, so the plugin layer, most reference, this is the biggest pain point for people. Awesome. That is what ads are going to be about. Performance and speed. Cool. Can we make this super lightweight? Can we use something like Astro to actually like serve it to the contents really fast? Security and maintenance. Okay, how do I make it so they never have to think about plugin security again? So that their site doesn't, you know, randomly get gambling ads on it? And then get de-indexed by Google for their pest control business, right? So with this, what I then go do is I'm going to use Kai AI. Is what, uh, we're using right now for all of our image generation.

• 15:33Speaker 01

  Basically, it's just all of the image models and video models in the same place. And so with this, I can then go and bulk generate static creative. And the way that we found to do this is you basically give it an example of an ad that is already being ran by either a competitor or by somebody like, you know, somebody in a tangentially related industry. And we're just using Google Nano Banana for this. So the agent then, again, is generating this creative using the static. You can make this as advanced as you want. This is what we're doing a lot now so that it always hits brand style guides. And what do I mean by brand style guides? That's like, what are the fonts that need to be used? What are the colors that need to be used?

• 16:16Speaker 01

  All of these specifics about the company, about the brand, right? So with this, uh, you basically can put a vision model over the outputs. And be like, hey, does this match brand style guides? So what I'm getting back from Google Nano Banana, I can be, I can, you know, basically qualify the, like, is, is the text all readable? You know, does the fonts that are being used actually on brand, et cetera? And then from that, uh, you basically have this way to make statics. And then on the video side, what we're still using and still seeing great results with, which is crazy to me because it's not even the best, is HeyGen. But we're starting to experience more and more with Seed Dance. And this is like where this is all going to go.

• 16:59Speaker 01

  It's just hard to do the stitching across, uh, like Seed Dance, like for longer, you know, 30 second videos. You can only do up to, I believe it's nine seconds. Don't quote me on that, but it's, it's less than that. So you basically have to like stitch these frames together is the challenge. But this is where this will end up going. And then it's just like AI avatar UGC that's talking about the pain points or outcomes that you just extracted from what people are saying online. And everything that I'm describing here, this is just an agent that's done this work, right? It is an agent that's done this research. It's an agent that is calling, doing the API calls to actually build out the creative. And then from there, how do we actually get it into Facebook ads, right?

• 17:42Speaker 01

  So to get it into Facebook ads, then what we're going and doing is we need to use what's called the Facebook Marketing API. And you probably, if you're online at all and not living under a rock, you've probably seen tons of people where it's like, I got my Facebook ads account banned, right? Because I was using an agent with it. The agent is not the reason it got banned, all right? The reason it got banned is because they violated TOS and they spam the API because they were trying to pull in like, you know, hundreds of millions of rows of data from their Facebook ads account. And that is not the way that you, you can't use the API in that capacity. Like, it's literally like that, that's against Facebook's COS. That is the problem.

• 18:24Speaker 01

  So how you actually use the Facebook Ads API is you use the API only for rights, like only to publish content to the Facebook Ads account? Or to turn off or to, um, uh, basically like promote ads? And I'll talk about that more in a second. And this, I'm realizing, just based on time, this whole video is just going to be like, how do you build? Like an actual like marketing agent, like, we're going to only probably get through one of these. If you want more content like this, this is all I talk about on the internet. So just like, go follow me across channels and this is what I share. But, um, anyway, with this, so the, to solve the data analytics problem.

• 19:07Speaker 01

  You have to build a data pipeline and a warehouse. So the open source way to do this is using a tool called Airbyte. You can host this like, you know, anywhere. You can literally have Claude code go and do this for you, right? Set this up. And then you can use a data warehouse called ClickHouse. These are both open source solutions that you can self-host. And I'm just giving you those as the, as like, you know, the, the, the way that that is totally accessible to anybody.

• 19:32Speaker 00

  And Cody, can you explain like, what is a data warehouse? Like, what are these things?

• 19:37Speaker 01

  Absolutely. So a data warehouse is a way to unify all of your data sources into a single location so that your agent has the ability to understand all of the data in context with all, like, all channels in context, or all data sources in context with all the other data sources. So I'll give you specifics. That was a very like, you know, broad way to explain it. So say, for example, I'm running Facebook ads. How do I actually run effective Facebook ads? I need to do probably four things. I need to have my Facebook ads data. I need to have my Google Analytics data. I need to have probably my post hoc data, maybe my, my CRM data. So like my HubSpot data. And then I also need to probably have like my Stripe data to understand the entire stack of like, I ran ads

• 20:21Speaker 01

  and did customers come out the other side, right? And then how do I actually tie the literal, specific ad that is driving revenue for the company, right? This is how you do that. It's by having this data warehouse that has all of the data in a single place. Now, to get all of that data into a single place, you have to build a data pipeline. And so Airbyte is a data pipeline solution. It's self-hosted. And it enables you, basically, they have all these pre-built connectors that enable you to pipe all of your data into a data warehouse. So when you think about like, you know, visually how this is happening, and we can just like, TL draw this real quick to actually show you.

• 21:00Speaker 01

  Basically, what I am doing is I am giving my agents, so say I have, you know, these like five different data sources that I'm pulling from, we'll just do three for the sake of time. And I'm putting them all into a data warehouse. And that data warehouse, I'm then giving my agents access to it. So imagine I have this agent here that can read this information. It's back and forth, right? And this is the Facebook Ads agent.

• 21:39Speaker 01

  And this Facebook Ads agent, how it works is it basically is looking at that data stream. And then it is making updates within Facebook Ads, right? And then that Facebook Ads data is going back to

• 22:01Speaker 01

  like where we're pulling from, which goes back and basically back into the data warehouse. Actually, this is probably more like this, like back into the data warehouse, right? And so this is how I'm creating this like loop that is basically learning, right? I'm giving the agent access to the live business data, access to the live stream. Also, what this enables for you as a business owner is you can also interact with this within your Claude code, within your codex, whatever that is, right? And whatever your daily driver is. And the reason that you want this is you can have conversational analytics and also build like custom dashboards with this data, right?

• 22:41Speaker 01

  So you can literally ask like, okay, like, we're like, we're having trouble, like, say you're again, Pesca Control Company. Or, or we'll say, I don't know, something like your commercial HVAC. Like, we're having trouble hitting payroll this month. Like, what is going wrong? It's like, oh, your accounts receivables are like, oh, you can literally have those conversations with your marketing data, with your business data. This is the way that you can enable both yourself and your team to be able to do this, right? So how do you actually, so how do you actually set this up? So we've got the data pipeline in the warehouse solution. Now for hosting the agents. Everybody's doing this already, like locally with like their Claude code. And they like, I mean, I've seen these crazy setups where it's like, yeah, I'm deploying these solutions onto, you know,

• 23:26Speaker 01

  my Mac Mini that I bought for Open Claw, but now it's actually just like working as a server. Like, you don't have to use a Mac Mini locally as a server to do this, right? You can just deploy this into any cloud. It can be into Heroku. It can be into Railway. It can be into like any of these solutions. And again, I'm just giving options that are reliable. But basically, an agent is just code under the hood, right? It's just a decision tree that's like, cool, here's a live data stream. I have some like decision loop that's happening where an LLM is thinking. And then I'm basically having it optimized for an outcome, which for most companies is like, how do I make the business more revenue, right? So anyway, that is kind of the, the, the infrastructure that's necessary to actually make these agents function.

• 24:11Speaker 01

  Once you've got this whole thing set up, what is possible, just to give you like a scope of this? And we're doing this for companies right now, is you can actually like create, so for example, like for one company, we're doing two different ad sets per day, five ads per ad set. They automatically get uploaded into Facebook Ads based off of all the research that we've done. And also the data that exists within the data warehouse, like of what has worked, right? And we are based, so there's like a learning loop that's happening on top of this. The agent is looking at, okay, I published these 10 ads. It lets it run for like a two to three day window for like, it to get initial signal.

• 24:57Speaker 01

  It turns off the worst performing ads. And again, how is it getting that information? It's pulling that information from the data warehouse, right? It's pulling, okay, what is the worst performing ads? Let's turn those off. The winners live on. And then the winning ad sets, they go into a winner's pool. And they're competing against each other for the ad budget that's available. And then over the top of that, you can have a vision model, or honestly, like how we're doing this more and more is we build a database of all the ads that we have created. And it's literally like the JSON props that we're sending to Nana Banana or the ad scripts that we're using and we're sending to Hager Seed Dance.

• 25:39Speaker 01

  And that is what we are letting the agent analyze of like, okay, what is actually working? So that it can, it can go and, you know, basically become more effective at making creative that creates outcomes. So the problem that happens with this year, and again, I'm going to get into the weeds and talk through a lot of this, you know, in detail, just to share the, the issues that come up, is you have to solve for entropy. So like, what is entropy? It's like, basically, the agent gets stuck thinking in the same way. So how do you solve for that? The two ways that we've found that we can solve for it is you can use the Facebook Ads library to pull ads from competitors' libraries. And that basically like puts new DNA into the system. So you're basically feeding that source text that you did that research on.

• 26:24Speaker 01

  And then the other thing that we found to work is taking YouTube transcripts and also podcast transcripts. And basically pulling out the insights from those. There's like hundreds of YouTube channels that are just designated to like, you know, for example, WordPress. You can pull out the insights from those and then run ads basically off of, off of those insights that you aggregate. So this is a way to solve that, that, that, you know, kind of like entry problem. But what this ends up looking like in the, in the, you know, the final form is like, it's like a virtual employee, Greg, is the best way to describe it. This virtual employee, all it's doing is focusing on Facebook Ads as the channel. And how it can actually like operate and function is because it has all the necessary data it needs

• 27:08Speaker 01

  to think through what is actually driving like outcomes that we are like, that, that drive business revenue, right? And this is where all this is going. Like, I, it's so funny. I talked to like so many marketers on a weekly basis and they're all like, is my job secure? And I'm like, I don't know. Like, can you do this? Like, this is what this turns into is like, your job now becomes like, I'm an agent jockey. You're taking your domain knowledge that you have and you're basically like building this into code. And like, I'm not technical, right? Like I can set this up now, like the models are smart enough now, we're like a semi-technical person, or just if you have access to Claude code and literally just give it the transcript that I just like, you know, we just created on this call, be like, okay, I want to set

• 27:50Speaker 01

  this up, walk me through this process, like you can go and build out this solution, like that is the possibility here. So anyway, but yeah, happy to answer questions about that. That was one agent. I can go down into a deeper one as well. So.

• 28:01Speaker 00

  Okay. Yeah. And I think, um, taking a step back, it's like, well, why are, I know it's crazy to say this, but why are Facebook ads important? Well, okay, if you're going to steal an idea from this podcast or come in, come up with an idea on your own, you're going to vibe code something that you think has value in the world. The biggest question I get is how do I actually get customers to this thing? Um, and the truth is, Facebook is the most cost efficient way to do it. Um, if you don't want to go and create content, which takes time to actually, you know, build an audience, like I, I still think that people should create content, but at the same time, be thinking about how can I create an, you

• 28:46Speaker 00

  know, an ad set that is going to perform. Now, what people, the mistake that people make is they try a few ads, it doesn't work, so they give up. And they don't realize that, uh, you actually should be taking the same ad and just like changing the positioning a little bit. Um, because, and, and, and changing it a little bit, like 10 times or 15 times or 20 times, right? And what happens is like, I'm shocked sometimes with some of the Facebook ads that I do. And I'm like, wow, I didn't think that this ad set was actually going to work. This positioning was going to work. Like, for example, you know, let's

• 29:29Speaker 00

  say we wanted to do that WordPress plugin idea. And let's say we wanted to compete with Yoast, the SEO plugin, like maybe the positioning is Yoast is bad. And I, you know, it's just like an anti Yoast, you know, and, and you never would have thought that.

• 29:44Speaker 01

  It makes you do work rather than doing work for you. Right?

• 29:47Speaker 00

  Right.

• 29:47Speaker 01

  Like, there's a great, there's so many angles that you can pull out of that. To your point too, I just want to piggyback off of this. Like, I think a lot of people come into marketing and advertising and they're like, I know what the market wants. I'm going to impose this idea on the market. That is not how this works, right? We're not Don Draper. We are like putting creative into the mark. Like, why is, why is paid ads the most, like, why is Facebook ads, why is Google, why are they the most powerful assets? Like, why, the most powerful marketing channels that have ever existed? I can go and test a thousand different ad creatives. And like, I'm going to have clear delineation on like, what is winning and what is being the most, what is the market most receptive to, right? And you're going to know that within 48 hours. And I see this all the time where like, oh,

• 30:32Speaker 01

  they're like, oh, I don't want to go run ads. I don't want to like, I only want to do organic, right? Or like, how do you grow? It's only by word of mouth. I'm like, this is such a, that's such a rookie way to look at the market. Like, you should be doing all of it, number one. Number two, like, you need to think about, how does this, like, this is the only system where I put a dollar in and like $5 can potentially come out the other side. And I can just keep feeding that ATM where it's like, I just keep putting money in and that same, you know, volume of will come, like that same multiplier will come out the other end. So anyway, just a.

• 31:06Speaker 00

  And, and so what's changed, like, why I now I'm into Facebook ads, honestly, is because of the systems that you're describing. So like, in the past, if you were a founder and you wanted to do what you're talking about, you had to hire an agency that would cost you tens of thousands of dollars a month to go and run this at scale. Now, you just need to set up the system that you talked about. And of course, it needs to be fine tuned. Of course, there needs to be, it needs to work, right? Of course, you need to solve for entropy, which I'm happy you spoke about, because no one speaks about that. People are like, oh yeah, you set it up and then this is good. It's good. Like, no dude, that's lit.

• 31:46Speaker 01

  Literally the opposite.

• 31:48Speaker 00

  Yeah. Have, have, the people that say that have never set up anything, right? Cause uh, as soon as you, it might feel good, like on day one, but on day two, it gets a little worse and day three and four and five, until you get this point where you're like.

• 32:03Speaker 01

  Lifestyle choice, man. I think that's the thing that people like have the hardest, like, when you think about marketing, like people think about it in campaigns, like I start a thing and then I stop a thing. And that is not how this works anymore. Like how marketing actually functions now is like, you're continuously doing this. And because the feedback loops are so fast, like, I mean, when you look, a great example of this is if you just look at like the fashion industry, like how quick the, the trends occur now, it's like 10x faster than what it was 20 years ago, right? And what it was in like the early 2000s. And so when you think about that and apply that to everything, like how quick the market moves, you have to basically have like, you know, some type of observability

• 32:46Speaker 01

  of what's happening. So that you are adjusting your, you know, ads, your positioning, your, all of the strategy that you have across your, your, your go-to-market, based off of those trends that are, that are basically like evolving. And where does all this happening, right? It's all on short form social. Like, that is where all this kind of originates from. And then trickles down and everything else. So you can actually do this, right? There's another way to solve this entropy problem. You can use tools like Viralow, they have an API, basically is like, it scrapes, uh, like all of TikToking. I think they're doing Instagram reels now, don't quote me on that. Um, but basically I can be like, hey, show me all of the most viral, like posts that are in the beauty category from the last week. Cool. What are there, are there trends that are happening here? Are

• 33:29Speaker 01

  there like certain content formats that are happening here? And can I use that information to basically influence the creative output that I'm doing? A hundred percent you can do that. This is again, like how you can, how, it's this push and pull with the market that you're doing constantly, right? And like agents for the first time have, can enable you to do that. Like, what I just, if I wanted to go and create a hundred ads, right? And get that into Facebook ads, like that is probably like two weeks of work, right? Historically. And now you, as a founder, like literally in the next hour and a half, you can have this whole system that I just described set up and be able to actually go and publish this content, like at scale, with the understanding of what's actually working. And maybe there's a human in the loop to begin with, but like, what this gets

• 34:13Speaker 01

  to is like, you're going to understand, like, this is what's actually functioning. Cool. I now want an agent to go and run this. I deploy an agent into the cloud with the necessary data stream that it needs so that it can actually make these decisions. So.

• 34:26Speaker 00

  Cody, what else did you want to cover?

• 34:28Speaker 01

  Dude, I have so much. I have to jump in two minutes now. So like, it's, I'm kind of bummed. Um.

• 34:34Speaker 00

  So folks, comment if you want more marketing.

• 34:38Speaker 01

  I'll come back and just do a whole series on this. Like here is literal, like agent by agent, like descriptions, like showing the actual like structures, talking through the actual campaign structures. Um, if that is what people want, like, this is again, all I'm thinking about right now. This is all I do from when I wake up to when I go to bed at the moment, because I'm obsessed with it. That is uncomfortable how, like, it's a compulsion and this is not really a choice. So anyways, yeah, Greg, didn't mean to cut you off.

• 35:07Speaker 00

  No, no, no. Uh, let us know. I think like, it, you know, people, like I said, people want to figure out ways how they can use AI agents to get them customers. Um, so I think marrying like, here's a couple of ideas with here's some, here's some agents is going to be helpful for folks.

• 35:24Speaker 01

  Let me rattle off some and then you comment what you want and we'll come back and we'll do this, right? So I can, we can do Google Ads agents that are entirely running your Google Ads account. We can do influencer outreach agents that are researching influencers within your category, cold emailing them, and then negotiating the pricing with them and hand raising for when, you know, they think it's a good person. We can do cold email of like, how do I go and find all of the customers, you know, that I'm trying to sell to, find their email addresses, how, like cold email them and then have an agent managing that inbox, like responding to them to book me meetings. We can do TikTok reel farms where we're basically like making 10 TikTok accounts in the cloud and then at

• 36:06Speaker 01

  scale, making slideshows that are related to your product, scheduling those and posting and aggregating all of the views across that. We can do, uh, what are some of the other things? We can do SEO agents that are doing keyword research, researching the article, writing the article, having the article be on brand for your voice. Like, how do you actually give it a unique perspective or point of view so that it has that like, you know, basically personality to it, so that it actually ranks well and it's like good to read? We can talk about AI search and how do you build citations? How do you actually do cold outreach to get your brand listed on the citations that are already being shown in the category that you're in? Uh, we can talk about social media management and like,

• 36:50Speaker 01

  how do you get an agent to run your LinkedIn account, to run Twitter accounts? Uh, we can talk about how do you get agents to build email newsletters, uh, that are related to podcasts and actually research the podcasts, write the podcast script, use 11 Labs Voices to read the podcast script and then build lead magnets to build an email list on the top of that podcast for an industry like e-commerce. So you comment what you want to learn. I'll come back. I'll share all the things that we're seeing and all the things that we're deploying. I'd love to do that. I think it'd be awesome. So.

• 37:21Speaker 00

  God bless you, Cody Schneider. You know, I appreciate you.

• 37:24Speaker 01

  That's so clear.

• 37:27Speaker 00

  We'll see you next time. And, uh, yeah, I'm curious to see, hear what people think.

• 37:32Speaker 01

  Yeah. If people have questions, uh, let me know too. I'm, uh, I'm active on Twitter and LinkedIn. Those are the biggest places. Uh, then companiesgraft.com, all this work that I just talked about, that's where we're doing this. So thanks for having me, G.

• 37:45Speaker 00

  Later.