Claude Code Replaced My 20-Person Marketing Team (Here's How)

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. On this episode of Human

this episode. 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 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

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

>> Yeah. on whether this was like possible to do or not basically, which I thought hilarious. So,

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?

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

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

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

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

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

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

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

>> 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

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

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

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

>> 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,

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

engineer. It's just the tooling and like the activities they're doing are the exact same. Like if I look at my

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

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

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

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

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

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 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

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

stack. And this is what I'm about to show today. So what I've done now is

show today. So what I've done now is I've cded or I basically moved into this directory. So uh documents/graphthrowth

directory. So uh documents/graphthrowth agents and then I'm going to start cloud. I'm just going to assume that you

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.

>> 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

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

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

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

actually components. So if I was like to zoom in on this in hover, this is like react components. So this is code. So

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

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

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

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

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

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

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

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

out. Again, you could use, you know, you could use Claude, you could use chatgbt for this. This is just what my workflow

for this. This is just what my workflow looks like. I would then go to Claude

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

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." 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

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

send. So while this is working at this point I would spin up another uh workspace. So, I'd go then to documents

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

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

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

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

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

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

this? Like why am I making all these variations? I I don't know what's going

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

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

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

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

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

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

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

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

zips. Um, uh, add these, uh, to the bulk page. Just say for/bulk.html

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

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

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

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,

cheap cost. So, for these landing pages, I already have a template that that exists. Um, and all I want to do is

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

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

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

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.

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

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

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

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

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

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

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,

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

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

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

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

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

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

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

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

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

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

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

>> 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

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

generator. So it's going to pull all of these out. It's going to extract these,

these out. It's going to extract these, right? I can take every one of these

right? I can take every one of these keywords. I'm going to download them

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 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

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

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

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

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

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

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

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

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

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

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

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.

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

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.

>> Watch my account's going to get nuked after this. So, give me one second. But,

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

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

campaign. Let me know if you have any questions. So, at this point, I'm then

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, 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

>> 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

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

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

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

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

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

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

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

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

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

it. where it's now as things can run in parallel. The only way to work is going

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

>> 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

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

outbound emails. And there's one other API key. What's million verifier?

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,

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

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

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

them. So these are the like the levels of the game that you can play with this basically. So

basically. So >> and anything so we have about 10 minutes left. Is there anything else you want to

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 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 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

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

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

months ago. I literally did not know any of them. But if you one spend time in

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?

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,

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

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

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

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

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

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

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

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

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

this. It'll lit like put it in plan mode. It'll literally make a plan to

mode. It'll literally make a plan to execute this. It'll ask you questions on

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. 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.

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

provided. Use the source material as you need. Use the vocabulary uh from the

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

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

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

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

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

this tooling. So >> totally. And so just the to complete the

>> 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

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

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. You could do that all within cloud code. I was just, you know,

cloud code. I was just, you know, showing a different way to do the same outcome. It's going to generate those

outcome. It's going to generate those ideas. You can select the ones that you

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

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

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

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

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.