How can you use AI agents, MCPs, and a

bunch of different tools to make money

on the internet? Today, we walk [music]

through it all. Yes, you can vibe code

anything and 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 Claude 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.

>> [music]

>> 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

piece tools and pieces of software we're

going to use? Like

Yeah, absolutely. We're going to touch

Phantom Buster. We're going to use

Instantly AI. We're going to use

Verifonic. 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 this agent

harness Claude code. All right, and

we're going to live build it and

everyone, well, you're going to watch

you're going to watch the whole thing.

So, let's get into it.

Cool. Sweet, man. So, just to begin

with, do you do you know like GTM

engineering or like what it even means

or like where it comes from?

No, honestly, I don't. That's what I'm

here

>> like a buzz It's just a buzzword, right?

So, this is 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 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 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 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

100 Facebook Ads, publish them to

Facebook.

Build [laughter] a dashboard to track

that, analyze the data within Claude

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.

>> [laughter]

>> And so, I'm Anyways, again, not really

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 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 my, you know, tasks,

etc. 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? Happy

to go deeper on anything.

>> No. Um 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? Cuz that's

going to be an unfair advantage.

So, yeah, let's let's go 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 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 Grasp Graph 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,

Inst Million Verifier, 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. Um

And so, what what this translates into

or like why I'm I'm 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 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. And when I

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 Claude code like throughout the

rest of the session to basically be

building out this personal software and

be building out

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 get

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 it,

you know, if we're going to generate a

UI, it's nice to have it look pretty.

So, All right. That is kind of the

foundational pieces. Now, let's actually

like, great, that's cool. You've just

built this. What do you actually do to

go I get started on this? So, the first

thing that I'm going to do to get

started is I'm going to go and I'm going

to have 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 you know,

Notion document. I'm now going to go in

and I'm going to 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 this that

directory, right? 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 going to

say this right now. I'm going to say,

let's run we're going to transcribe it.

So, let's run the LinkedIn respond

software.

Keyword that you're looking for is

triage. I'm going to 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 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 this up. I'm going to

baby sit it for a moment while it 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 going to 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 going

to 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.

Perfect. 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 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

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

you're 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 going to 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 I

made that that skill. So, I'm going to

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 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 both titles and

paragraphs that we 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.

For the first thing I just wanted to be

able to see is like what the actual

creative look like. For this you're

going to use

just react components.

So, I don't want you like just purely

build it with react components and then

also to actually change this react

components into a PNG that's

downloadable, we're going to use HTML to

canvas. It's just a

you know 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 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

I'll share it after setup. And then

input method form based UI, let's do

both and then I'm going to hit submit.

All right. So, now that's working on

that in the background. I'm going to

open up another folder and I'm going to

start Claude code again within an

entirely another another window. So, I'm

going to do documents for 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 I just did this actually so

we could like talk through

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 and

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. This is what

my week That's crazy. So, 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

is basically like my manual workflows

that I would do previously were 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 um

you have the Refonic API key. I want you

to build a software that scrapes podcast

host emails from Refonic. It then sends

it to Million Verifier 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.

All right. So, I've got that now.

I'm going to 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 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 in plan. All right. 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 going to 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 a

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 give take this

URL

and then copy this over

and I'm going to say, okay. Um

write a or create a Notion document

uh

based off

>> Look at you typing with your hands.

>> The problem here we can do it in the the

transcription of. So, create a Notion

document based off of

our like current you know our

structure. Look for the skill that has

this. I'm going to provide context on

what that should include. You should

incorporate stuff that we have we

haven't within the repo like the

documentation that I have in the repo on

how to do this.

All right. And so, I'm going to copy

this over

and let that run and now it's going to

go and create me a Notion document just

like the one that we have being sent in

the background here currently.

All right.

So, in that folder I've already created

the bulk ad generator. So, I'm just

going to 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 going to start

Claude 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 going to talk through the

whole process of the actual creation of

this cuz 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. Um everything in

here is just it's just react components

like that. This is 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 for slash or for

slash bulk for slash HTML. So, we're

going to go through this together

though. How do we actually like do this

process? So, I 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 like 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 this whole thing

like everything you see here

is just code. [laughter]

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 Claude

code and let's say

okay, I want you to use the Facebook ads

API and I want you to go and scrape the

pain points that you see or 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

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 Nano 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 Nano Banana

thing. The the only thing I 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 yeah, if you're going to use the

mana Nano Banana, you should look at

something like um

I think it's like Kai AI, I believe.

Uh, Nano Banana.

Erk, yeah.

Kai dot AI. Um, and you can just like

basically it's one of these bulk buys.

Um, but we've been using that for these

bulk generations.

This that I'm doing cost me nothing.

Like it's literally on 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 can go and create a

thousand ad variations right now, G. And

like this literally costs nothing.

>> [laughter]

>> Um

>> Yeah.

But again, we

>> 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 three dollars out. Once you get

that

uh 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 Nano Banana

Pro to get scroll stopping creative.

Another school of of thought is like,

well, you actually have some pretty

{quote} ugly ads that just speak to the

IC the pain points that you can kind of

get a good understanding of this is

going to bring you a dollar 50

uh when you put in a dollar. And then

you can get it from a dollar 50 to three

dollars 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 the those, figure out the

one or two or three creative that

actually crushes and then go ahead and

go crazy with

spending tokens. Totally. Like this I

guess a different like I'm just trying

to find like the the format or the angle

that's going to be most receptive. I'm

going to remix that a thousand times,

you know, after it. Um,

the this is like the big piece of this,

especially with like how much we can do

um on the uh

like

the the 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 going to get to that in a second,

but the

the main thing I want to emphasize with

it is like this is malleable and

flexible and the spit the pace like just

think about you manually having to go

create 50 ad variations in Figma. And

like

>> [laughter]

>> 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

uh

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 the in in 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 going to

port that over to a UGC format and I'm

sending that to the HeyGen API to pull

in that uh

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 to directly to Facebook, which

I'm going to show you in a second. Um,

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 is, right? And this is like

everything I'm going to show you today

is at 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, it

Does Does there questions about that I

can try to answer? No. Let's

Let's keep cooking. Awesome. All right,

so this keeps like trying to scrape

things. I'm just going to be like um

Instead I want you to just brainstorm uh

pain points that people have uh with

data reporting, specifically uh the

unification of the data into multiple

locations.

Cool. So we're going to do that. Um

Once I have all those variations, I can

then say, "Okay, 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 that to

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 uh use the bulk or let's do the

transcription."

Okay, now use the bulk uh Facebook Ads

Generator to go and create these

variations. Um,

put them in the forward slash bulk dot

HTML page when you're done with this.

So this is now happening. I'm going to

go back over to see what the other

things are going off of. All right, so

let's see this notion document based off

the current. We'll continue to let that

happen.

Um, I want to build this up.

Perfect. We're going to let that go as

well.

So I'm looking at the scaffolding to

build the 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 have completed.

And it did complete. So that's done. It

ran for 15 minutes on its own in the

background.

These are coming back. Um, 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 uh to just kind of get it moving.

Um, 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 build a LinkedIn

um engagement scraper. Um, so I'm going

So basically uh people that engage on

the LinkedIn pro or the LinkedIn post, I

want to pull them out and then send them

to a um

uh basically add them into Instantly. So

we're going to go we're going to find

their LinkedIn profile using

PhantomBuster. We're then going to uh

you know, do that whole flow. So I'll

I'll do that in a second. Let me just

get this up.

We'll give that its own section.

By the end of this podcast, you're going

to have like

a hundred desktops.

>> This is literally how I'm working now.

>> [laughter]

>> 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 the 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

these servers so that this software

starts running in perpetuity. So

we're going to do this one.

All right, so I want to make a workflow

where it's a

I basically within Slack you'll do

forward slash 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 PhantomBuster 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 MillionVerifier API. And then

finally we're going to add them to an

Instantly

uh 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 like uh screen to

screen and realizing that you're an

agent jockey. Yep. And then 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 I I did as well, but now it's like now

it feels like I 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 50

windows open. I'm about to literally go

buy a new computer cuz I'm like I need

more RAM. I need more

>> [laughter]

>> like ability to do this in the

background.

I'm just It sounds so stupid. Totally.

Yeah.

Like Like and comment this video so

that, you know, I could send some

YouTube AdSense revenue to Cody so

>> [laughter]

>> he can get some more RAM. Uh it's all

ridiculous. This guy needs some RAM. No,

man. We I it's like I I'm just realizing

like what this turns into. So okay, we

built we made all those pieces of ad

creative, right? We've 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

uh

Now I want to buckle a bulk upload all

of these ads as drafts into um a

Facebook ad set.

Um, here is the Here's where the um

folder is locally for the

um creative and I'm going to provide the

Facebook ads uh 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 going to paste in this URL.

And so now

here's that URL.

It's going to

basically

bulk upload all of those pieces of

creative into that ad set. So while

that's happening, I'm now going to go

and I'm going to 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 going to

go over to Graft and I'm going to be

pull up Facebook ads as the data source.

And then I'm going to be say uh

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 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'm

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

which 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 going to show you how

to do that. So I do documents forward

slash Graft

forward slash

growth agents

and then Claude

and then I'm going to get that URL again

and I'm going to say uh

use the Graft MCP to pull in the data

for this ad set that I'm about to

provide from Facebook ads.

I want to 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 ones.

All right, so it's now built that entire

bulk Facebook ad generator

or sorry, which one is this is the

look one. Okay, so it's made the updates

to these ads. So 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.

So

>> Not 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 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 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.

Well, that just happened. This in the

background just used the Graft 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 going to tell

it turn these off.

I'm going to say uh

use the Facebook ads API to turn off

these ads with the 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 into rate limits.

Like again, you can publish [laughter]

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

the

just to get back to the MCP thing,

there's like this pagination 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 realize that I'm only seeing

like 5% of the data that I think I'm

actually seeing, right?

Um

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 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 in a into a

repeatable process.

And this is where I see all of this

going basically is you're going to 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 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 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 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,

you know, that information so I can come

back to that like later on and see

what's going occurring there.

And then the other thing that I would

then go do is

like potentially have a conversation in

the morning. Say for example, so I've

got the Graft MCP

in my Claude I

like 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

or how many new users went to the

homepage of the website yesterday?

I'll just say use

the Graft 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 Claude code,

within their [laughter] like whatever

their harnesses that they use whether

that's chat GPT or Claude. And then also

the ability to like do that tracking

within like dashboarding or

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 only

reason is just because I saw a tutorial

and that's how I've like 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 Claude code, hey, spin this up into

a

like

a 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 wanted 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, okay, deploy this to a server

on Railway so that my whole team can

basically use this action. Always be

adding

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. Sorry, the email like

cold email process.

And this even goes further. So like how

I'm starting to use this G, and I'm

curious like to

>> [laughter]

>> 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 I went to

directly to the URL. I had it 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 the location that I

wanted. What it used it would have it

would have taken me probably 5 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.

>> [laughter]

>> And this was the most like interesting

part of this was that like it was

basically like on the fly UI on the fly

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,

um yeah, man. I I we could probably, you

know,

sit here and watch me work for hours if

you wanted, but that's I 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 I do

this how like show me more technical

details. Um

I bought the domain

gtmengineeringcourse.com.

I'm going to give this thing away for

free to everybody who wants it. It'll be

entirely public. I've already got a wait

list of a hundred, 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 into one place, but anyways,

just throwing that out there as the last

thing, but any

I'd be curious on like, okay, you see

you just watched this and you're in like

a role at some company.

>> [laughter]

>> 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 I want to hear your thoughts

because I you're seeing way more than I

am with everything. Here, 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 I I it's a glimpse into the future

of autonomous marketing.

So, marketing, you know, all you

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?

Um and then you kind of stitched

together, you know,

if you've ever run ad campaigns before,

you know how painful some of these

things are.

Like both

>> Just uploading the ads alone like that.

I was like I have literally spent like

I I mean I'm just imagining uploading a

thousand ad variations.

Like

>> Dude.

>> [laughter]

>> Like it just Don't give me PTSD on the

pod. Straight up.

I I did this early in my career. It 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

ad creative not fun. Not fun, and you

need to be on it. Um so, the idea that

you can, you know, make this

an agent that's working 24/7 and that's

managing all these different things is

the dream.

It is absolutely the dream. Autonomous

marketing the dream.

I think

uh

who are the winners and who are the

losers of this? The winners are going to

be

uh

you know, one-person businesses, small

teams,

um

and then maybe your your head of

marketing that currently you're getting

paid a hundred thousand dollars 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, um you know, you could make the

case like, hey, triple, you know, triple

my salary. Easily. Right? Like from a

value perspective like if you can do all

these jobs to be done and you're one

person instead of ten,

there is a case to be made that you've

made, you know, you've added a

tremendous amount of value to to your

role.

So, I think

uh

and then the unfortunate thing is I

think a lot of a lot of these jobs to be

done, and this is where I disagree with

a lot of people, is I think that there

are is going to be a lot of job loss.

Uh real job loss like

it just

who anyone who just wants

>> 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 in

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 I have a friend who

runs a startup, and he texts 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, 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, cuz that's just this

like throw like term that gets thrown

around right 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 built that. That's what

an agent swarm is.

And I think that this is the thing that

like people aren't really cuz 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 it cold emails them.

[laughter]

Yeah. And like

I don't think people understand like

what's about to happen in like the next

12 months. So, and I'm excited about it

cuz I think there's like again, what if

you can build like it 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 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 like 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 like

you've been working in the industry for

20 years. The vocabulary you have to

describe something is going to 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 do I do that in the

background? I kept trying to describe

it, it came out terrible. And then I

found this like person giving a

description of like how do you make it

have a TV type texture, right? And it

was like all of these you know, specific

like it was like a specific lexicon to

describe the the qual

literally one shots it, you know,

immediately like what I was looking for

after that. And I had 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 T, and then you

like that what's 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, [laughter]

and six things,

and you come to these 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 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 I 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

it the UX is going to be so easy at some

point. But for right now, like for

example, if we if we

counted off all the tools that you

mentioned in this 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 the list of thems that you can pass

them on.

Phantom Buster instantly. Like I'm not

even talking about like Claude code and

stuff like that. You you like you've

done your research, you found the tools,

and you know, I think that's why a lot

of people listen to this podcast. They

try to, you know, it's a way to 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 out

there and trying things.

Um but yeah, this, you know,

the other sort of

takeaway I have from this podcast

is

your insight around APIs, which I

thought was really interesting. So, like

in the old way in the old way of like

SaaS tools and stuff like that, you you

didn't I mean it was nice an API was a

nice to have, you know. It was about how

good is the software that you're using.

Um how good is the UX? How good is the

brand? How good is, you know, when you

press this feature, how quick is 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,

um you kind of, you know, the nice to

have is actually the the the UI.

The nice to have is the SaaS. The nice

to have is going to this website and and

look pretty. Ultimately, what you care

about is the output and the thing is

running the agents are running, you

know, 24/7. They aren't, you know,

hogging tokens. The output is high

quality. It's doing the thing that it's

says it, you know,

uh it should do. And I think uh Sam

Altman said recently something about

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 I there's a software

like I just won't put them on blast cuz

I know how big your audience is, but

like 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 like UI to do

this output like output that I'm that

I'm like 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

like what what it

I mean we literally have this

conversation internally. Like do we

build an like 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 uh

>> [laughter]

>> 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 mean it's very clear, right?

Like for example, like with the Graft

MCP. That's a live data feed. So I may

I'm 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

a 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 [laughter] on top of

that.

And I'm like, "Okay, well

what what'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 how 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 Claude iOS

or chat GPT desktop or Claude 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, 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 this 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 then you can do this

now with like Claude and with Perplexity

where you're like, "I'm trying to do X.

List five APIs that can help me do

that."

>> [laughter]

>> 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 the necessary

infrastructure

for and like how do you be the thing

that it picks when it's going to build,

you know, XYZ 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 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 uh share some ideas and stuff

like that. So would love to have you.

Um and uh

Have a ton of them, man. We could go for

days about Chrome extensions right now.

You can literally have Claude 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

So people, please, you know, let's beg

Cody to come back on the pod and uh have

him on soon. This is an open invite,

Cody. You can come on whenever you'd

like. Share ideas. You get you

definitely get my creative juices

flowing. So I appreciate you so much and

>> Appreciated you. Thanks for for your

time as always, man. I always love

coming on.

Thank you.