Claude Code marketing masterclass [from idea to making $$]

How can you use AI agents, MCPs, and a bunch of different tools to make money on the internet? Today, we walk through it all. Yes, you can vibe code anything right now, and that's great, but how can you actually use AI agents to get you customers 24-7? Well, today we live build it. We actually spun up 10 Cloud Code instances and we show you how you can do it to help you

get customers on repeat. I loved this episode. It's my friend Cody Schneider. He's an

absolute legend when it comes to vibe marketing and growth marketing. This episode is saucy.

And by the end of the episode, you're going to feel pretty confident you know what to do. You are in for a treat. Enjoy the episode and I can't wait to see you in there.

Cody, by the end of this episode, what are we going to learn? You're going

to learn how to build your first agents that allow for you to go and build personal software to do marketing, sales, growth, customer experience for yourself. And

by the end of this, you're going to come out of it with this whole new tool set that allows for you to do all of the middle work without touching a keyboard. You're just going to use your voice and have agents do work for you in the background, man. It's going to be crazy. Okay, and can you list off a few of the tools and pieces of software we're going to use?

Yeah, absolutely. We're going to touch Phantom Buster. We're going to use Instantly AI. We're

going to use Raphonic. We're going to use Railway.com. We're

also going to use a bunch of different other tooling that's in my go-to-market stack.

So we're also just going to use like the Facebook Ads API as an example, as another just like, you know, way that we're going to interact via this agent harness cloud code. All right, and we're going to live build it and everyone, well, you're going to watch the whole thing, so let's get into it. Cool, sweet man.

So just to begin with, do you know like GTM engineering or like what it even means or like where it comes from? No, honestly, I don't. It feels like a buzz, it's just a buzzword, right? So this is actually like made up by clay.com, which is hilarious. And they originally did it as like a way to explain

somebody that like does basically like cascading workflows for like data enrichment to do outbound sales motions over email or Slack or, you know, it could be like cold calling. So that was kind of the origin of this was like it was just

calling. So that was kind of the origin of this was like it was just basically this term that was given to it. But. It's quickly evolving into something entirely different. And so let me screen share and I can just like show you

entirely different. And so let me screen share and I can just like show you like what we're seeing this work as now. But basically like what we're like seeing is that the, can you see this all right? Yeah. Cool. So how I'm thinking about it now is like basically everything that used to be the middle work that we would do, like, all of anything that I would do to touch the

keyboard, I'm now passing it on to some type of agent harness, whether it's Claude Code or it's Codex or any of these tools. And so my job suddenly turns into like, I have ideas, I pass them on to Claude Code, and then I'm basically polishing the end product. And it enables me to do like things at scale

that were just previously impossible. And just to give you like a taste of like what I'm talking about, we're going to do this today, like build a hundred Facebook ads, publish them to Facebook, build a dashboard to track that, analyze the data within clog code, have it turn off the Facebook ads that are the low performers, have it bump up the Facebook ads that are the best performers to a new

ad set with its own dedicated budget. And everything that I just described that happening in like literally, you know, 30 minutes. Anyways, again, not really sleeping. So this is kind of where it's at now. And I'm going to talk

sleeping. So this is kind of where it's at now. And I'm going to talk through like this whole setup process and actually how to do this. And then I'm going to talk about where it's going, like how agents are the natural evolution from this. Basically, as soon as you like start, you have this epiphany of like, I

this. Basically, as soon as you like start, you have this epiphany of like, I can get this thing to do work for me. Then you suddenly have this, like, you come to come to Jesus moment of like, oh, I can just deploy this onto a server. And now it's doing this task for me in the background. And

I'm building out this personal software for myself, for my job, for my tasks, et cetera. And this isn't some like, hype thing of like go do open claw and give it access to everything. I'm talking about like specific like jobs to be done workflows that are custom made for how you want to operate in your day to day. So that's kind of the high level man. Any questions I can

try to answer have to go deeper on anything. No, I'm if you can teach me this by the end of that episode. I mean, that's sort of that. That's

I think the question that a lot of people have in their heads right now.

Like, how do I How can I do that? Right? Because that's going to be an unfair advantage. So yeah, let's go through it. Perfect. Let's jump into it, man. All right. So first off, what you need to do if you're watching right

man. All right. So first off, what you need to do if you're watching right now is I want you to go and I need you to create a folder that you're going to start living out of. So the one I live out of is called Graft Growth Agents. So everything I do now where I start my work, it all exists within here. And the first thing that I'm going to have you

do is you're going to set up an environment file. And this environment file, it just holds all of your API keys that you're basically going to be working with.

So what I'm doing is I'm basically having and I'm just not going to show this just because it has literally all of our API keys for everything, but it has I can open up this example one. So it has like intercom. It

has our SendGrid API, my HubSpot API, my Cal.com API, my Perplexity API, my Facebook Ads API, MillionVerify. instantly. Everything that I live on top of that is a part of my day-to-day growth stack, this is like what I'm working with basically. And so what this translates into or like

why you start here is you're basically starting to interact with everything that you do on a daily basis via the APIs. And this is actually how I'm thinking about everything I do now and like how I buy software in particular is how robust the API is. It's funny. I was talking to a friend recently and he's like, if you're looking at Salesforce versus HubSpot right now, Salesforce, even though it's like historically

a more clunk like clunky CRM, it's actually the better product for this AI foundation because it has a more robust API so you can do more with it basically.

And this is what this like turns into is your all of the work that you're doing and we're going to do this together today is going to be happening from this this like repository. When I say repo, all I mean is just this like folder that we're living in that has all of these files. And I'm going to be using cloud code like throughout the rest of the session to basically be

building out this personal software and be building out, you know, actually doing work, if that makes sense. So that's kind of one component of it. The last piece. is

then I would strongly suggest getting something like a Super Whisper or any of these other transcription softwares because it enables you to just so quickly go through the process of building out like what you're trying to do on the distribution side. And then

optional is just installing the Claude Code front end design skill. I've just found this to be like one of those things that if we're gonna generate a UI, it's nice to have it look pretty. So, all right. That is kind of the foundational pieces. Now it's actually like, great, that's cool. You've just built this. What do you

pieces. Now it's actually like, great, that's cool. You've just built this. What do you actually do to go get started on this? So the first thing that I'm gonna do to get started is I'm going to go and I'm gonna have a Claude Code start responding to people on LinkedIn for me that have asked for an asset.

So I've been doing all of these like giveaways basically. Here's one that's an email triage. I wrote this giveaway notion document. I'm now gonna go in and I'm gonna

triage. I wrote this giveaway notion document. I'm now gonna go in and I'm gonna get this agent to start running for me in the background while I have other work going on. So I've got the Claude code, or sorry, I've got the Claude Chrome extension installed. And I'm going to go and I'm going to say, so I'm working out of that directory that I've already been in. And I already have built

this basically skill and it's a piece of software that will go and comment on everybody that asked for this asset. So I'm gonna say this right now. I'm gonna

say, let's run, or we're gonna transcribe it. So let's run the LinkedIn respond software. The keyword that you're looking for is

respond software. The keyword that you're looking for is triage. I'm gonna provide the notion documents and the LinkedIn post URL.

triage. I'm gonna provide the notion documents and the LinkedIn post URL.

And then I'm going to select the post URL and I'm going to put that in. And then I'm also going to select the Notion document that I want it

in. And then I'm also going to select the Notion document that I want it to do as well. So I'm going to give it that. It's going to start running. So what it's going to do right now is it's going to basically open

running. So what it's going to do right now is it's going to basically open this up. I'm going to babysit it for a moment while it starts this process.

this up. I'm going to babysit it for a moment while it starts this process.

and just make sure that it starts on the right path. And then once it's on the right path, then I'm gonna go and basically start on the other things.

And actually, while it's thinking, let's just go to these other places. So next thing I'm gonna do is I'm going to go, or sorry, that just opened the LinkedIn profile. Let's bring that back over here. So this is now running.

profile. Let's bring that back over here. So this is now running.

And so this should now start commenting on those responding back to those people. I'm

just going to change this to most recent just so that it works backwards on this. And then we're going to just let that run in the background. So while

this. And then we're going to just let that run in the background. So while

that's happening, what I'm going to do now is we're going to build a Facebook ads generator. So I've been doing this where it's basically a, and I'll show you

ads generator. So I've been doing this where it's basically a, and I'll show you an example of what this looks like. Let's just go over to LinkedIn and I can give you an example of the output that we're going to actually create today.

So it's basically a bulk generator of ad creative. We're going to create this template and then I'm going to go and do research based off of Reddit and other social media posts for the pain points that people experience. And then we're gonna go and bulk generate all these variations. So let's get that started right now. So I've

got, again, those API keys are stored within here. And I've also made that skill. So I'm gonna tell it right now, I want you, I want you to

skill. So I'm gonna tell it right now, I want you, I want you to create a bulk Facebook ad generator. It's going to be a 1080 by 1080 pixel image. What's going to happen is I'll give you an example of what one of

image. What's going to happen is I'll give you an example of what one of these ads looks like. And then we're going to go and build a template around that. And then I'll basically create a or give you variations of text,

that. And then I'll basically create a or give you variations of text, both titles and paragraphs that I want to be generated. It'll be a zip file that we download for the beginning. Can you make this into a UI as well so that we can visually see the creative. The first thing I just

want to be able to see is what the actual creative will look like. For

this, you're going to use just React components. So I don't want you or like just purely build it with React components. And then also to actually change those React components into a PNG that's downloadable. We're going to use HTML to Canvas. It's just a resource that you have available for you on that. Ask

Canvas. It's just a resource that you have available for you on that. Ask

questions if you need. So I've just transcribed that. I'm now going to put Claude into plan mode and I'm just going to let that start running in the background.

All right. So while that's running in the background, let's come back here and let's see the work that it's doing. So it's going through these and I believe it's now commenting. So that's happening. So we'll just let that run in perpetuity, respond back

now commenting. So that's happening. So we'll just let that run in perpetuity, respond back to them. All right. So next I'm just going to just click through this quickly.

to them. All right. So next I'm just going to just click through this quickly.

I'll share it now. I'll share it. Let's start after setup and then input method, form-based UI. Let's do both. And then I'm gonna hit submit. All right,

so now that's working on that in the background. I'm gonna open up another folder and I'm going to start Claude code again within an entirely another window. So I'm gonna do documents, forward slash graphs. Let's go to

another window. So I'm gonna do documents, forward slash graphs. Let's go to agents and then demo. All right. So the next thing that I want to build as an example is I'm going to basically pull information. So I just I just did this actually so we could like talk

pull information. So I just I just did this actually so we could like talk through and about what this ends up looking like, but basically scraped all of the podcasts that were within the marketing category and then built a workflow that goes in cold emails them. And then an agent that responds back to book me on the

podcast. This ends up turning into way better performing than I expected. That's

podcast. This ends up turning into way better performing than I expected. That's

crazy. Sorry, what is Instantly? Yeah, so Instantly is a cold email software. And so

this is just a part of my stack. So it's one of the things that like is within that environment file that allows for me to build on top of.

And so what I'm like, how... how I can think about this, like on the, it's basically like my manual workflows that I would do previously. We're just like daisy chaining those together, like using this software. So I'm going to bring this into a new desktop and let's just rebuild that whole thing. I'm going to say, You have the Raphonic API key. I want you to build a software that scrapes podcast

host emails from Raphonic. It then sends it to MillionVerifier to verify the emails.

And then it also will then send it to an Instantly campaign. I'll provide the Instantly campaign that I want it to send to.

campaign. I'll provide the Instantly campaign that I want it to send to.

Alright, so I've got that now I'm gonna put that in the plan mode and let that run as well And then we have that as its own window and so while these two are working again in the background Well, we can then go and actually do like some other work. So let me get this going and I'll

just say cool, so that's a plan alright, so Now, this is my, we're in this folder. This is like my demo folder, which I just like, every time I give this presentation, I just nuke. This is kind of to show you like how to start it from zero to one. This folder that we're in now is my actual folder that I live out of. And I'm just gonna show you some

of the things that like are like capable with this. So for example, I have it attached to Notion and I've basically given it an example of like, how do we write a like a notion like giveaway, right? So I'm going to go and we're going to create one of these together right now because I need to actually accomplish this. So I'm going to take this URL and then copy this over.

accomplish this. So I'm going to take this URL and then copy this over.

And I'm going to say, okay, write a or create a notion document based on Look at you typing with your hands. I know the problem here, we can do it in the transcription. So create a notion document based off of our like current, our structure, look for the skill that has this. I'm gonna provide context on what

that should include. You should incorporate stuff that we have within the repo, like the documentation that I have in the repo on how to do this. All right, and so I'm gonna copy this over.

do this. All right, and so I'm gonna copy this over.

Let that run and now it's gonna go and create me a notion document just like the one that we have being sent in the background here currently All right.

Um, so in that folder, I've already created the Bulk ad generator So I'm just gonna go in there just to show you like what you can do with this once that it's it's like you've actually gone through this process of like zero to one making this so this is the bulk the creator as an example, so That's going to continue working on that bulk Facebook ad generator in the

background while that's happening. Let's go to graphs growth Agents and then I'm gonna start clog code within there and now I'm going to Start locally the bulk Facebook ad generator. I just want to bring that up within my Local so that I can create some ads So

again, it's already created the software for me. I'm now coming back to it and I'm gonna talk through the whole process of the actual creation of this, cause it'll just like make more sense momentarily. But the goal here is basically what we're trying to do is I'm trying to create as many different variations of these ads as possible. So how did I make this ad? This is entirely

code. And I think this is something to like double click on. Everything in here

code. And I think this is something to like double click on. Everything in here is just, it's just React components like that. This is just a React component and entirely built by code. And so I can make an infinite amount of these at scale. And I've done this already. So you can see this bulk forward slash or

scale. And I've done this already. So you can see this bulk forward slash or forward slash bulk forward slash HTML. So we're going to go through this together though.

How do we actually like do this process? So I would go and I would give it an example and we'll do this over here while this one is like working on it. We'll come back to that. But I would give it an example of what like ad I'm trying to build. A way to do this is if you don't know where to start, go to Facebook ads library and you can see

what your competitors or other software companies are doing in your category. This is

actually how I made this initial one was I found like this before and after format. And then I basically had it build off of that before and after. But

format. And then I basically had it build off of that before and after. But

this whole thing like Everything you see here is just code. It's

entirely code. The other way you can do this is with something like Nano Banana, where you're like going and bulk generating these, right? But once I found and I built that template, I can now make all those variations. So let's go back to Cloud Code and let's say, OK, I want you to use the Facebook ads

API and I want you to go and scrape the pain points that you see.

Sorry, actually, let's restart that. I want you to use the perplexity API and go and scrape Reddit for the pain points and the outcomes that growth marketers wish they could have from like something like a Looker Studio or any of these other business intelligence softwares that they're using. We've been focusing on like

the data analyst component of it, of how they can't get bandwidth or it's too complicated to get started or they can't unify their data all into one location. You

can also source from YouTube. You can also source from Twitter if necessary. So I'm

going to have it go do research and those pain points. For the ad, sorry, for the ad itself, wouldn't we want to use Nana Banana Pro, like the best image model that exists? Like why are we using code when, you know? when we

could. Yeah, I'm just doing this purely like this was just a way I thought about doing it. Like absolutely the banana banana thing. The only thing I've found with like nano banana is that I sometimes have trouble like getting it to stay on brand. And if I'm trying to just like figure out the messaging variations that I'm trying to go after, this can be a faster way to do that.

Again, there's like a million different ways to do this exact same thing. I think

if you're going to use Nano Banana, you should look at something like, I think it's like Kai AI, I believe. Nano Banana.

Or yeah, Kai.ai. And you can just like, basically it's one of these bulk buys, but we've been using that for these bulk generations. This that I'm doing costs me nothing. Like it's literally, you know, maybe a thousand tokens to do

me nothing. Like it's literally, you know, maybe a thousand tokens to do all of these, like these generations. And so this, that's a reason for it. So

it's like, I can go, we could go and create a thousand ad variations right now, G and like, this literally costs nothing.

But again, that's, that's a part of it too, right? Is like, your goal is going to be come up with the best ad creative. That's going to actually, you know, you put in a dollar, you get $3 out. Once you get that, you can make it well there's there's two schools of thought one school of thought is you need the best creative so you need to send it to Nana Banana Pro

to get scroll stopping creative another school of thought is like well you actually have some pretty quote unquote ugly ads that just speak to the pain points that you can kind of get a good understanding of this is going to bring you $1.50 uh when you put in a dollar and then you can get it from $1.50 to $3 once you figure out the ad. So you're kind of saying maybe it's

best to like get as many ads as possible, start using those, figure out the one or two or three creative that actually crushes and then go ahead and go crazy with spending tokens. Totally. I guess a different, like I'm just trying to find like the format or the angle that's going

to be most receptive I'm going to remix that a thousand times after it.

This is like the big piece of this, especially with like how much we can do on the, like anybody can go and generate as many of these as they want, right? Like it's

literally infinite, but identifying those winners like you're talking about now becomes the challenge that you're going to face with all of this. And like, we're gonna get to that in a second, but the main thing I wanna emphasize with it is like, this is malleable and flexible and the pace, like just think about you manually having to go create 50 ad variations in Figma. And like, you can just now make those

and get those live and test those. And as soon as I find a winning like, format from a language that's being said perspective, I can then go and remix that into all these other different templates. I

can go and find like what are different winning ad formats that I can now port this to. But this is a way to just like start immediately. and then

get that basically out in public. I also think that like the same ideas can go into different formats. Like we're all, you know, already seeing this where it's like, cool, I made, you know, a static format. I'm now gonna port that over to a UGC format. And I'm sending that to the HeyGen API to pull in that, you know, like to make that creative, like pull in, pull it in as a

video and then bulk upload that to Facebook, if that makes sense. So I like, where I'm going with this or where I'm seeing this head personally is like, I'm going to build these tools that an agent is going to have. And then it's going to be able to run this process in the background where it's basically has the ability to make new creative. It can publish that creative directly to Facebook, which

I'm going to show you in a second. It's going to then analyze what is working. And then it's going to like, basically turn off what isn't and promote what

working. And then it's going to like, basically turn off what isn't and promote what is right and this is like everything i'm going to show you today is that like a small scale like this is literally like weeks of realization that's starting to happen like with this but i just again i want to plant the seed of like what is possible using this tooling to like do your again that middle work

that historically like you wouldn't be able to to do so yeah is there questions about that i can try to answer no let's let's keep cooking Awesome. All right.

So this keeps trying to scrape things. I'm just going to be like, instead, I want you to just brainstorm pain points that people have with data reporting, specifically the unification of the data into multiple locations. Cool. So we're going to do that.

Once I have all those variations, I can then say, OK, now go bulk generate every one of those. And then at that point, I can download these as a CSV. And what I will do is just wait for

CSV. And what I will do is just wait for that while that's happening. We'll just get this to start downloading. And that Facebook ads API is going to allow for us to bulk upload all of those pieces of creative that we just downloaded. So here's all those variations. I'm going to say now,

okay, now use the bulk or let's do the transcription. Okay, now use the bulk Facebook ads generator to go and create these variations. Put them in the forward slash bulk.html page when you're done with this. So this is now happening. I'm gonna go back over to see what the other things are going

now happening. I'm gonna go back over to see what the other things are going off of. All right, so let's see this notion document based off of the current.

off of. All right, so let's see this notion document based off of the current.

We'll continue to let that happen. I wanna build this up.

Perfect, we're gonna let that go as well. So I'm looking at the scaffolding to build a bulk ad generator. And we'll check in on this one to see where it's like basically at in its process of responding. And it might've completed and it did complete. So that's done. It ran for 15 minutes on its own in the

did complete. So that's done. It ran for 15 minutes on its own in the background. And these are coming back. So while these are all happening and I'm waiting

background. And these are coming back. So while these are all happening and I'm waiting on them or they're waiting on me, I can then open up another one of these. I'll just click through this to just kind of get it moving. But I

these. I'll just click through this to just kind of get it moving. But I

would then open up another one of these tabs and I would start on the next project. So the next thing that I want to do is I want to

next project. So the next thing that I want to do is I want to build a LinkedIn engagement scraper. So I'm going so basically at people that engage on the LinkedIn profile or the LinkedIn posts, I want to pull them out and then send them to a basically add them into instantly.

So we're going to go we're going to find their LinkedIn profile using Phantom Buster.

We're then going to do that whole flow. So I'll do that in a second let me just get this up give that its own section by the end of this podcast you have like a hundred this is literally how i'm working now this is like i'm just jockeying agents across and then if i can automate them and get them to do like like if i can figure out okay this is

this specific lane that you can focus on Then I'm spinning that up onto a server on Railway. And I'll talk about that in a second on like how you can on demand create databases and on demand create the servers so that this software starts running in perpetuity. So we're going to do this demo one. All right. So

I want to make a workflow where it's basically within Slack, you'll do forward slash LinkedIn post. And anybody in Slack will be able to just drop in a LinkedIn

LinkedIn post. And anybody in Slack will be able to just drop in a LinkedIn post that they think is a good fit. And then that's going to go and it's going to use the Phantom Buster API to extract all of the engagers. And

then it's going to take those LinkedIn profiles. We're going to go and enrich those with the Apollo API. And then from there, we're going to send it to the million verifier API. And then finally, we're going to add them to an instantly campaign. Ask me questions if you need. All right, so I'm going to turn on

campaign. Ask me questions if you need. All right, so I'm going to turn on plan mode for that. Let that start running in the background as well. We'll come

back to these. Let them continue to cook. Publish the landing page. Let me get context on what this one is again. This is the craziest part when you're going from screen to screen and realizing that you're an agent jockey and that you're trying to get context on each one. You're like, okay, what was

this one doing again? And I find that the context switching is actually difficult. I

did as well, but now it's like, now it feels like that has expanded. Like,

and again, this is just how I've been working for the last like six weeks.

And it was like, maybe I could have like, two or three of them in the beginning. And now it's like, I'm comfortable with like, we could have 15 windows

the beginning. And now it's like, I'm comfortable with like, we could have 15 windows open. I'm about to literally go buy a new computer. Cause I'm like, I need

open. I'm about to literally go buy a new computer. Cause I'm like, I need more RAM. I need more like ability to do this in the background,

more RAM. I need more like ability to do this in the background, which just sounds so stupid. Totally. Yeah. Like and comment this video so that, you know, I could send some YouTube AdSense revenue to Cody so we can get some more RAM. It's all ridiculous. This guy needs some RAM. No, man.

It's like I'm just realizing like what this turns into. So, okay, we made all those pieces of ad creative, right? Got those variations and it's just text variations.

All right. So now I'm going to go back to Claude and I'm going to be like, I want... Now I want to bulk upload all of these ads as drafts into a Facebook ad set. Here's where the folder is locally for the creative and I'm going to provide the Facebook ad

set URL to you in a second. All right, so I'm now going to go back to Finder and I'm going to copy this, paste that in. And then let's go back to Facebook.

And I have this ad set that I've already created for this demo. It's basically

just here. And I'm just gonna paste in this URL. And so

now here's that URL. It's gonna basically bulk upload all of those pieces of creative into that ad set. So while that's happening, I'm now gonna go and I'm gonna create a dashboard about this. So let's

just pull out the ad set ID. Let's do the ad set ID. And I'm

gonna go over to graph and I'm gonna be, pull up Facebook ads as the data source. And then I'm gonna be say, this is the ad set ID.

data source. And then I'm gonna be say, this is the ad set ID.

Make a dashboard showing clicks over time. Also have a scorecard that, or sorry, I didn't do the transcription. Make a dashboard showing clicks over time as a line chart. Also within that line chart, can you include the cost and the

line chart. Also within that line chart, can you include the cost and the CPC as lines as well? And then add a scorecard also that has total spend, total traffic, or total clicks as another scorecard. So those are two separate ones.

And then I want you to also show demographic data as a bar chart of showing the ages. So that's its own separate chart. That's a bar chart basically showing the impressions by the age categories. So I'm going to let that run in the background. We'll come back to that in a second. But now that I have this

background. We'll come back to that in a second. But now that I have this campaign that's running and I'm trying to track what's happening within it, I can basically go and like build out a tracking dashboard for this. The other

thing that I can do, so once it's got the ad set with destination URL, would you like just put them as a draft? So

while that's working, I can also analyze what is happening in that specific ad campaign. And I can turn off the losers of that ad campaign. So I'm gonna

campaign. And I can turn off the losers of that ad campaign. So I'm gonna show you how to do that. So I do documents forward slash graft, forward slash growth agents, and then Claude. And then I'm gonna get that URL again. And I'm gonna say, use the graft

URL again. And I'm gonna say, use the graft MCP to pull in the data for this ad set that I'm about to provide from Facebook ads. I wanna look at the CPM data. to see which ones are the lowest performing, like the highest CPM price. All right.

And then let's provide the ad set URL again. Let's go ad set. And then while that's happening, we can come in and check on the other

set. And then while that's happening, we can come in and check on the other ones. All right. So it's now built that entire bulk Facebook ad generator.

ones. All right. So it's now built that entire bulk Facebook ad generator.

Or sorry, which one is this? This is the... Look one, okay, so it's made the updates to these ads. These are an entirely new ad set that it's basically pulling in. So I already did this, right, of like downloading these as a zip and bulk uploading them. So we won't go through that

process again, but this is how easy it is to basically make those variations.

And not just variations. These are variations based on pain points that people have said publicly. Yes, exactly. So it has pulled in basically the

publicly. Yes, exactly. So it has pulled in basically the social dialogue that's happened. So the best ads that I'm seeing perform right now are basically you're selling outcomes or you're talking to the pain points. Right. So I'm

just guiding it to focus on those things, pull me that information and then build the ad sets around those. So. Well, that just happens. This in the background just used the graphed MCP to pull in all of the low performers. So these are the, let's look at the ones that have the highest CPM. So these all have

high CPM. So I'm just gonna tell it, turn these off. I'm gonna say, use

high CPM. So I'm just gonna tell it, turn these off. I'm gonna say, use the Facebook ads API to turn off these ads with this ad name.

And so now it's just pulled in this live data from my data warehouse. And

this isn't an MCP that's interacting with the Facebook ads API. I just want to like emphasize this. So it's not have, you're not running in the rate limits. Like

again, you go and publish like a thousand ads and are running those variations. There

is literally no way, like if you're spending enough, like there is literally no way that you're going to be able to analyze this data without a data pipeline and a data warehouse. And so this is like what we've built right at Graft. So

anyways, just to get back to the MCP thing, there's like this page nation problem. So like we see this all the time where people are like, yeah, I plugged in a Facebook ads, MCP, I'm interacting with it.

And then I realized that I'm only seeing like 5% of the data that I think I'm actually seeing. Right. But so coming back to this, I've now said, Hey, turn these off. So it went and it paused those ads for me. And so it's just, just to walk through what we just did, just

for me. And so it's just, just to walk through what we just did, just kind of reiterate this. We just did ideation. We just did bulk ad creation.

We just analyzed the data for the performers. We just turned those off and on based on that. And at this point, you're probably starting to have the epiphany like, oh, I can just turn this into a repeatable process. And this is where I see all of this going basically is you're going to be going to have these

agents that are running on top of your live data They're analyzing it, making decisions based off of like the model. So like, for example, how I would run this is I would have a test campaign where I'm basically testing new creative constantly. I would have a cron job that's on a daily basis, basically going and

constantly. I would have a cron job that's on a daily basis, basically going and turning off the low performers. And then the high performers, they get bumped up into their own ad sets with their own dedicated ad budget for a CPA action. And

then that whole thing could just run automatically in the background. And then to track that, I'd build out a dashboard that basically is showing me that information so I can come back to that later on and see what's occurring there. And then the other thing that I would then go do is potentially have a conversation

in the morning, say for example, so I've got the graphed MCP in my cloud chat. So this is also technically on my phone. So like in the morning, I'll

chat. So this is also technically on my phone. So like in the morning, I'll wake up and be like, how much traffic, let's just do this, how much traffic went to the, or how many new users went to the homepage of the website yesterday? And I'll just say, use the graphed

yesterday? And I'll just say, use the graphed MCP and Google Analytics 4. And we'll let that run. And so

I can basically get a brief each morning, whatever those KPI metrics are that I care about and have a conversation like with my data that's live and being seen continuously within the background. And you can give this to your whole team as well so that everybody on your team also has access to this, both from within Cloud Code, within their, like, whatever their harnesses that they use, whether that's chat, TBT, or

Cloud, and then also the ability to, like, do that tracking within, like, dashboardings or conversations. Now, coming back to all of this, right, we've just built out, basically, this

conversations. Now, coming back to all of this, right, we've just built out, basically, this whole, like, cycle of funnel. How would I now go deploy this? So this is where it gets, like, the most interesting. So what I'm doing right now, say I wanted to turn this into an agent. I'm using Railway for this. And the only reason is just because I saw a tutorial and that's how I've figured out how

to do this. So Railway has a really robust API key. And say I wanted to spin up, for example, this bulk ad generator so that my other team members could use this. Right. They could come back and basically like use this software that I've created. I can just tell Railway via cloud code, hey, spin this up into

I've created. I can just tell Railway via cloud code, hey, spin this up into a like a server that I can access or I can just deploy this directly to Vercel or any of these workflows that I have. So

say, for example, we were talking about that LinkedIn funnel. Let's go see which one of this it is. All right. So this is the podcast software.

This is the image generator. This is the LinkedIn. So say

I want this to be accessible in perpetuity in the background. I can then take the software that I co-work on with Claude and I say, OK, deploy this to a server on Railway so that my whole team can basically use this action or always be adding information. like whenever they come across a LinkedIn post, as an example, they could be adding that into the queue so that it just automatically goes into

the email, like filtering, or sorry, the email, like cold email process.

And this even goes further. So like how I'm starting to use this, Gene, I'm curious, like to get your thoughts on this. So basically like I had to do some data analysis work the other day. Historically, I would have like downloaded the information, put it into Excel, and then I do a bunch of pivot tables. Now instead,

what I did was I went directly to the URL. I had to push it into a Postgres database that I on the fly created using the Railway API. It

just pumped everything in there. I then did the analysis together with Claude. And then

at that point, I basically pushed from that Postgres database the outputs to the location that I wanted. It would have taken me probably five hours historically to like clean the data appropriately. And I smashed that out in like probably 20 to 30 minutes. And then as soon as I got done with

that database, I just spun it down. And this was the most like interesting part of this was that like it was basically like on the fly UI, on the fly or the epiphany I had was like on the fly UIs, on the fly databases, like on the fly software is going to become the standard for these people that are like, you know, working at the forefront of this. So, yeah,

man, I, we could probably, you know, sit here and watch me work for hours if you wanted, but that's kind of everything I had that I wanted to show you today. The only other thing I'm, just like keep getting asked, like, how do

you today. The only other thing I'm, just like keep getting asked, like, how do I do this? How to like, show me more technical details. Um, uh, I bought the, uh, domain GTM engineering course.com. I'm going to give this thing away for free to everybody who wants it. Um, it'll be entirely public. Um, I've already got a wait list of a hundred. Um, but basically I'm just in the process of building

this out with like step-by-step and it's everything that I do. I'm just going to document it into one place. But anyways, uh, just throwing that out there as a last thing, but any, uh, I'd be curious. I'm like, okay, you see, you just watch this and you're in like a role at some company. Like how do you, how do you defend against this? Like with your job or do you, is it

just like you need to learn this now? And like, I'm, I want to hear your thoughts because I'm, you're seeing way more than I am with everything. I'll tell

you my, I'll answer your question, but I want to start by saying like my biggest takeaway from all of this. Yeah. So my biggest takeaway of all this is when you connected it with Railway and it's a glimpse into the future of autonomous marketing. So marketing, you

know, basically what you've done, like all those sort of jobs to be done were jobs to be done that were literally done by human beings, right?

And then you kind of stitch it together. You know, if you've ever run ad campaigns before, you know how painful some of these things are. Just uploading the ads alone. I was just like that. I was like, I have literally spent like, I

alone. I was just like that. I was like, I have literally spent like, I mean, I'm just imagining uploading a thousand ad variations. Like dude,

like it just don't give me PTSD on the pod. I did this early in my career was absolutely painful. It was painful, right? It was painful and, and it's not fun. It's not fun at all. Uh, Removing and figuring out low performers,

not fun. It's not fun at all. Uh, Removing and figuring out low performers, add a creative, not fun, not fun. And you need to be on it. So

the idea that you can make this an agent that's working 24 seven and that's managing all these different things is the dream. It is absolutely the dream, autonomous marketing, the dream. I think who are the winners and who are the losers of this? The winners are gonna be, one

person businesses, small teams. And then maybe you're head of marketing that currently you're getting paid $100,000 a year. Now all of a sudden, if you can figure out how to do

a year. Now all of a sudden, if you can figure out how to do all these things, and this is where I'm answering your question, if you can figure out how to do all these things, you could make the case like, hey, triple my salary. Easily. Right? Like from a value perspective, like if you can do all

my salary. Easily. Right? Like from a value perspective, like if you can do all these jobs to be done, you're one person instead of 10, there is a case to be made that you've made, you know, you've added a tremendous amount of value to your role. So I think, and then the unfortunate thing is I think a lot of these jobs to be done, and this is where I disagree with a

lot of people is I think that there is going to be a lot of job loss, real job loss. Like it just, I think it's going to be extremely rapid job loss. And then like, I'm just thinking about like the early days of like what we saw, you know, in the industrial revolution and like the United Kingdom, like they, I mean, you basically have this

displacement and then new roles get created, but like in that interim, still a lot of turmoil. It's going to be chaos. It's going to be chaos. And I, like,

of turmoil. It's going to be chaos. It's going to be chaos. And I, like, I have a friend who runs a startup and he texted me yesterday and he's like, I think I'm going to fire 50 people. And that's like 70% of his team. Right. And I'm just over here and I'm like, how, why, what, you know,

team. Right. And I'm just over here and I'm like, how, why, what, you know, tell me the reason. He's like, I think I can automate all of their jobs right now with like agent swarms. And I'm like, okay, what's an agent swarm? You

know, cause that's just this like throw up like term that gets thrown around right now. And he's like, oh, it's just an agent that does like a specific thing.

now. And he's like, oh, it's just an agent that does like a specific thing.

And then there's an agent that manages like that whole system. And then like, imagine like five pillars under like another agent. And I'm like, oh, I've built that. That's

what an agent swarm is. And I think that this is the thing that like people aren't realizing because now it just runs in the background. So like I have one that's just like crawling LinkedIn, like as we speak and it's like looking for like ICP and then it enriches them. It writes a personalized email and a cold emails. Yeah. And like, I don't think people

emails. Yeah. And like, I don't think people understand like what's about to happen and like the next 12 months. So, and I'm excited about it. Cause I think there's like, again, if you can build, like it is incredible. Like you're so capable right now, especially if you have domain knowledge is

is incredible. Like you're so capable right now, especially if you have domain knowledge is the other thing that I'm finding is like, Just because you can, like it can be built, doesn't mean that you can build it because you don't have the vocabulary.

Like when I look at like my co-founder Max, right? And his technical vocabulary, how he can describe the problem to a coding agent is so much more sophisticated than I'll ever be able to do it. And so the output quality that he can get from this is at a level that's in the top 10, top 1%. So

if we translate that to something else, like say you studied graphic design for 20 years and you've been working in the industry for 20 years, the vocabulary you have to describe something is gonna be so much more sophisticated than what I have. So

I'm like, this happened the other day where I'm like, I wanted to put texture on the back of an ad. And I was like, how the fuck do I do that in the background? I kept trying to describe it, it came out terrible.

And then I found this person giving a description of like, how do you make it have a TV type texture? And it was like all of these specific, like it was like a specific lexicon to describe the quality. literally one shots it, you know, immediately like what I was looking for after that. And you have that realization that this actually becomes like the superpower. If you can incorporate these tools into what

you're doing for work and have that domain expertise, that knowledge that's like on top of that, that actually is what makes you like incredible. And so it's the same thing that we've always seen where it's like, oh, you have one or two skills with like a deep tea. And then you like, that's what makes you valuable. This

is like that, but like, you know, times a thousand where it's like, if you have the vocabulary, you know, and six things. And you come to this tooling and can basically express and explain like what you're needing or what you're looking for. It changes the entire system in my mind. But I, again, I'd love to

for. It changes the entire system in my mind. But I, again, I'd love to hear your thoughts on like where you like, and also just like what you're seeing within your own companies that you own and all like, you know, within the market as well. Well, I think the reality is there's a lot of people, even if

as well. Well, I think the reality is there's a lot of people, even if they have a ton of domain expertise, They don't know the tools and how to use the tools optimally yet. Now I think that the tools are going to get so good that the UX is going to be so easy at some point. But

for right now, for example, if we counted off all the tools that you mentioned in this podcast, you probably mentioned 17, no more, 20 tools. I'll include some of those in the show notes. Yeah, I'll give you a

tools. I'll include some of those in the show notes. Yeah, I'll give you a list of them so that you can pass them on. phantom blaster instantly. I'm not

even talking about cloud code and stuff like that. You've done your research, you've found the tools and I think that's why a lot of people listen to this podcast.

It's a way for them to learn a lot of that stuff. But the point is, I have a lot of respect for the people that understand they have domain knowledge, know that that domain knowledge is super valuable and who are going out there and trying things. But yeah, this... The other

takeaway I have from this podcast is your insight around APIs, which I thought was really interesting. In the old way of SaaS tools and stuff like that, an API was a nice to have. It was

about how good is the software that you're using? How good is the UX? How

good is the brand? How good is when you press this feature? How quick is it? How instant is it? But now when you're living in a terminal, for example,

it? How instant is it? But now when you're living in a terminal, for example, and you're using MCPs to talk to LLMs, the nice to have is actually the UI. The nice to have is the SaaS.

The nice to have is going to this website and look pretty. Ultimately, what you care about is the output and the thing is running, the agents are running 24-7.

They aren't hogging tokens. The output is high quality. It's doing the thing that it's says that it should do. And I think Sam Altman said recently something about APIs. I think he said that every company is going to be an API company.

APIs. I think he said that every company is going to be an API company.

Totally. I align with this. Like now doing this, like there's a software, like I just won't put them on blast because I know how big your audience is. like

there's a thing you can do in their UI I can't do in their API.

And I'm literally about to churn because I'm just like, this is critical for me.

And now it feels archaic for me to go and interact with your fucking UI to do this output that I need. And I think that this is going to be, like, I think there's going to be companies that are entirely just like, I mean, we literally had this conversation internally, like, do we build a UI? Is that

even a thing that we do? Or do we just build the tooling that enables you to see like where we see the puck going? And I think that like, you know, we had to come, you know, have a come to Jesus moment of like, oh, this is like where we know the puck is going is entirely different than like where the normie like is right now and like the adoption cycle of

this. And so like having to like meet there to ride this. But like, I

this. And so like having to like meet there to ride this. But like, I mean, it's very clear, right? Like, for example, like with the graph MCP, that's a live data feed. So I may like when I'm like, show me my Google ads and Facebook ads paid ad spend, right? That's a live data feed that's happening underneath the hood. It's like an endpoint that I'm hitting. It's literally on the fly generating

the hood. It's like an endpoint that I'm hitting. It's literally on the fly generating a live data endpoint that I can pull from my data warehouse from. So with

that, I can basically build whatever I want on top of that. And I'm like, okay, well, let's just go build a custom dashboard like for what we need. But

what we're finding is that like, there's like kind of different use cases, like the, I guess what I'm trying to say is like, you're basically making your agent so that, or whatever it is your tooling is so that it fits into any harness.

So whether you're working from cloud iOS or chat GPT desktop or cloud code on, you know, in your terminal or like cursor or, you know, even the UI it's unified across that. And people can basically take that wherever they want and get the same outputs. And so from a product standpoint, this is how we're like, you know,

same outputs. And so from a product standpoint, this is how we're like, you know, focused on it and kind of moving forward. And I think it, Again, what it comes down to, though, is like everything that like we're talking about this tooling piece, like unless you know what to do, it's very hard to get it to like if I if I didn't know these exact tool sets to use to like go

and do these actions like here's how to do this LinkedIn thing as an example.

there would be like a very low chance that it would be able to figure this out. It's totally possible. It can, it's just like going to take longer. And

this out. It's totally possible. It can, it's just like going to take longer. And

then you can do this now with like Claude and with perplexity where you're like, I'm trying to do X lists, five APIs that can help me do that. But

I think this is how people are going to start building this. And like, I'm finding myself doing this where I'm like, I have this like vision of a workflow and I'm starting with the final product. And then I'm like working back and like, you know, basically piecing together, how does this work? And then having the agent, go and build that for me. And so then this comes back to like, how do

agents discover the necessary infrastructure for, and like, how do you be the thing that it picks when it's going to build, you know, X, Y, Z thing. And like,

again, these are the things I'm losing sleep over now as we're like getting deeper and deeper into this. Well, Cody, I appreciate you being so saucy with sharing all this stuff with us. We do appreciate it. I need, you know, it's been too long. It's been too long. You need to come back on again. And, and share

long. It's been too long. You need to come back on again. And, and share some ideas and stuff like that. So I would love to have you. Have a

ton of them, man. You can go for days about Chrome extensions right now. You

can literally have Cloud Code one shot them and just turn on Facebook ads in the background automatically. I also had an agent that was running an Etsy shop for a little bit. That was crazy. It just got banned two days ago, which was hilarious. So people, please, you know, let's beg Cody to come back on the pod

hilarious. So people, please, you know, let's beg Cody to come back on the pod and have him on soon. This is an open invite, Cody. You can come on whenever you'd like, share ideas. You definitely get my Creative Juices phone, so I appreciate you so much. Appreciate it, G. Thanks for your time as always, man. I always

love coming on. Thank you.