If you are a marketer in sales or in go

to market and you truly want to call

yourself AI native, you need to watch

this episode. [music] On this episode of

Human in the Loop, the most actual AI

show on the internet, I talk to Cody

Schneider, who truly is a 100x [music]

marketer, and he shows you his systems,

his process, and everything that goes

into him being probably the most

effective and AI native marketer I've

ever met, and what [music] the future of

growth marketing looks like because of

AI. Let's hop into it.

Okay. So, we I'm going to start with a

tweet that you put out that blew up.

It's what got us connected to do this.

Um, so you said, "I don't think you

understand what is happening in GTM

engineering right now. I want to try to

explain this to you. What someone can do

in a day with cloud code plus APIs plus

plus nadn plus railway.com plus github

repo plus skillmd files is what a

fortune 500 would do in a year. Today I

made 40 Facebook ads, 100 landing pages,

wrote three guest blog posts for

backlinks, booked myself on four

podcasts with a cold email automation,

uh wrote five help desk articles, edited

two vlog vlog videos, scheduled 25

tweets across accounts, wrote two pieces

of scripting software to give away as

LinkedIn lead maggots maggots magnets

and baked bread from scratch and made

katsu sandos with my chief of fiance. As

I write this, I still have four hours

left in my day. I don't think you

understand what is happening in GTM

engineering right now. And as of

recording this, it has 315,000 views.

Now, I will say once we scheduled this

and people, I think had a lot of

feelings around your tweet there. I I

think you told me this. There was

actually a polymarket or call she bet

around if

>> Yeah. on whether this was like possible

to do or not basically, which I thought

hilarious. So,

>> so for the for the for the people who

read this and say Cody has to be a

fraud. What is your response to them?

>> I'm just doing I don't know, man. Like

with everything that I'm doing, it's

like this is what I'm experimenting with

and seeing work right now and I just

share it in public. Um it's I think for

a lot of people that have never

interacted with my content, they're

like, "Oh, it's a bunch of just cap like

full stop or like again this is just

what's working for me." like I just kind

of live tweet like here are the things

that are being successful based on like

go to market strategies like with my

company and with what I'm seeing with

friends companies who I talk to. So

anyway, yeah hopefully today I will like

give you all the tooling you need to be

able to do this yourself. It's totally

possible. Everybody that is on this call

will be a can do this. Like it's not you

don't have to have any specialties or

like any like you know specific

knowledge to get started on what I'm

talking about today. And before we hop

into it, like

how like how profound is what's

happening in go to market and go to

market engineering right now? Like what

is the impact this can have on someone's

career or their business if they get

this system right?

>> I mean this is one of the most searched

for roles right now. Like I've gotten

five uh messages in the last like seven

days from founders that are like, "Yo,

I'm trying I saw this tweet. I'm trying

to hire this person. Like who can you

intro me to?" Right? Basically like

looking for these skill sets. Um just to

give you context like I've worked in

startups for a long time. Um early stage

is what I specialize in. Like to do this

type of work like I would have had

traditionally to go out and hire a team

of like you know whatever 20 people to

execute on this. Um in contrast it's

just like it's just me now right like

this is the difference that this has

evolved into and like this is how

companies are starting to like leverage

all of these tools is to be able to

basically compound their skill sets and

like your domain knowledge that you have

combined with this is where the real

magic is. Like if you have a deep

expertise in one thing and you can you

understand the systems and the processes

for that, if you can translate that into

code, which is like literally what we're

doing, and then use this as a system

like to go and do activities for you,

like that's where the real like power of

this comes from. So I I I I don't really

have words for it. Like I'm actually

losing sleep about it to be totally

honest. Like I woke up at 4 a.m. this

morning. I was like, I think I can

do this like this totally like different

thing. Um I my friends are like also

like this like you know the the people I

talk to on a weekly basis that are in

growth that we just share like what is

working like what's happening right now

what's the meta that exists like

currently in the market they're all just

freaking out basically cuz the amount it

it's like I I was telling you off this

call like before we started Alex like I

I have a friend he works at a startup

like they're being too slow on shipping

what he's doing at the company. So he's

basically in this waiting period. He's

picked up like three side gigs doing

growth consulting for them and he's

shipping more using this type of system

than what he's doing at his day job.

Like that's how like the velocity that

you can go at. And I know there's like a

ton of people that are like, "Oh, it's

all slop. It's all it's all you can do

this really effectively." And we're

going to like talk to that. I know on

the like beginning of the conversation,

but

>> two two uh final things before we hop

into it. One is, are people going to

know how to make uh killer katsu

sandwiches by the end of this?

>> I can give you the recipe. I mean, super

simple. It's basically just like get

good chicken from a butcher, use panko,

and then just make like a tonkatu sauce

to put on the top of it. So, Mike,

>> love it.

>> My uh my fiance family is Japanese

American, so we get we kind of get

hooked up in that that neighborhood.

>> Cody is a Renaissance man or as someone

in the chat put it, the uh the Erlic

Bachmann of growth. Uh [laughter]

>> I love it. Hey,

>> that's

>> so good. I'm going to uh stop talking.

Let's fire this thing up. Where do you

want to start?

>> Yeah, I think I think just to begin with

like just a quick history of like what

is GTM engineering for the uninitiated.

Um so this really kind of started to

happen in like 2023. Um to originally it

was just like for outbound motions,

right? So uh Clay really kind of uh

solidified this as a job function and it

was really focused on like rather than

thinking about can uh the work that I'm

doing to do distribution as campaigns.

Let's think about it as like systems and

processes that are directly you know

trackable attributable and treating this

almost as like what a software

engineering function would be where it's

like hey we do weekong sprints we look

at the data we analyze what's working

and then we repeat those processes. In

the last couple of months, it's totally

had an evolution to now it's not just

outbound, it's everything. Like, you

know, it's it's inbound, it's paid ads,

it's organic SEO, it's like organic

content, it's you you you name it. And

there's not a thing that it's not

touching. And this has really become

kind of the foundation for like how

these like early stage companies are

doing really effective distribution and

growth uh strategies is trying to build

out these systems and processes and then

like I mean I'm seeing people

incorporate these into their code bases

as well right where it's like okay I

built this side project thing it's now

running the entire like you know blog

like organic content strategy and now

we're going to build this into the core

codebase of the company the entity you

know, uh, and then it's it lives on in

perpetuity. It's like this agent that's

just kind of working continuously in the

background that's in the core codebase.

So that's do you think do you think the

phrase GTM engineering is a useful or

valuable phrase anymore given that now

to your point like it started as

treating outbound sales like software

engineering, treating it more like a

science than an art? Now you're

basically saying it touches sales, it

touches marketing, and now even like if

you look at other companies like

>> Yeah. Now it touches like basically I've

heard GTM engineers referred to as

people who just like are truffle pigs of

inefficiency in a business and they

build agents and things for any function

of a business. So do you think that

phrase even has value anymore?

>> Yeah, I think it's just the the same

names, the exact same person that's

always existed for the last 10 years or

20 years. Like it was a growth hacker,

was a head of growth and Now it's a GTM

engineer. It's just the tooling and like

the activities they're doing are the

exact same. Like if I look at my

day-to-day like if I was to zoom out

like I'm doing the exact same type of

work, right? It's like I'm basically

trying to find marketing and

distribution arbitrage within the system

like figure out the positioning for my

company so that the audience is

receptive to it and then I'm going to go

and basically like build out processes

to go execute on that and then you know

have some type of data analysis over the

top of it to actually track what I'm

doing. It's that exact same thing. I'm

just changing the underlying tooling. So

I don't know if it like GTM engineering

really like encapsulates everything that

you can do. I just think that that is

like how people are talking about it and

describing it and it's also just like

one of those buzzwords that are for for

currently. But if you're in any role

that like gets people to buy things, you

can do these exact same strategies like

whether that's sales, whether that's

marketing, whether that's customer

experience, whether that what whatever

it is like whether that's revops, it

doesn't matter. You can all like use

basically these this foundation as a way

to like do your work, you know, more

fully. Well, let's uh now that people

have a foundation of what GTM

engineering is, let's uh let's give

people the sauce. Where do you start?

Yeah. So, to begin with, like how I

structure it.

Cool. So to begin with, like what I've

done is I just have this um file

[clears throat] that is on my local

machine that's in documents that's

literally just like this is what I live

out of now. This isn't organized. And I

know there's an engineer that's going to

see this and be like this is disgusting.

I totally agree. It doesn't matter. It

works for me. So basically what I've

done here is I've um like you can start

with an empty file and this is how you

begin this whole process is basically

make a file that you're going to live

out of. And the first thing that you're

going to do is create an environment uh

file. Um and it's called an EMV file.

This is where all of your API keys are

stored. And this is how you're going to

go and interact with all of the tools

that you use within your stack. And this

is what I'm about to show today. So what

I've done now is I've cded or I

basically moved into this directory. So

uh documents/graphthrowth

agents and then I'm going to start

cloud. I'm just going to assume that you

know how to like install clog code onto

uh your your um your applica or you know

onto your local machine. Um if you don't

know how there's tons of tutorials how

to do this so we're going to skip over

that basically.

>> Cool. And can you just zoom in a bit

just for

>> Absolutely. No problem.

>> Yeah. So thanks.

>> So now that I'm in this folder and I've

got Claude open, this is basically where

my work starts from and this is how like

I go about my process of uh you know

whatever it is that I'm doing. So a lot

of the times how I'm doing this is I'm

spinning up multiple cloud agents and

I'm putting them in different desktops

and then I'm just moving between those

desktops as I'm do as I'm doing work

other work in the background. So like

for example for the Facebook ads um uh

the first you know one of the campaigns

that I'm running right now is basically

a before and after. So I'm just going to

bring up uh this um uh like software

that we wrote for this. So uh give me a

second. I just got to remember the name

of what it is, but I'm just actually

going to transcribe. So, it's the

Facebook ad software for the static ads

before and after. Can you start this and

run it locally? So, what I just did

there is I used a transcription software

called Super Whisper to transcribe that

out. I'm now going to tell Cloud Code to

basically open up this software. Um,

what it understands is the file

structure, everything that I've done

previously so it can basically go and

bring this up for us. And so this will

be like the first thing that we do today

is basically we're going to I'm going to

show you how I built out this template

that is for ad creation and then show

you how I'm basically using this to go

and then do bulk ad generation. I'm just

going to walk you through this entire

process. Um and then show you how I

would like set up an AI data analyst to

basically watch this campaign that I'm

doing for testing and what I would use

for measurements of success. So this

whole thing here that you see is

entirely like AI generated. Um this is

actually components. So if I was like to

zoom in on this in hover, this is like

react components. So this is code. So

this came from an epiphany I had that

like all design is actually just code on

the under like if you go into Figma and

you're doing any design, it's just code

that's under the hood. So why can't I

just make these outputs using uh uh

React components? And then I use this

library called HTML to canvas. And this

library is basically a way to export

that uh uh React component as a

downloadable PNG. So built this template

out basically go back and forth with

claude to like create that template.

Once I've done that, I can then use this

to do bulk iterations. So then I created

this sec or you know this separate uh

function that enables me to go and bulk

generate as many different variations.

So it's just text variation changes. But

why would I be doing this? I'm basically

trying to uh test different angles that

I can talk about the same product from

to understand the positioning. Um so how

would I go about this process to

actually uh like you know create that

output. So just for again today we're

going to be using my company graft as

like the the the company that we'd go

about this for. So what I would go and

look for is I'd use perplexity to help

me identify. I I've now built this into

claude like I have an a file talking

about my MCP but just to zero to one

this process this is what I would do is

I would basically go and I would search

something like um what are the pain

points

uh that an AI data analyst

for GTM teams

uh do something like what are the pain

points that analyst would solve um and

then what are the outcomes.

Uh actually I'll just do this

transcription. So what are the outcomes

um

uh that a AI data analyst for GTM teams

like what would that GTM team want? What

would be the outcome that they would

want? And I'm going to use this as

source material for the ads that I'm

going to create. So I'm then going to

put this like uh tag to like search

Reddit for this

um to pull in actual customer

conversations. Um, so what I found is

that when I do this, I'm using the

language of my target customer. Like

here's their actual pain points and the

actual uh um, you know, outcomes that

they're looking for that I'm then going

to go incorporate into the bulk

production of this ad creative content.

So I'm talking in the language that's

going to be most receptive to them. At

that at this point, I would pull this

out. Again, you could use, you know, you

could use Claude, you could use chatgbt

for this. This is just what my workflow

looks like. I would then go to Claude

and I would say uh you know actually

honestly I'd probably just drop this

into this uh chat now. So, I'd uh drop

this in as context and then I would say

uh brainstorm

um

uh we'll say 40 ad uh titles and uh

supporting paragraphs

uh based on the source material

and then it's basically going to take

that into context. it understands that

it's interacting with this code that I

have written or that we've created and

then it knows okay this is what we're

trying to basically like change within

this um it's going to create those uh

title and subject or title and um

supporting paragraph variations and then

I can just say go and do the bulk

creation of these ad creatives at that

point it's going to make the zip file

for me of all those variations and then

I can upload that into Facebook ads um

this is something I'm like actively

building out right now is basically that

connector like I don't have this built

yet. It's halfway done. I was trying to

have it ready for today, but it's not.

Um, so I'm you're just basically going

to then uh like within cloud code, I

could basically say, "Hey, I want to

upload this zip file or upload all of

these images into this specific

campaign." So you can drop in this

campaign URL that uploads them in uh and

then um basically what it allows for is

either like it puts them into a draft. I

can change all of the um uh URLs like at

scale that they're sending to change the

subject lines. So it's written these

right and at this point I can say okay

uh now use uh okay now use the bulk uh

generation for the ads to create ad

variations of each of these and hit

send. So while this is working at this

point I would spin up another uh

workspace. So, I'd go then to documents

again

and go to graph agents

and I'm going to start cla again and I

would move this over

for

>> for one sec. Can we just pause for a sec

cuz you're like you've covered so much

good stuff and I just want to make sure

that uh I'm on the same page with

everything.

>> Okay. So basically what you've done like

the whole goal here is you're running a

ton of meta ads for your business and

your your whole thing is like the

bottleneck historically was getting

enough good creative to test and rotate

in when you're running paid marketing

but now basically you have the ability

to

one do research into your uh ICP for

your business and see like what are

actual problems or pain points

that kind of like the the end buyer for

the AI data analyst uh for GTM what are

the pain points they've actually talked

about online which is why you searched

Reddit you then use that output from

Claude or for sorry from uh Perplexity

but you could do with any LLM you feed

it into Claude where you then have

Claude create kind of like the um the H1

and any of the copy for the ad and then

you use all that plus this this piece of

software you've already built to

basically build 40 variations of the

existing ad you have. It's not connected

yet, but ultimately you're going to have

or connects where those 40 ads just get

uploaded into your ads manager and meta.

You can go through and decide which ones

you want to set versus not.

>> Yeah. Or I can just have AI tell me

which ones are the best like performing.

Right. So,

>> yep. This

>> and and a few people have had a question

here which is like well there's been a

bunch of questions but the process so

you already have this thing built

>> that is building the ads for you. I

think people maybe have question like

how hard is that like could anyone have

>> you did that in about 20 minutes to just

give context. I basically was like build

me like an a bulk ad generator like so

this this I built this first to

visualize it and it like has basic so I

gave it an example of an ad that I had

seen previously. I was like hey I want

you to make a template based off of this

and then I just went back and forth with

claude. So install the clog code skill

that's uh called UI design. Um if you

just Google it, that will come up. Um

and this will just like help with the

outputs um like from a quality

standpoint, just from like a design

standpoint. Um but this this whole thing

that you're seeing right here, like this

whole interactive thing, this was like

two prompts basically to get this live.

And then uh the bulk generator uh took a

little bit more, but it was just going

back and forth basically explaining the

outcome that I was anticipating. Um and

this whole build was about 20 minutes to

build this infrastructure. Awesome.

Cool.

>> Okay. So, I've now created all those

variations. Um, and I I just want to

zoom out to like why are we even doing

this? Like why am I making all these

variations? I I don't know what's going

to work on Facebook ads, right? I have

uh like gut intuition on what I think is

going to, but how like what the audience

or my audience is going to be most

receptive to. I I the only way that I

can identify that is through testing.

And so by doing all these testing

variations, that is like why that's how

I'm going to see like what the audience

is most receptive to from a positioning

standpoint once I find th those winners,

right? And I just have like examples in

here to show you this, right? So like

this is the CPC is 30 cents on this one

in comparison to 53 and 85 on these

other other examples. Um I can then say,

okay, well what does that what is that

messaging of that specific ad? How do I

go and remix that messaging across

different formats? So I would then take

this this messaging from this ad and I

would go and I would bulk generate for

example maybe UGC's to to do a different

ad format. So this is again something

that I'm building out actively right now

is basically uh like plugging into the

hey genen API so that I can then go and

uh bault create uh creative for uh the

um uh like based off of those winning

formats. And like I've already I'm

already doing variations of this, like

thousands of them, right? Like if I

could just continue to scroll. So all

I'm doing is taking the workflows that

are already working for me and I'm just

trying to automate as much of those as I

can, right? By using this tooling so

that it's in the background basically,

you know, functioning on this. So all

right, so it's completed that, right? At

this point, I would go back. I would go

to that bulk section. I could download

those uh those files. I don't know if it

updated this. Maybe it's only showing

the first five. or yeah, it's only going

to do these five. But anyways, this is

we could go back and forth basically to

be like, okay, this oh, so this zip

folder is in bulk ads comparison at

zips. Um, uh, add these, uh, to the bulk

page. Just say for/bulk.html

so I can download.

And then while that's working on this,

this is where this starts to compound is

I would go and I would start on another

process. So, uh, I found a winning ad

format that's working for me. Cool. Now,

what I want to go do is I want to go

spin up landing pages that are dedicated

to those winning ad formats. So, what I

how we've structured this is I use this

software called Strappy. So, Strappy is

an open-source CMS. You can run this.

Uh, this is like actually how we've

built this on graph.com. Um, so we use

Strappy. It has an API endpoint that I

can hit and this allows for me to go and

create upload and create blog content,

landing page content and whatever other

content formats that I want. So you

basically create a content format within

Strappy and then I'm going and

interacting with that through cloud

code. You could do this with any CMS

like you could do this with WordPress,

you could do we just use Strappy because

it's like infinitely scalable and we can

self-host it in the long term. So, if I

have a 100,000 blog posts that are on

the site, like this is a way that like I

can do this at that scale at a super

cheap cost. So, for these landing pages,

I already have a template that that

exists. Um, and all I want to do is

change the the the title and the um uh

the it's basically the homepage of the

website that is just like built into a

templated format. So, it has this like

H1 and it has this supporting. So say I

find a like Facebook ads uh uh uh angle

that is working. I could then go and

bulk generate those uh landing pages. So

this is one way that I would do this

with Facebook ads. The other way that I

would do this is I would actually

extract the keywords that are converting

from Google ads. So what's actually

creating the signup action or the

payment action and then I would go and

build these landing pages out at scale.

I used to do this manually. I now like

just use clog codes to do this. Right.

So, what I'm going to do is uh like uh

open uh the landing page

or let's just do this. Open the landing

page directory. We're going to build

some landing pages together

and get that started.

>> As you're as you're doing this,

>> what one question I saw from folks um is

how much do you have to spend like how

much are you spending on meta to feel

confident in these tests you're running

before you kind of double down on

winning creative?

>> Yeah. So like we haven't spent a ton to

be fully transparent. Like we're super

early stage. I like literally figured

out the positioning for this brand like

two weeks ago. Like we we started out as

really broad like we're this AI you know

business intelligence software and then

we funneled down into no we're AI data

like an AI data analyst for GTM teams

because we found this to be a massive

pain point when in the market where it's

like hey you're like you know 10 to 50

people and you don't want to hire a data

engineer but you need a way to unify

your data. We're the solution for that.

basically. Um, so it it really like how

I approach the structure of my like

Facebook ads campaigns. What I'll This

is just how I do it. There's a million

ways to do it. This is how I structure

it. So, I'll test all the ad creative

against each other in a click campaign

and then I'll look at what has the

cheapest CPC and I can run, you know,

we'll do like a $100 over a three-day

period to see which gets the cheapest

CPC. At that point, I'll take those

winners that have the cheapest cost per

click, which is typically an a leading

indicator that once I move them into a

conversion campaign, I'm going to get a

cheaper cost per action. Like, this is

just the what I've seen historically.

So, I take I test them basically in a

CPC campaign against each other. I take

those winners, I spin those out into

their own conversion campaign, and then

I give them their own dedicated budget

that they're running against. And this

is how like a way that you can basically

test creative like you know imagine

testing 200 different pieces of creative

on a monthly cadence to find those

winners so that you're always refreshing

the creative that you're like adding to

your your your ads platform that you're

using. Same strate functions with Google

ads as well. It's basically like I'm

just constantly looking at the uh

keywords that are creating conversions

or like getting the cheapest CPC in

relation to

>> it's kind of like this is the paid

marketing equivalent of you know uh I

know Gary Vee talks about this a lot or

even if you look you think about like

some of the best non-fiction authors say

like I even think about like Morgan Hel

or like um Malcolm Gladwell the way they

didn't start with books what they

actually started with was a tweet

that performed well. That tweet that

performed well, they turned into a blog

post. That blog post that performed

well, they repurposed a bunch of ways.

And then ultimately, like Malcolm

Gladwell's book, um I can't remember it

was David and Goliath or another one

literally is just a article from the

Atlantic or the New York Times that

performed exceptionally well that he

turned into a book. Morgan Hel's book

psychology of money is just a

repurposing of his best performing blog

post. But it's the same concept of how

do you as low resource as humanly

possible test something before you know

that it works and then put more resource

into it. And so the point we're at now

is like you run all these different

derivatives of ad creative and meta. You

see what works well and then once you

know what works well then you start

putting more resource into how that

messaging shows up and other parts of

the funnel.

>> Totally. And I I also think that like

the creative doesn't have to be perfect

to begin with as well, right? Like we

have these 40 variations that we just

generated, right? I go I hit download,

but the variations like I'm just going

to go back to the core of this while

that's running in the background. The

variations like once I find a winner, I

can always come back to this and have a

human touch this up and improve it,

right? Like people for some reason they

get stuck on like oh this isn't

malleable and like the internet you

can't just like iterate on top of this.

This is how software engineering has

like functioned for the last since the

dawn of everybody doing like what we're

doing within software right I you got to

think about it in that capacity we now

have like for example I see this with AI

avatar UGC ads all the time where

they're like oh I can tell that it's AI

avatar UGC. I'm like, great. You can

tell I some of the best performing ads

that I've seen have been AI avatar ads.

And then you know what works? What's

even like more interesting is when we

take that ad and then we go and we use

like V3. So my process as an example is

I would go and I would bulk create ads

with Hey GenE and then I would test

them. I would find a winner. I would

take that winner. I go to V3 and I try

to make a better version of that winner

with that same ad script. The concept is

what you're testing. the the the medium

that you put it on, like the platform

that you put it on to put it out in the

public can can evolve and can change.

But what I'm trying to get to is the

messaging component. And this is a way

that at scale I can do that. And then,

okay, I find that the V3 one that's not

performing as well as I think a human

could do it. Then at that point, I can

go hire a human, they read the ad

script, and we turn that into an ad.

What I'm seeing a lot of the times is

that the iteration that I can do I can

get a better I can move faster than what

I can do when I incorporate a human into

that process because I have to wait on

them. I have to like you know give them

feedback on how they're doing the script

read etc. And I can get an output that

is I I can just move so much faster than

what that human in the loop ends up

looking like. And if I can move faster a

lot of the times I can win. So again I'm

talking about startups though too like

we're an early stage company. This is

way different when you're at a larger

organization, but there's ways to

incorporate this into your workflows

that I I I think people don't like if

you just start to think in this way, you

you you can compound the experience that

you have. Like you you're you're no

longer like a p like a single person

that's joining a company. Like you're a

person with 30 agents behind you and you

have all this personal software that

you've written that you're now bringing

to the table. Okay. What leverage does

that give you to negotiate from a salary

standpoint? like you're not just hiring

me, you're also hiring my system that

I've developed and that I'm going to

bring into this organization when I

come. So anyway, I don't know if there's

questions around that I can try to

answer, but

>> yeah. What percent more productive would

you say you are given your use of these

tools versus old Cody?

>> I I've done I've done probably more work

in the last two weeks than I had done

since October probably. Um, like I I I I

can't even put a number on like it's

it's it's in it's infinite. The the

problem now is no longer like the things

that can be done, right? Like I can I

can we can be in here right now and be

like here we'll just do this. I'll just

be like go and make landing pages. Like

I'm going to do AI dashboard generator,

right? And then I'm going to use this

tool called keywords everywhere and it's

going to help me find all the longtail

keywords related to AI dashboard

generator. So it's going to pull all of

these out. It's going to extract these,

right? I can take every one of these

keywords. I'm going to download them

right now.

I'm gonna copy them. I'm going to go

over to Claude and I'm going to say make

a landing page for each of these.

>> Someone saying that you're in crisis

after understanding what is possible.

>> Yes. This is literally what it comes

into because you you you the [laughter]

I'm I'm like losing sleep over this. at

because of what you can do like it feels

like you're at this like tipping point

again with the domain knowledge that I

have like I have experience in what you

know these aspects like these deep

understandings if I can go and apply

this to that right it creates this

compounding effect in the work that I

can do that's just at a ridiculous level

basically and so cool it just said like

it just set this up seven new pages are

being created now it's going to give me

the URLs for those pages I can take a

look at them in a draft mode and I can

hit publish or I can just say, "Hey,

just hit publish and let's go like right

into the

>> and to create those pages because I'm

sure like I I had a similar question as

you were creating the bulk Facebook ads

like what's actually creating the design

there like um what Yeah.

>> Yeah. It's just the template of the

homepage. So all I've done is like

forward slash like page, right? And I'm

just going to go to this test page

integration, right?

>> It's just this. It's basically the exact

same thing of the homepage, only the

title and the uh P1 in the hero section

is being changed. The reason that we do

this is because when we see that when we

align the ad and the landing page that

we're sending them to, we can increase

the uh conversion rate that's happening

there. Like this is why you build, you

know, this is why there's like thousands

of landing page builders, right? Like

you could you go for hours talking about

like lead pages or like, you know, any

of these. The whole idea is I'm trying

to like optimize that funnel so that it

feels cohesive to the user that's coming

from an ad to the page that they're

landing on. Um what I'm how I'm thinking

about this now is like okay well this is

just a single landing page format. I can

go and make as many different variations

of landing page formats and then go and

test those against each other as well.

Like it it it this this expands kind of

infinitely in whatever direction that

you can imagine. And and I'm also not

like hindered by any engineering

resources with everything that I'm doing

here, right? Like I I'm having Claude

set up this infrastructure.

I'm then having Claude do the work for

me of like, you know, page by page

building out landing pages for every one

of these, right? And then I'm basically

deploying those. What this turns into

from here too is like cool, now I want

to go and I uh want to submit these to

Google Search Console so that they get

indexed. I like ask claude okay what's

the sitemap that these are under I then

say okay hit the search console API to

submit these so that they get seen uh or

uh so that this um sitemap starts to get

indexed by search console I see that

those pages aren't actually getting

indexed I can hit the web indexing API

from Google uh that Google provides to

basically do like a manual ask for the

indexing of that page the like it's

basically the exact same work that

you're doing but just employing this.

>> Cody, you're you're uh your you were

frozen for a second. I think uh your

your computer is like about to take

flight. They're like they're like I'm

trying to match Cody's energy right now

and it is not possible. I'm simply a

robot. But but I think um the I think

the the gist of it is like you you're

able to create at such abundance. Now, I

guess my question for you is is like

what is what is the biggest bottleneck

in a marketer or head of growth's job

now if you're functioning like a go to

market engineer?

>> Yeah. The the the biggest challenge that

you're going to be facing is the amount

of data that you can produce is at a

scale that you just like never could

previously, right? And this is actually

like the whole origin of the company

that I'm building, right? It's like

everybody right now can go and build a

thousand Facebook ads, right? Like I

just literally showed you how to do

this, but how do I understand what's

actually working? Like what is actually

happening within that data at the scale

that I'm at? Like this is this is the

challenge that all of these companies

are going to be facing. And this is like

exact. So we tried to solve this too.

Like I initially tried to build this

with like an MCP or just like hitting an

API endpoint to pull in the data. Like

Facebook ads alone for like one of our

customers creates 25 million rows of

data a month, right? like at the scale

that they're at, they're deploying about

180 grand of like spend a month. The

there is no way through an MCP or

through the Facebook API that you could

basically hit that. So before we get

even get into that though, like I'd love

to do an actual build just to like show

people the process where it's like, hey,

we're going to scrape LinkedIn comments

and like people that have engaged with

profiles. We're going to use this tool

called Phantom Buster to basically like

pull all that out. We're going to send

that to Apollo and then we're going to

send that to instantly AI to actually

like cold email these people just to

show people what do looks like. So,

>> and if you're watching and you're at

LinkedIn, I apologize, but this is going

to be awesome. [laughter]

>> Watch my account's going to get nuked

after this. So, give me one second. But,

um, but I just want to show people like

what this process like actually looks

like when you're starting from zero just

so that they can understand. So, I'm

going to start an entirely new window.

So, I'm going to go into terminal and

again I'm going to go into that

documents folder

and then go into that agents folder and

then I'm going to uh start cla and we're

going to start from scratch and I'm

going to say okay I want to build a new

workflow that basically will take the

engagers uh from a um LinkedIn profile

uh sorry from a LinkedIn post that I

find and it will then go and use the

Apollo API to enrich those individuals.

It's going to pull out the emails of

those people. Uh, look for the Apollo

API key um, within the environment file.

All this should be within the

environment file already. Ask me for any

API keys if you need them. Uh, and then

I want you to then go to the mill

million verifier and validate that email

and then add it to an instantly uh, AI

campaign. Let me know if you have any

questions. So, at this point, I'm then

going to turn it into plan mode and have

it basically walk through the process of

like, what do you need from me to get

this output that I just asked you for?

That is literally the origin of this and

20 minutes later, [laughter] you're

going to have that whole workflow built.

Like, you're just basically providing it

what it needs to do this activity for

you. This is like how simple this is and

this is how

>> Yeah. I mean, I was building a similar I

was building a similar thing yesterday

where I want to I've noticed there are

more go to market engineer, chief AI

officer, head of AI roles and to me

those companies that post those jobs are

great potential customer for 10X and so

basically I just similarly to you and we

have like a certain planning prompts at

10X but you can you know Claude's plan

mode is is more than sufficient. I

basically was like, "Build me something

that every day uh goes through and

searches LinkedIn jobs that have these

three titles or titles like them at

companies that have more than 200

employees. If you can't get it directly

from LinkedIn, use Exa cuz I know Exa

has basically scraped all of LinkedIn.

Enrich the data so that you know which

of these companies actually have more

than 200 employees. and then set up a

Slack integration where every day in

Slack we get a message with at least 15

jobs that have these titles at companies

of this size that we can send DMs to.

That's where it's at. Now, we can take

it a step further obviously and actually

like automate the drafting and DM

process.

>> Exactly. This is the whole like so what

you just described is where all of my

time is spent now is figuring out like

what is that arbitrage, right? And then

how do I go and basically like and this

is the game now, right? Like you're

you're competing against like people

like me, like you, like you know, our

friends that are all doing this type of

work. Like this is how sophisticated

it's starting to become. And like I I

I'm like honestly just like afraid,

right, for like I I you know I I know

people that are in these roles that like

aren't like adopting this or their or

their jobs won't let them adopt this

yet. there's just this huge opportunity

cost basically to like not like start

doing this immediately and I like the

other the other piece of it is like how

do you communicate this and like show

this internally of like the activities

that you're doing and again like the

with the system that we're like I just

to show you an example of this right so

okay I I spun up this campaign and I'm

going to go and I'm going to extract uh

the ad set ID okay and then I go over to

graph and I'm like cool uh like make a

dashboard

about this uh ad set. So, I've selected

like the um like Facebook ads and then

I'm going to hit send message. So, this

is going to go and make a dashboard for

me about this campaign that I just spun

up. While it's working on that, in the

background, I'm just over here doing

whatever it is that I'm working on with

cloud code, right?

>> Yeah. So, let's keep let's keep this

let's keep this LinkedIn thing going. I

think it'll be awesome for people to

see.

>> So, I built this pipeline already. So,

what I'm going to say is build uh like

something else. I'm going to be like do

it from scratch

to show the process.

So, gave it the output the outcome that

I want it. So, it just read my codebase

and it understands, hey, you already

have something like this. Um like are

you sure you want to basically do this

or do you want to do it a different way?

So, now what it's going to do is

basically go and design this whole

system for me of what I just described.

And this will have some back and forth

that's necessary where it's basically

going to ask me, hey, like I need these

API keys. Like here's where to it'll

walk you through step by step like

here's exactly where you need to go to

basically get those API keys that are

necessary for me. Here's the permissions

that I need. It's crazy, man. Like on

Facebook ads in particular,

traditionally a very like challenging

API to interact with. Um it is so it

understands the API so deeply like from

a totally

It's it's honestly like I can't even

find good documentation on Facebook

alone like about the API to like if I

was trying to do this myself, but by it

going and interacting with the API, it

knows what it needs to like it it can

guide me through this process.

Basically, it sounds ridiculous. It's

almost like you're a vessel for what it

needs from you to do the activity that

you're trying to

>> I mean that that is exactly what it is.

Like I think it's really important for

people to realize that with cloud code

it's it's one of those things where you

you really do not have to understand

software engineering. You just have to

be a clear enough thinker. But honestly

quad code is getting better at even if

you're not a clear thinker you're a

disorganized thinker because it's really

good at uh inferring what you want and

anytime you don't know something. So if

it's like I don't know using the example

of what I built like hey I want to

scrape for these things from XA if it's

like oh you need to go grab the sign up

for an XA account and grab the XA API

let's just say I didn't know what the XA

API was I could just ask it how do I

what is an API or how do I go grab the

XA API and it gives me the act exact uh

directions. So, and to the point Cody

made, it's like because Claude code and

these tools can now just build software

from scratch, it's using like people as

a vessel to get all the information it

needs to build these things. And we are

just a conduit for giving the

information it needs to basically build

software from scratch. Totally. I think

the other thing just to piggy back that

on like if we had this conversation two

weeks ago I would have had like nitn

within this workflow and like what I

found is that I'm actually now just

going directly to um like code like I I

I'm just skipping nitn as like within my

stack and just going like immediately to

like writing. So, for example, like I I

needed to set up a um basically like

after a sales call, I want to give a

notion document of the recording so that

it writes an email draft uh for me and u

uh based off of like what the follow-up

steps are for from the onboarding call.

Um I needed a server to be able to have

this run in in perpetuity in the

background all the time so I could like

send a Slack message and have it run. So

I gave like

>> by the way so so you guys know because I

think like you may be watching Cody

right now and you're like holy hell this

guy is frenetic and like he's context

switching to all these different things.

It's one of my theories that like

multitasking has always been like a

frowned upon thing. But what he is doing

is actually not multitasking. It's

multi-threaded work is the way I view

it. where it's now as things can run in

parallel. The only way to work is going

to be working on multiple things in

parallel because the cost of not doing

so is someone else who is able to do so

because you actually don't have to

divert your attention across many things

because another coding agent or another

claude is going to have all of its

attention focused on that one task.

>> Yes. And like this again I'm I'm just

basically jockeying these agents is how

I think about it, right? like I'm just

going back and forth between them and

like guiding them or doing what they

need from me and just to come back to

this so like I needed a server and so

that this software could run in

perpetuity in the background right so

like it be basically always beyond not

just using the CPU on my machine um so I

gave it my railway API key and I'm like

cool set up you know a type you know set

up the the server that I need it was

just like a node express server it set

that up for me it launched the software

on it pushed the the uh uh the repo to

GitHub to be able to do this. Like all

of this it handled on its own. Again,

while I'm working on these other

activities, whether it's like creating

dashboards or analyzing the data or

building out a new workflow for whatever

like opportunity that I see within the

distribution stack that I'm going after.

So anyways, I don't know there's other

questions I can crowd.

>> Where are we? No, no. So where are we in

the the LinkedIn build? Yeah. So, in the

LinkedIn build, uh it's currently uh

like here, it basically created this

action plan and it's now going to go and

like implement what I just described.

So,

>> cool. And ultimately, what you would

have to do for this to be like fully

built is you're going to need like an

API key for the thing that scrapes from

LinkedIn. You're going to need an API

key from Apollo, which is going to

enrich those leads from LinkedIn. You're

going to need an API key for instantly,

which is the thing that sends um cold uh

outbound emails. And there's one other

API key. What's million verifier?

>> Million verifier is just a uh email

validation software to check that the

email is like actually valid so you

don't nuke the cold email can like

domain that you're sending from. So

>> yeah. So basically what's going to end

up happening probably is that's the only

work you're going to have to do is get

these API keys from these different

sites. If you don't didn't know how to,

you could just ask Claude how to do it.

You're going to feed it to Claude and

then once it's done and you test this

out, if it works, amazing. If it doesn't

work, you just feed the error back to

Claude and tell it figure out how to fix

this for me.

>> Exactly. Um, honestly, it'll just do

that recursive loop for you. And this is

like why it's so powerful is like if it

sees the error that's occurring, like

for example, we had this with railway

when I was deploying the server, like

there was some bug that was occurring,

it just looked at the logs to see what

was happening and then fixed it so that

it could do the deploy. So this is now

completed right like it's now done this

basically um I can now just drop in a

LinkedIn URL here like what how I'm

going to extend this like just to

communicate it is like I'm going to

build this as a slack function so I do

like forward slashlin

uh enrichment right I drop in a LinkedIn

post URL and that will just fire this

whole thing off and that automatically

gets added to the instantly like AI like

campaign that I'm running that cold

outbound strategy from for people that

engage engage. So, as I'm scrolling

LinkedIn on my mobile, right, I find a

post that's relevant to the software,

the product that I'm building, people

that interact with that post, they're

valuable to the company. I take that

post link, I drop that into Slack, and

this whole thing fires in the

background. So, I this is this is the

compounding effect that can happen. You

can also just provide this as a tool to

your whole team as well. So they can

just like feed this into it or you can

have it where it's like automatically

scraping for these posts using something

like appy or rapid API to go and extract

the uh like most viral pieces of content

within the category that you're in. Or

if you know that specific creators make

content that is super val like that is

like they do that on a consistent basis

that your ICP interacts with you can go

and follow them. So like this is

something I'm building right now is I'm

basically taking like all the incumbent

competitors CEO's LinkedIn profiles. I'm

looking at their their content to see

who engaged and then that typically is a

great signal that they're like in a

buying motion with that company. I then

take that and then go and reach out to

them. So these are the like the levels

of the game that you can play with this

basically. So

>> and anything so we have about 10 minutes

left. Is there anything else you want to

show in kind of your build um before we

hop into questions?

No, I I I think the only like again the

only thing that I think is going to

hinder people is like thinking about

[laughter]

you can do anything now. So like what

should you do? And again like going back

to those like the data is going to drive

all of your activities. like you have to

have a solution for whatever it is that

you're like just going like I I see

these like tutorials all the time that

are like here's how to do like you know

this this action where it's like for

example like I'm going to make a

thousand Facebook ads like if you don't

have like an outcome [laughter] that

you're moving towards or a way to

measure this there's no point of what

you're doing like all the AI slop

tooling in the world will again will

enable you to to create as much content

as you want but unless you can actually

analyze that information. That's that's

the only way that you're going to be

able to like

scale with this. So anyways, that's my

only thought.

>> And two two other things here. One is

we're going to do questions now. If you

have questions, put them in the Q&A part

of the chat so that it doesn't get

drowned out by honestly the amazing

conversation that's going on here.

There's literally conversation in this

chat about people setting up a go to

market engineering WhatsApp group uh to

keep the conversation around this going.

But yeah, drop questions in the Q&A.

I'll take a look at those. Um, and in

the meantime, I got this question. So,

we purposefully make these

conversations, I would say,

technicalish, like not technical at the

at the level of engineering, but

technical where you are for sure going

to hear terms that you haven't heard

before if you're non-technical. And that

is purposeful. And it's purposeful

because our belief is that really high

agency people who are joining this

conversation and want to stay in the

frontier of this technology are going to

do the work to get those questions

answered. So I saw someone say like I

don't even know how to get a repo on

GitHub. I don't know what like you know

um exactly how an IDE works and what a

CLI is and all these things. So I didn't

know what any of these things were 10

months ago. I literally did not know any

of them. But if you one spend time in

this sort of conversation with people

also looking for the answers and

honestly with claude code there actually

is just no excuse now for for not

finding the answer to all these

questions

>> everything everything I talked about

today you can literally be like I don't

know how to do that like tell me how to

do this and it will walk you through

every part of that process. So

>> yep um cool. Okay so we're going to hop

in some questions. Um first question

from Tom Bab. Tom said you listed about

20 tools. How are you discovering them?

Google AI. Um, like where are you

finding the tools that you use?

>> Yeah, I I honestly it's like I've been

doing this. This is a terrible answer,

but I've been doing this so long I just

know where these things are. Um, the

like Twitter is Twitter and YouTube is

where all of this is happening right

now. Full stop. It's so funny because

like I'm not really active on LinkedIn.

Like I I'm it's it's a channel that I'm

really bad at. I'm just like not good,

not really built for the content that

like works there. Um, I'll see stuff

that went viral like 6 months ago on

Twitter and like that like has already

been adopted and implemented and like

basically like the arbitrage has been

exhausted and it will show up on

LinkedIn and it's just hilarious. So

like it it's it's kind of a cesspool

like full like full warning but like

that like where all this is happening is

largely on Twitter and like YouTube.

With that said though, honestly like

using a like if you're trying to solve a

problem like okay, how do I extract like

engagers out of uh you know like

LinkedIn posts, right? Like if you just

go to Perplexity and be like what are

the five best like tools for this? It's

going to give you examples of each of

those and then you'll be able to go and

implement those. And and honestly, I've

had Cloud Code like share stuff with me

where I was like, "Oh, I didn't even

realize that this was the solution that

would like be a better like for the

outcome that I'm looking for." So I I

think just like there's no there's no

rule book with this right now. There's

no like good educational material. It's

all just kind of happening in real time.

Like everything that I just showed you

has like transpired over the last two

weeks, right? Like that's crazy velocity

that this is basically moving at like

with currently.

>> Okay, we have a ton of questions in the

chat. I can just keep them rolling. Will

say

>> everything you've talked about today

seems like a tool for just you to use.

How do you think about deploying these

tools to a team for them to use as well?

>> Yeah. So what I just showed like that

can be a shared like a a piece of shared

software, right? So for example like the

bulk ad generator, you could just deploy

that like you could just literally put

that on a URL and then provide that to

your entire team or like how I see like

more sophisticated teams doing this is

they're like having a shared GitHub repo

and they're basically like as they make

changes to the codebase they like merge

that to the GitHub repo so everybody's

working on the same instance. Um,

there's multiple different ways that you

could go about that. It just depends on

like how sophisticated you wanted to be

like treating this as like a software

engineering activity or as like a I'm

just building internal tools and sharing

them with my team.

>> And again, you don't need to know how to

get your repo on GitHub or how to merge

a PR. You can literally just say I want

to share this with my team. What's the

best way to share it? It

>> will probably exactly

>> it's like cool. Here's this URL they can

now go to and you just deploy it onto I

don't even know what Purscell is, right?

But it sounds like they can access it.

So,

>> okay, next question from Kate. Do you

use this post on your owned channels or

do you just test on satellite accounts

uh and paid ads? How do you think about

quality control at scale? So, basically,

it's like if you're testing all these

different ads, do you worry about

knowing they're going to be bad ones

that you're testing on like your core

channel?

>> You could totally have that separation.

And then like basically like the the the

the paid ad spend for the winner is the

the um basically the the lens that you

you know that you sip through to then

move to your main. Um we do this a lot

with organic social where it's like I

have burner accounts that we're posting

ideas to and then once we find like

banger ideas, we'll then pull those over

and then put them onto mains. Um it just

depends on again the it it depends on

the situation of the organization that

you're in on how flexible they are with

like this type of uh uh this type of

testing. But I think if you go to them

and you're like we can create better

outputs like I need to be able to do

this like there's the conversation that

you can have and then proving that to

them like here's this KPI dashboard that

is showing you that I just decreased

like our CPA by 20% because I'm now

doing this like you know ad velocity

testing that we're talking about. So,

>> yep. Love it. Um, Eduardo asked, I'm

sure other people are wondering, can you

share again what is the process you use

in order to get the meta ad creative

done? So, can you just like almost just

go like step one through whatever step

of how you do that bulk upload?

>> Yeah, totally. So, so step one, um, I

would go to Claude and like I I would

basically be like, I want to build an

bulk ad generator. Here's an example of

an ad, like you know, square format that

I want to create. um like help me do

this. It'll lit like put it in plan

mode. It'll literally make a plan to

execute this. It'll ask you questions on

like how like variable do you want the

generator to be and then you like

literally that walks through. Imagine

like 10 minutes of you going back and

forth with it describing it. You hit go.

It will make that bulk generator.

[laughter] And then to redesign that um

uh that like piece of uh that like ad

creative. So like this is something

where we

having the language to describe the

thing that you're trying to describe is

the hardest part of this now. So for to

give you an example I have a co-founder

super technical like the depth of

knowledge he has and the language and

the vocabulary that he can use to

describe the outcome that he's looking

for is like so much deeper than I can

right so and to get to to to zoom this

out to give an example if I go to claw

and I'm like write a blog post about X

right it's going to write the most

average thing that you've ever seen but

in contrast if I interview myself say

I'm an expert at whatever this topic is

I'm going to like do a transcription

where I talk for 10 minutes. Like I just

monologue about the topic, my opinions,

my views. I use that as source material.

Then I also go scrape what's ranking on

page one of Google and I bring that in

as source material as well. I put both

of those into context and then I'm

write, okay, now write a blog post about

this based off of the content that I

provided. Use the source material as you

need. Use the vocabulary uh from the

transcript that I provided. the output

quality that I'm gonna get from that is

going to be like top, you know, 10 to

like what 10 to 1%, right? Like you're

gonna be finally in that and and it's

the same idea here. So when you're this

is the actual the hardest part like I

I'm act I'm actively doing this right

now. I don't have the design language to

describe what I'm trying to do with the

creative to create the out like the the

visual that I'm looking for. So like

something I just learned yesterday was

like, oh, you can talk about a grain

opacity. So you basically like overlay a

grain like SVG over the top of the

background and then I can put the

opacity levels at a different size to

basically create this almost like effect

where it feels like there's like texture

to it. And I was trying to tell it like

make texture, right? Like I I don't have

the language. And this is this is the

actual like hardest part of this is the

acquiring of that like domain knowledge.

And this is why people that already have

that domain knowledge that implement

this are so much more effective at using

this tooling. So

>> totally. And so just the to complete the

steps, the step was basically you have

cloud code build the bulk ad generator.

You give it an ad that uh you want to be

kind of the source material. Then what's

the next step after that?

>> Yeah. So give it the ad you want it to

be the source material. It's going to go

and make a variation of that ad. You

then go back and forth with Claude with

the changes that you want. And you can

just ask it be like, "Hey, this doesn't

feel super cohesive. The first version

that it did, for example, purple

background, like very like it looked

terrible, like tons of colors that

weren't on brand. I'm like, cool. Here's

our brand styled guides. Um, I want you

to like, you know, mimic this as much as

you can. How can we make changes to the

ad so that it fits this? I want I go

down that texture rabbit hole because

I'm trying to make it have like this

feeling of depth. So once I get that

that um the image to the quality that

like I want like the template to the

quality to the outcome that or the the

the template to the level that I want at

that point then I can say okay now I

want to like add a bulk generator to

this. I'm going to basically we're going

to change the title. We're going to

change the the um the paragraph. Um help

me brainstorm those ideas of like what

should be in here. Again I showed you

how to do that with perplexity and using

cloud. You could do that all within

cloud code. I was just, you know,

showing a different way to do the same

outcome. It's going to generate those

ideas. You can select the ones that you

think are the best and then you go and

do that bulk generation. Um, that whole

process again, like that's like 30

minutes of time to get that thing set up

that I just showed you how to do.

>> Love it. Last question for you. What

are, let's call it, the top five most

important tools you use in your stack

for doing what you do today?

Yeah, I think

it's it's it's I just try to keep it

simple and it's like literally like

on the most slept on. Okay, so just to

take a step back, I think the ability to

email like cold email people is so

underrated. Like I don't think people

understand like I can the the amount of

information that I can just like scrape

from the internet and then do bulk email

that's customized at scale. like just

having like a ton of domains or sorry a

ton of inboxes that are in instantly. So

we I for example I use hypertide.io for

all of my domain infrastructure. They

basically set up uh I have 2,000 inboxes

that I'm sending from um that I put into

instantly and then I'm just running like

multiple campaigns out of out of

instantly for whatever activities that

I'm trying to do. Right now we're

pitching me to go on podcasts. I'm

pitching YouTubers to basically like,

you know, do influencer marketing or

creator marketing for us and then I'm

also doing like traditional cold email

to our ICP. Um, I think that that is

something like having that ability to

just tap into that with like whatever

out out, you know, outbound you're

trying to do that's something that's

super powerful. Um, like again this clog

code like piece like I still do use

cursor some just for like small pieces

but my stack is basically clog code. all

of the uh all of the APIs that I work

with on a daily basis, I have that in

that environment file and then I'm like

living out of graph.com which is my

company for like all the analytics and

so like for example just to show people

like what this ends up looking like. So

we just started that campaign right of

like we're trying to go and basically uh

like track the outcomes of this like ad

creative that we just generated. I

basically was like build me a dashboard

about the adset with this ad set number

and I now have like spend I have

breakdown by the conversions I have like

where it's actually being shown on

platform. If I want to modify this or

change this in any way I just chat with

the dashboard. If I want to change the

chart style where I'm like change this

to a bar chart

it does this and then I can share this

internally with my team so that I can

actually create like you know basically

buyin from the organization that I'm

working at with. here's this KPI

dashboard that's actually showing the

outcomes that I'm doing based off of

this work that I'm doing. So anyways,

man, that's that's really it. I've try

to keep it as simple as possible. I

think people get obsessed with the

tools, get obsessed with the outcomes.

The tools are it doesn't matter anymore.

Like there's no limitation on the tools

and what you can get them to do. It's

the hardest part is knowing like what

should I be doing and then like how do I

polish that and measure like what is

actually working for my company. So

>> love it, Cody. This was awesome.

appreciate the time and uh look forward

to having you on again in the future.

But I think uh

>> thanks for having me. Everybody everyone

learned a ton.

>> Cheers.

>> Cool, man. Thanks everyone.

Yeah.