Watch me launch a million dollar startup with AI — Transcript

Forget vibe coding. Vibe marketing is printing millionaires faster than any time in history, and I'm going to teach you exactly how to do it. If you're new here, my name's Makayla, and after I sold my last startup, I started a venture studio called L7V. And in this video, I'm going to teach you our internal AI marketing playbook. This is everything we've learned from our fastest growing portfolio companies that we're also using to grow our own startups in-house. Like, this is it. It's the full sauce. So, just watch this entire video. It's free. And here's the kicker: you don't even need to write code. You don't even need to know AI. I'm giving you the exact prompts, the exact models, the exact tools on my screen. So, let's get started. So, the first thing you want to do when you're coming up with a business idea is to find proven evidence that a market for your product exists. The best way to do this is not to just stare at a wall and think, "Oh, what do people need?" It's to go look at research. Go look at evidence. In this case, we're going to shortcut a lot of that by using a free software called appmagic.rocks. You can sign up. I'm just using the free version, and I'll show you how I use it. So, here we've loaded, and you can see these are the top apps worldwide based on revenue and things like that. So, rather than just guessing, this allows me to see what businesses are already crushing it, so I can get inspiration for what I want to build. So, I'll go in, I'll choose some random settings. Let's say I want to do iPhone App Store and education in the US for the month of June. I look at the top grossing. Um, and I start to see some trends here. Like, oh interesting. Picture This, Plant Identifier, number two top grossing in the US on the App Store. Number nine, PlantNet Plant Identifier, also, you know, in the top 10 grossing apps in the US. I'm seeing some trends here, and you can see that this is actually growing. It's up two spots. So, clearly there's something going on here. So, I'm going to go in and click Picture This. And look at this app a bit more. So, I can see in the last 30 days, they've done more than 10 million dollars in revenue. Lifetime revenue looks to be over $500 downloads in the last 30 days over 2 million downloads. So, this is like a real business. I've never heard of this business. I've never seen this business before, but I can already tell you like these guys are crushing it. So, now I want to try to build something that is not going to be a one-to-one competitor of this, but I want to say this is a category that's hot. Can I create a new blue ocean in this hot category? So, I'm really liking what I'm seeing here. So, I'm going to see if I can build a blue ocean within this sort of plant identifier niche. So, to do this, I'm going to use Claude. You go to claude.com/download, click download for Mac OS. And when you open it, we'll get something like this. So, now I've got my Claude desktop app set up. We're actually going to go to code, although we are not going to be coding anything. Claude's going to be coding some things. We're going to be copying and pasting prompts. I'll try to explain what they do so that you can also learn from these. So, I've gone ahead and set this up as kind of like a brand new Claude instance. I don't want to bring any of those sort of workflows and bias that I'm normally using. I want this to be like from scratch essentially so I can do it live with you. All I've done is I've made this empty folder where we're going to be working and then we're going to start from here. So, now I'm going to go to our first prompt. I'm literally just going to copy and paste this into Claude and let it start working. And by the way, don't worry about writing down these prompts. We're just going to put them all for free on our website at l7v.com/ai. We'll have all the latest prompts so you can literally just copy and paste them, follow along. And the prompt basically says, "Hey, I want to build a competitor to this app and specifically I'm looking for a blue ocean in this category." So, I'm going to paste in the URL of the App Magic app that I found. It's going to have all the information. And that's it. I'm just going to send this in and let Claude start working its magic. Because we're giving Claude really good inputs in terms of data as well as structured ways that we want it to think about things, it can actually do a lot of the heavy lifting for us. So, you can see it's going to do the external research and then it's going to find some blue ocean ideas for us. And I've asked it for five because you still need to use human judgment in this process. It's going to give me five, and maybe I might look at that and say, "You know, I think this one will be the best." And that's going to be our next prompt once this finishes. All right, so you can see the research is coming in. It's done so much for me automatically because I've given it the right prompt. So, you can see it's already identified the market is $1.5 billion a year. That's in revenue for these apps, growing 8.8% year over year, so $2.9 billion by 2033. And it's even broken down all the apps, the business models, the whole thing. This used to take like weeks alone just for this research. And now it's giving me five different potential blue ocean ideas. The first idea that is just going to kill my pet or kid safety app. I don't love that idea. This is where the human judgment comes in. Looking through, we've got like a Shazam gamified outdoor AI garden designer. I like this one actually, and it's specifically why it went on social because you're going to have these amazing before and after transformations, which is, as it points, the single most viral content format, and we want things that are going to be really like organically viral as well as paid viral for our ads. So, I'm going to go with number three. So, again, literally going to the AI playbook, copy-paste the prompt in, and you can see like the prompt has everything you need. So, it says number blank. Sounds amazing. We're going to say number three sounds amazing. Take that and transform it into a full product spec, etc., etc., etc., and then save it in our documentation folder. Click enter. Claude's running again. I'd probably go grab a coffee at this point, check in with my wife, see how she's doing, and you know, just enjoy life. That's the whole point, right? AI does the work, we get to have a bit more fun in life. We shouldn't be glued to our desks just waiting on these AI models to do things. We can actually give them very intelligent prompts and then go get on with our lives. That's how we're operating at L7V and we're growing faster than ever by using these tools properly. All right, so our product spec is done. This is where human judgment comes in again. I'm going to click it. I'm actually going to read through. Okay, we've got the one-liner, we've got the strategic foundation, we've got the target users, look and feel, color palette, typography, visual style, core functionality. Everything is here, including the viral highlights, which we're going to use for our ads. So, just in like the seven minutes I've been doing this, I've already done honestly like weeks and weeks and weeks of work. And if there's anything that you want to change, you can just type to Claude and you can say, "Hey, you can say like, 'Hey, I like this, but maybe change XYZ and let's try,' etc." So, you're going to work with that a bit, get to a spec where you actually feel like, "Hey, this is a pretty sick product." All right, so no

venture studio called L7V. And in this video, I'm going to teach you our internal AI marketing playbook. This is everything we've learned from [music] our fastest growing portfolio companies that we're also using to grow our own startups in house. Like, this is it.

It's the full sauce. So, just watch this entire video. It's [music] free. And here's the kicker, you don't even need to write code. You don't even need to know AI. I'm giving you the exact prompts, the exact models, the exact

tools on my screen. So, let's get started. So, the first thing you want to do when you're coming up with a business idea is to find [music] proven evidence that a market for your product exists. The best way to do this

is not to just stare at a wall and think, "Oh, what do people need?" It's to go look at research. Go look at evidence. In this case, we're going to shortcut a lot of that by using a free

software called [music] appmagic.rocks. You can sign up. I'm just using the free version, and I'll show you how I use it.

So, here we've loaded, and you can see these are the top apps uh worldwide based on revenue and things like that.

So, rather than just guessing, this allows me to see what businesses are already crushing it, so I can get inspiration for what I want to build.

So, I'll go in, I'll choose some random settings. Let's say I want to do iPhone App Store [music] and education and the US for the month of June. I look at the top grossing.

[music] Um and I start to see some trends here. Like oh interesting. Picture This, Plant Identifier, number [music] two top grossing in the US on the App Store. Number nine, [music] PlantNet Plant Identifier, also, you know, in the top 10 grossing apps

[music] in the US. I'm seeing some trends here, and you can see that this is actually growing. It's up two spots. So, uh clearly there's something going on here.

So, I'm going to go in [music] and click Picture This. Uh and look at this app a bit more. So, I can see in the last 30 days, they've done more than 10 million dollars [music] in revenue. Uh lifetime revenue

looks to be over $500 downloads in the last 30 days over 2 million downloads. [music] So, this is like a real business. I've never heard of this business. I've never seen this business before, but I can already tell you like these guys are

crushing it. So, now I want to try to build something that is not going to be a one-to-one competitor of this, [music] but I want to say this is a category that's hot. Can I create a new blue

ocean in this hot category? So, I'm really liking what I'm seeing here. So, I'm going to see if I can build a blue ocean within this sort of plant identifier niche. So, to do this, I'm going to use Claude. You go to

claude.com/download, click download for Mac OS. [music] Uh and when you open it, we'll get something like this. So, now I've got my Claude desktop app set up. Uh we're actually going to go to code, although we are not going to be coding anything.

Claude's going to be coding some things. We're going to be copying and pasting prompts. I'll try to explain what they do so that you can also learn [music] from these. So, I've gone ahead and set this up as kind of like a brand new

Claude instance. I don't want to bring any of those sort of workflows and bias that I'm normally using. [music] I want this to be like from scratch essentially so I can do it live with you.

All I've done is I've made this empty folder where we're going to be working and then we're going to start from here.

So, now I'm going [music] to go to our first prompt. I'm literally just going to copy and paste this into Claude and let it start working. And by the way, don't worry about writing down these prompts. We're just going to put them

all for free on our website at l7v.com/ai. [music] We'll have all the latest prompts so you can literally just copy and paste them, follow [music] along. And the prompt basically says, "Hey, I want to build a competitor to this app and specifically

I'm looking for a blue ocean in this category." [music] So, I'm going to paste in the URL of the App Magic app that I found. It's going to have all the information. [music] And that's it. I'm just going to send

this in and let Claude start working its magic. Because we're giving Claude really good inputs [music] in terms of data as well as structured ways that we want it to think about things, it can actually do a lot of the heavy lifting

for us. So, you can see it's going to do the external research and then it's [music] going to find some blue ocean ideas for us. And I've asked it for five because you still need to use human judgment in this process. [music] It's

going to give me five, and maybe I might look at that and say, "You know, I think this one will be the best." [music] And that's going to be our next prompt once this finishes. All right, so you can see

the research is coming in. Uh it's done so much for me automatically because I've given it the right prompt. So, you can see it's already identified the market is $1.5 billion a year. That's in revenue for these apps, [music]

uh growing 8.8% year over year, so $2.9 billion by 2033. And it's even broken [music] down all the apps, the business models, the whole thing. This used to take like weeks alone just for this research. And now it's giving me five

different [music] potential blue ocean ideas. Uh the first idea that is just going to kill my pet [music] or kid safety app. Um I don't love that idea. This is where the human judgment comes in. Um [music] looking through, we've got like a Shazam

gamified outdoor, uh AI [music] garden designer. Um I like this one actually, and it's specifically why it went on social [music] because you're going to have these amazing before and after transformations, which is, as it points, the single [music] most viral content

format, and we want things that are going to be really like organically viral as well as paid viral for our ads. Uh [music] so, I'm going to go with number three. So, again, literally going to the AI playbook, copy-paste the prompt in, and

you can see like the prompt has everything you need. So, it says number blank. [music] Sounds amazing.

We're going to say number three sounds amazing. Take that and transform it into a full product spec, etc., etc., etc., and then save it in our documentation [music] folder. Click enter. Claude's running again. I'd probably go grab a

coffee at this point, uh check in with my wife, see how she's doing, [music] uh and you know, just enjoy life. That's the whole point, right? AI does the work, we get to have a bit [music] more fun in life. We shouldn't be glued to

our desks just waiting on these AI models to do things. We can actually give them very [music] intelligent prompts and then go get on with our lives. That's how we're operating at L7V and we're growing faster than ever by

using these tools properly. All right, so our product spec is done. This is where human judgment comes in again. [music] I'm going to click it.

I'm actually going to read through. Okay, we've got the one-liner, we've got the strategic foundation, we've got the target users, look and feel, color palette, typography, visual style, core functionality. Everything is here, including the viral highlights, which we're going to use for our ads. So, just

in like the 7 minutes I've been doing this, I've already done honestly like weeks and weeks [music] and weeks of work. And if there's anything that you want to change, you can just type to Claude and you can say, "Hey,

you can say like, "Hey, I like this, but maybe change XYZ [music] and let's try, etc." So, you're going to work with that a bit, [music] get to a spec where you actually feel like, "Hey, this is a pretty sick product." All

right, so now for our third prompt, we're going to actually take that product spec and turn it into mockups and screenshots [music] of our potential app that we can use for ads and for landing pages. To do this,

we're going to use another tool called Higgsfield, who's actually partnered with us on this video, so shout-out to them, give them some love. And we're going to be using Higgsfield to generate all of the visual assets for our

project. I really like Higgsfield because they let you use an MCP server, which connects Claude code to all of their tools, and they have all the latest models. So, as things evolve and change, [music] you're not updating your

workflow, you're just using the same Higgsfield connector, and then Higgsfield on their side is doing all sorts [music] of magic to make it happen. So, it just simplifies this whole process. So, to get it, go to higsfield.ai or we'll probably put a

link in the description to all the tools. After you've signed up, click MCP and CLI, uh and you're going to see here, there's going to be this copy-paste in the middle for the MCP.

We're going to copy that, and then we're going to go back [music] to Claude, and we are going to go to settings, and then you're going to click connectors. [music] From here, first you're going to click customize right

here, and then we're going to click add custom connector, type in the name so we know what it is, Higgsfield.

Copy paste that link, click add. It's going to check the connection. We're not connected yet, so we'll click connect.

It's going to load and authorize our account. And [music] I'm just going to click allow, and that's it. Go back to Claude, and now you can see Higgsfield is connected.

[music] And so now our Claude code has all these capabilities directly connected [music] to it, so we can use Higgsfield. Now that Higgsfield is set up, we can copy and paste its prompt and put it in. Now you can see here I'm specifying the

model, GPT image [music] 2 high quality, 2K resolution, etc. etc. These models are going to change, [music] and so again l7v.com/ai, the playbook we have there, we will keep up to date you have the latest [music] models automatically. You don't have to

worry about that. Anyways, let's click enter. And again, Claude is off to the races.

He's [music] running. Maybe I'll go grab another coffee. Maybe I'll do some stretching. Um this is going to take a little while cuz with GPT image 2 is the [music] highest grade model on the market right now, and so it's going to be using like

the best image generation possible to create these really sick product mockups. [music] Okay, this is crazy. Like look at this.

Just a few minutes we've built this full product [music] screenshot suite with sort of like viral before after moments.

Everything you need [music] to pre-sell this idea and see if you have a real business on your hands. Now if there's any that look off, look fake, or maybe like it's hallucinated a bit too much, you can go in, give it some feedback,

and tell it to regenerate that image. But for [music] now, I'm just going to run with these and go to the next step.

And now the next step is the most critical because it's one thing to build these product ads and these mockups and things like that. You're kind of just having fun in AI if I'm being honest.

The next step is [music] when it becomes real. You need to actually pre-sell this idea to customers and see what people actually pay for this. And so to do that, we're going to build a landing page. And we're just going to use

[music] one copy-paste prompt from the AI playbook, drop it in, and you're good to go. So, we're going to copy-paste this in.

[music] Um basically, what this prompt does is it says, "Use those graphics images and the product spec to build a highly converting landing pages using [music] best practices um for mobile-friendly app sign-ups." And what this is going [music] to do is it's going to build a

landing page that's going to have a little quiz at the end. And at the final step, they're going to give us their email address. And it's even going to build a little dashboard so we can see the submissions and see like what people

are saying they want or don't [music] want. So, let me click enter. We're going to start building our landing page. Now, while this is running in the background, I'm going to go ahead and do the next step, which is to set up the

Meta Ads Manager. [music] So, I'll go ahead and create an account. And then once I have that account, I'm going to create a conversion pixel. So, the reason we want to set up Meta Ads and set up this event pixel is Meta is

extremely good at finding the right people that will buy your product [music] and using their own internal AI to target them and bring them to your page. But you need to give Meta some feedback on if it's finding the right

people or not. And so, what we're doing is we're setting up this event pixel so that if Meta successfully [music] finds a person who would sign up for your product, we're going to tell Meta, "Hey, good job. You found that." And

it's going to be like, "Oh, based on who I just found, I'm going to go find more people like that." And so, we're not only using our AI to build all this out, but we're also using Meta's massive internal AI system to quickly

identify the right kind of people to buy our product and then go find more of them. So, it's extremely powerful and [music] builds this self-recursive loop where the AI just learns how to find customers for you profitably. And all

you have to do is set up this event pixel. And then the next prompt, we're actually going to add it [music] to the landing page. So, to do that, all you have to do is go to Events Manager, uh

click connect data. [music] We're going to say web. Next. And we're going to create a new data set. I'm going to call this Verda landing page lead [music] submit uh because Verda is the name that Claude came up for the app

and I'm not going to change it for now. So, uh click create and then for setup I'm going to click set up manually.

Click next. Uh conversion API and Meta Pixel is fine. Click next. And then click finish.

[music] I don't actually need to do this because I'm going to have Claude do this using the MCP server. So, to set up the Meta Ads MCP server, I'm actually just going to Google it [music] and find the URL that I'm going to paste

into Claude. Claude is still building the landing page, so we're going to do this while Claude's still running. Uh [music] click customize.

And then we're going to click connectors and click the plus and we're going to add a custom connector and we're going to call this Meta Ads. [music] And I'll copy paste that and click add.

And then just like last step, we're going to click connect. And it'll run us through the prompts to allow us to connect [music] Meta Ads MCP to our Claude instance. So, click connect. And now you can see all

these different things that Claude can do with Meta. [music] Uh so, let's check in on our landing page.

Uh you can see this is looking really nice. Um there are some [music] things here that again, this is where human judgment comes in. I would not launch with this sort of like 12,000 plus on wait list, loved by 12,000 future plant parents.

[music] These sort of things, it's very important. I get why it's doing it. Um to me it's just not [music] authentic.

We're not going to do this and lie. So, I'd rather give it some feedback and say, "Hey, let's remove the like fake social proof and things like that. Let's just be honest with where we [music] are. These are like fake reviews."

Again, I get why it works. Um it's just I I just don't feel good about that. So, that aside, um let's take a look at this. Like we have working [music] drop-downs. Um does our get early access work? It does. Um [music]

this is sick. So, uh let me click get early access. Let's test it out. I'm a man [music] in my mid-30s now. Uh let's see, I'm transforming my balcony.

[music] I kill every plant I touch. Um, five bucks a month feels fair. [music] Um, I'll give it my email address. Fake email at gmail.com. Claim my early access spot.

You're on the waitlist. I kind of like this. [music] I do like the like you're in line, share with a friend. This is sick. So, like this is already really awesome.

It said that it built a dashboard, so let's go check that out as well. That's the prompt it tells it to build a dashboard.

What is my login? [music] Um, see? Look at this. The prompts do everything for you, guys. [music] You just have to plug this in and you're golden.

So, paste [music] that in. Um, and we can see like this is me. This This is I kill every plant I touch. That's me.

So, [music] um, this is working. Like this is Again, this is weeks of work done in I think we're four or five prompts in. Anyways, let's go to the next prompt.

All right, so for the next prompt, we just need to add that pixel in so that when we run Meta Ads, Meta knows when people [music] actually submit this page. So, copy-paste.

Um, I've created a new Meta conversion pixel. I gave it the name. [music] Set up our landing page that it only fires when we capture the email address of the final step. So, I'll click enter.

Uh, and it's going to set that up. It's going to test it itself and it will report back to us when it's done.

And just like that, it set it up. The prompt handled everything perfectly. It set up the pixel. It validated it with Meta MCP. It checked it. It doesn't fire unless we capture that lead and put them on the waiting list. Everything we're

looking for. So, now let's get to the next step, which is [music] pure magic.

We're going to use the landing page, the product images, the product spec, brand guidelines, and what's called the Higgsfield Marketing Studio. So, the Higgsfield Marketing Studio is essentially Higgsfield has taken all of the best performing ad styles such as

UGC ads, before-after ads, video ads, [music] and it's made them into templates. So, you don't have to think at all. You literally just take this prompt, put it in, and we're going to generate ads for our product [music] based on the

best-performing ad styles. So, let me copy this prompt in. The prompt actually generates 20 ads for our campaigns.

Um for the sake of time for this video, I'm going to change it to five.

[music] Uh we're using the Hicksfield Marketing Studio. That's key. And we're saving all these to a local subfolder called marketing assets.

[music] Uh GPT image two for images and seed dance 2.0 for video assets. Those are the best today, but again, l7v.com/ai [music] will keep that updated so you always know the best models.

Click enter, [music] and off to the races. And so, Cloud's off to the races.

While it's doing that, we're going to sign up for another free tool called Vercel, which is where we're actually going to deploy our landing page.

Because right now, only we [music] can access this landing page. You want it to be publicly available. So, to do that, we're going to go to vercel.com, click [music] sign up. Uh we can just do it with Google.

And we're going to choose personal projects. It's going to be a personal hobby plan, [music] so that we're not paying for this. Uh I'll call it l7v.

Click continue. Now, once you've made your Vercel [music] account, you want to do one more step, which is you're going to go to up here and you're going to type in tokens.

Click this, and [music] we're going to create a new token. Uh give it a name. We'll just call it uh Verta.

Scope, we'll give it access to our projects [music] and we'll let it expire in 1 day. And we have to do this so that the AI can actually deploy our landing page to a live website. So, click create. For now,

[music] just copy this and put it away. We'll use it in a few minutes. And then one more thing we're going to need is the Vercel MCP server. So, I'm just going to Google Vercel MCP. Click here.

Uh this is the URL, so I will copy that. Go into Cloud. Go back to customize.

[music] Click connectors. Click the plus. Add custom connector. Call it Vercel. We're [music] going to drop that in. Click add.

And now I have to connect it again. So, click connect. [music] Uh we're going to select our project.

Click add, and then click [music] allow. Once this is done, it'll redirect us back to Cloud, which it has done.

And we're set up to deploy our landing page. So, as you can see, Higgsfield is still generating the ads. We're going to get a little fancy here, guys. We're going to do another [music] session in parallel while it's still generating the

ads. I'm going to click new session. And here I'm going to deploy that landing page. Because we're in the same folder that we've been working with, the landing page is already built in this.

It already knows that it's going to be deploying to Versel. So, we can do that.

So, all I need to do now is copy-paste this prompt [music] in uh use the MCP connector for Versel to deploy this landing page to my account, test the pixel, and you remember [music] that token that we created earlier, we paste

it here so that it can actually deploy this live to our Versel. [music] Click send. That's off to the races.

It's deploying to Versel. And then while it's doing that, I'll check in back on the ads.

[music] All right. So, check this out. We've got our ads using the Higgsfield Marketing Studio like a then verse now or comparison table, even a before-and-after reveal using Seedance 2.0. If anything's off, you can recreate [music] these, you can give feedback.

And this is just scratching the surface. I mean, if I wanted I could predict the virality of these. Higgsfield has a lot of very cool marketing-specific [music] tools, more than I'm going to cover in this video, but you should definitely

explore it a bit cuz it's really powerful. [music] All right. And check this out. While our ads were generating, our landing page is now done.

[music] So, I can click this. And check this out. We now have a live webpage on Versel. And yes, it's versel.app with sort of a a funny [music] URL, but in our own testing, we're running this playbook ourselves like I said, uh this

actually [music] converts. People don't seem to mind that you're sending them to a versel.app page. Of course, it would be better if we bought a domain, but [music] we're getting conversions just sending them to Versel. So, uh don't let

that stop you. Just keep running this. And speed is the name of the game here.

[music] All right. So, now the landing page is all done. We're going to go back to the session that generated the ads and we're going to give it a prompt [music] that's going to take all of the ads that it

just created and upload them to Meta [music] and set up the campaigns for you so that it's optimized based on the lowest cost per sign-up in your target [music] geography. In this case, I've set the target market to be USA

and I'm just linking it to [music] our live landing page because we built that in another session just so that it has perfect context of where to send it to.

And when it's all done, it's going to save it and then let me know so I can manually inspect the ads in the ad center [music] and publish.

So, send that prompt off and let it do its thing. All right. So, just like that, the AI ads [music] are done. They're uploaded in the ads manager. It's even linked me to it, so convenient. And check this

out. I can click in. I can look at the different ads. Look, they're set up properly. They're going to the right landing page. [music] They have the conversion tracking. Like, I can't I've been doing this stuff for a

long time. This is insane. How quickly we've been able to build this with just a few copy-paste prompts ready to go.

This is madness. I genuinely believe if you are not taking advantage of this, you are being left behind by the guys that are. We've done all of this with literally nine prompts [music] and it's basically built out an entire business

plan, product road map, product images, and now we have a live validation. Live validation in terms of getting people that say [music] they actually want what you are building is the best way to run this playbook. Set a dollar budget that

is comfortable for you to lose every day and see no returns because right now it's much cheaper for you to validate people will buy what you're building than [music] build it and then hope they will buy. So, that's why we run this

playbook with these pre-sale pages to see if people actually want what we're building and then we can of course [music] use AI coding to build it and get it out to live customers. But now there's one more prompt that takes

[music] this to another level because it makes this whole thing self-improving. And this is the prompt. And what this does is it goes into your Meta Ads account and it pulls the highest performing ads [music] based on what's working, lowest cost per

conversion, and then iterates on those ideas using the Higgsfield [music] Marketing Studio. So, you could run this every day, every couple days, where you're actually taking what's working, trying out new ideas around that, sending out new tests, and over time you

get better and better and better and just these effects compound. This is the new AI marketing playbook. This is how the fastest-growing companies that we are seeing on the planet are growing.

You can literally just implement this today, copy-paste, and get [music] going. So, that's a taste of AI marketing and how you can start using it today, but there are so many more things to actually build a real multi-million

dollar business than just this little playbook. So, I'm going to put a link over here to another video that we did that explains [music] how to actually go from zero to real multi-million dollar business with live paying product and customers. Hope it

helps.