Dan Martell - How to Build a $10M Solo AI Business (Zero Code)

00:00:00.000 All the biggest AI experts in the world are saying the same thing.

00:00:03.200 The next wave of billion-dollar companies won't have 100 employees.

00:00:06.780 They won't have 50 employees. They'll have one.

00:00:09.740 One person using AI agents to do all the work.

00:00:12.840 And if you do exactly what I teach you today, that could be you.

00:00:16.160 I'm Dan Martell. I've built and sold multiple software companies.

00:00:19.040 I've coached thousands of people building AI businesses,

00:00:21.760 some to eight- and nine-figure exits.

00:00:23.600 And what's happening right now with AI is the biggest opportunity

00:00:26.960 I've seen since early 2000s.

00:00:28.840 So in this video, I'm going to show you how to completely rethink growing a business now

00:00:33.660 that AI exists, the exact six-step process to build a one-person AI business from zero

00:00:38.340 to 10 million plus, maybe even billions, and how to get paid before you build anything.

00:00:43.580 Let's start with rethinking business growth.

00:00:46.060 Step number one, stop throwing bodies at problems.

00:00:49.680 The traditional business model is have an idea, hire people, pay a lot of money in salaries,

00:00:55.420 manage chaos, scale by adding headcount.

00:00:57.620 the new model is completely different. The one person AI business model, you start by first

00:01:02.560 identifying the bottleneck. Then you look for ways to automate it using AI and the complexity

00:01:07.320 shrinks as revenue grows. Your job in this new world of AI isn't to do the work. It's to design

00:01:13.480 the system that does the work. Or as Elon Musk says, building the machine that runs a machine.

00:01:19.380 In a one person AI business, you spend time on high leverage decisions, not managing people's

00:01:23.940 calendars. Alright, so now that you understand how to think about growing your business, let me walk

00:01:28.440 you through the exact steps to build things from scratch. Step number two, find a painful problem

00:01:34.960 worth solving. The biggest mistake that AI founders make is they fall in love with the tech, not the

00:01:41.220 problem. So that's why we start with the pain, not the ideas. We fall in love with the customer's

00:01:46.720 problems, not the product. Another way to think about it is you're looking for a must-have,

00:01:52.540 something that people feel like I got to get this solved, not a nice to have, not a vitamin.

00:01:58.340 We want to find the painkiller problems in the market. For example, when I started my company

00:02:02.540 Flowtown back in the day, I almost died because I sold to the wrong customer. I fell in love with

00:02:07.820 the product and I thought every small business is going to want to use this software. It's so

00:02:11.700 simple. It's a marketing tool. How could they not want more customers? So I was selling to

00:02:16.500 businesses that were hiring an agency when I should have been selling to the agency instead.

00:02:20.920 So here's how you find a pain worth solving.

00:02:23.220 The first thing is you want to pick a growing market.

00:02:26.380 AI automation and real estate, healthcare, coaching,

00:02:29.700 all these industries right now are growing really fast

00:02:32.100 because of this technology and they're in pain

00:02:34.460 and they need somebody like you to come in

00:02:36.080 with a better tool.

00:02:37.180 Now, here's a pro tip.

00:02:38.580 There's an AI tool called Manus.

00:02:40.320 I would encourage you to ask Manus AI

00:02:42.320 to do the research for you.

00:02:44.320 Go through and analyze and come back to you

00:02:46.440 based on your background and what you're passionate about

00:02:48.300 and tell you where to start finding

00:02:50.320 those painful problems to solve.

00:02:52.340 If you don't know Manus, that's fine.

00:02:54.280 By the end of the video,

00:02:55.080 I'm gonna show you exactly how to use it

00:02:56.680 and it's simpler than you think.

00:02:58.120 Number two is call to ask for advice.

00:03:00.820 If you call to try to sell them something, you'll get advice.

00:03:03.440 If you call for advice, you'll get a sale.

00:03:05.860 If I try to approach them from a sales point of view

00:03:08.460 and try to be like, you got this problem,

00:03:10.500 guess what they're gonna do?

00:03:11.960 Hang up on me.

00:03:12.860 Ask for advice, it gets you in the door,

00:03:14.680 you understand your customer's problem

00:03:16.460 and then you get the opportunity

00:03:17.740 to present them your solution.

00:03:19.020 Which brings us to the next step, number three,

00:03:20.620 is talk to at least 10 people.

00:03:22.540 Help them design the initial specs with you

00:03:25.260 and keep those contacts written down

00:03:26.780 because we're gonna need them again soon.

00:03:28.280 The reason you start with painful problems

00:03:30.180 is because their problems

00:03:31.300 are probably already throwing money at.

00:03:33.340 So once you find a problem

00:03:34.380 people are already doing that with,

00:03:36.040 you're 80% of the way there.

00:03:37.660 Now that you fully understand their pain,

00:03:39.820 you need to make sure that you nail this next step.

00:03:42.140 Step number three, solve the problem manually first.

00:03:46.120 What we wanna do is we wanna fix the problem by hand

00:03:49.200 before we automate anything

00:03:51.020 so that we can get paid to learn the steps and the process.

00:03:54.860 So essentially what we wanna do

00:03:55.800 is we wanna start with the workflows, not the features.

00:03:58.560 And I know you get excited about the features

00:04:00.200 and it can do this and that.

00:04:01.260 That's not where we start.

00:04:02.100 We gotta understand the steps first before we code them.

00:04:04.720 It's like my buddy, Matt.

00:04:05.740 He started a company called Precision.

00:04:07.300 It's this powerful platform

00:04:08.700 that allows people to plug in their data for their business.

00:04:11.140 It tells them exactly what to do

00:04:12.860 to fix any problems that arrive.

00:04:14.360 The first version of this was not this complicated, coded, data-centric, automated AI thing.

00:04:20.700 It was a spreadsheet.

00:04:21.800 And with that spreadsheet, he was able to talk to customers, validate their problems,

00:04:25.760 create a group of early adopters, essentially simulate the whole product before he built

00:04:30.500 anything.

00:04:31.620 And this is a technical guy who already sold his company.

00:04:34.640 When people argue with me on this point, I always say, do you know about crowdfunding?

00:04:38.360 Do you know about Kickstarter, Indiegogo?

00:04:40.040 consulting all of these modalities of people buying they buy before they ever receive so now

00:04:46.780 that we understand we got to solve the problem manually we do need to sell a few people on the

00:04:50.960 idea first so we have to draft a simple done for you offer step one we have to write a one-page

00:04:57.180 offer and it follows a very structured format we start with the problem that's what they're

00:05:01.680 going to resonate with you got that from those interviews those conversations the second is the

00:05:05.840 promise, which is what is the transformation they'll receive by using your product. The third

00:05:10.200 part is the timeline. How fast can you get that problem solved using your software? The fourth is

00:05:14.840 the price. What's the investment? And the fifth to get them to buy without being scared is the

00:05:19.860 guarantee. What are you willing to commit to? So for example, you might have an offer that sounds

00:05:24.820 something like this. Stop losing customers. We'll clean your database and give you insights for the

00:05:29.980 best next steps for your business in 30 days for $2,500 a month or your money back. Do you see how

00:05:35.920 we had those five elements in that offer? The next thing is we got to call back those 10 customers

00:05:40.140 we talked to in step one and present the offer to them. The best part is they're excited to hear

00:05:45.660 what we've learned from other people. So they'll get on that call. And then we can just reaffirm

00:05:49.740 that they have those challenges and you remind them what they said to you. And you say, well,

00:05:52.960 here's what we've developed. And we love to have you part of our early adopter program.

00:05:56.300 Number three, once they buy,

00:05:58.280 solve the problem manually first using simple tools.

00:06:01.280 I'm talking like AI-powered simple tools

00:06:03.420 like spreadsheets, a virtual assistant,

00:06:05.720 or somebody else that you can convince to help you out.

00:06:08.180 Here's an example that Matt did.

00:06:09.760 First off, he helped them clean up the data.

00:06:11.780 Then he pulled all their data into a CRM manually,

00:06:14.740 cleaned it up in a spreadsheet,

00:06:16.100 and then presented the scorecard

00:06:17.440 that Precision automates today with the power of AI.

00:06:19.840 And that's all he did.

00:06:20.640 And he made money without any software.

00:06:22.420 So be just like Matt.

00:06:23.340 I know a lot of you guys already have businesses

00:06:25.120 and are wanting to implement AI into every department,

00:06:28.060 that's why I created my AI implementation playbook

00:06:30.460 that helps you integrate it in your business.

00:06:33.320 Super simple.

00:06:34.080 I'm talking sales, finance, marketing, all of it.

00:06:36.760 So if you want a copy of that,

00:06:38.020 just message me the word AI business on Instagram

00:06:40.360 and I'll send it over.

00:06:41.440 So you solve the problem manually

00:06:43.320 and you're getting paid now

00:06:45.040 because you got those sales done,

00:06:46.280 but now it's time to build something.

00:06:47.780 But hold on, don't get fancy yet.

00:06:49.620 Step four, build a clickable prototype.

00:06:53.240 Disclaimer, it's not a product.

00:06:55.120 It's a fake solution.

00:06:57.320 That's why it's called a clickable prototype.

00:06:59.800 It doesn't work.

00:07:00.640 It simulates it.

00:07:02.000 Don't go and spend 50K building a full product.

00:07:05.320 Trust me, people out there will take your money.

00:07:07.440 Build a clickable prototype that looks real,

00:07:09.820 that doesn't actually work.

00:07:11.020 We call this the Wizard of Oz.

00:07:12.680 I've done this several times.

00:07:14.000 I once built a company called Flowtown.

00:07:15.760 We presented a bunch of people the product.

00:07:18.340 What did we do?

00:07:19.160 We validated that the customer understood their pain,

00:07:22.340 that they wanted it solved the way our solution worked,

00:07:24.520 that they were willing to pull out a credit card.

00:07:26.980 And because we had nothing billed,

00:07:28.300 we had to put them on pause.

00:07:29.500 So we just said that we had so much demand

00:07:31.320 that the servers were overloaded.

00:07:32.780 And that allowed us to keep them in a wait list

00:07:34.780 that eventually we could circle back

00:07:36.000 and actually sell them the whole thing

00:07:37.300 once the product was built.

00:07:38.360 The idea is to test the product

00:07:39.980 before you even build anything.

00:07:41.660 The cool part today is there's tools that are AI-powered,

00:07:44.400 tools like Figma, UXpilot.ai, or Visily.ai

00:07:48.080 to create mock-ups in seconds.

00:07:50.360 And the truth is,

00:07:50.960 and I say this to my coaching clients all the time,

00:07:52.980 complexity kills more businesses than competition.

00:07:55.360 So we wanna keep it simple.

00:07:56.580 We need to simulate the experience.

00:07:58.640 So here's how you build your prototype.

00:08:00.420 So one, sketch the flow on paper.

00:08:02.720 What does a user see?

00:08:03.840 I know in the world of prompting,

00:08:05.560 you can get it to do that, but this is for you.

00:08:07.820 This is for us to think about the flow and the diagram.

00:08:10.860 And the cool part is if you do that,

00:08:12.200 take a picture of it,

00:08:13.000 and then you can give that to an AI in the future.

00:08:14.800 Second is use a tool like Visily.ai or Figma.com.

00:08:18.540 You can literally describe what you want in plain English.

00:08:21.860 Okay, so if you can speak a language,

00:08:23.500 you can get it to prototype

00:08:24.720 and it'll build the screens for you.

00:08:26.280 And then you can link them all together

00:08:27.560 to create that clickable demo.

00:08:29.700 And the third is now get in front of five new customers

00:08:33.000 and record their reactions.

00:08:34.940 Watch what they click, pay attention to what they ask.

00:08:37.980 That's a really important thing to learn

00:08:39.640 before I go pay an engineer

00:08:40.780 to go build something from scratch.

00:08:42.380 The truth is you'll learn more in five customer calls

00:08:45.700 than in five weeks of sitting there coding your prototype.

00:08:48.380 So now that you've got a prototype

00:08:49.720 and you can understand

00:08:51.280 because you saw your customers react to it.

00:08:54.040 Great, but here's the key.

00:08:55.840 You need to get paid before you build a real thing.

00:08:59.580 Step number five, build your MVP,

00:09:01.940 your minimum viable product.

00:09:04.380 The key is you don't wanna overcomplicate it.

00:09:06.640 What's the minimum amount of features

00:09:08.600 that gets them some value

00:09:10.240 around the problem they're dealing with?

00:09:11.600 Not every feature.

00:09:12.840 You're not here to boil the ocean.

00:09:14.020 The simplest version of your tool

00:09:15.860 is the best one to start with.

00:09:17.580 So core features only.

00:09:18.700 If you didn't know this, Facebook started with one college

00:09:21.760 and it did one thing,

00:09:23.240 which lets you know who was in your class.

00:09:25.280 Amazon started with just books.

00:09:27.280 You don't need to be everything to everyone.

00:09:29.580 You have to be very specific in your problem solution

00:09:32.260 for a very specific customer.

00:09:34.020 So for example, I was building a product called SocialSuite,

00:09:36.320 which takes all of my contacts, all of my followers,

00:09:39.280 it adds data enrichment and AI enrichment

00:09:41.340 and allows me to search it so I can really mine my network.

00:09:44.480 And we were showing it to customers and they loved it.

00:09:46.620 They started using it.

00:09:47.540 and all of a sudden the request came in.

00:09:48.960 People will come to you with custom reports they want,

00:09:51.640 advanced user permission.

00:09:53.200 My favorite one is white labeling.

00:09:54.680 Could you white label this for us

00:09:55.920 so that your logo goes away and we can use it?

00:09:58.460 But here's the deal.

00:09:59.300 Don't get distracted by any one person.

00:10:01.480 All we do is we write down the request

00:10:03.420 and then we ask ourselves,

00:10:04.400 will this impact 80% of our users today?

00:10:06.820 Is it something they want?

00:10:07.800 The answer is no.

00:10:08.700 We say, thank you.

00:10:09.540 We'll let you know when we add that

00:10:11.160 and you get back to business.

00:10:12.460 Here's the easiest way to build your MVP without code.

00:10:16.180 I'm gonna grab my laptop and I'm gonna walk you through it

00:10:18.640 step by step and we're gonna have some fun.

00:10:20.940 First thing is go create an account for Manus.ai.

00:10:23.780 So we load up Manus.ai and we're gonna generate

00:10:26.000 a full stack app from a single prompt

00:10:28.800 and then we'll iterate from there.

00:10:30.320 So what you wanna do is select the develop apps feature.

00:10:33.120 It's at the bottom there, you'll see it.

00:10:34.520 You click that, then we go into the prompt.

00:10:36.720 Now use this exact prompt template.

00:10:39.700 It'll be in the description if you wanna copy paste it,

00:10:41.780 but let me show you how that looks.

00:10:43.300 So essentially you have your core promise,

00:10:45.140 example, build a software product that cleans up someone's data and gives them insights on the

00:10:48.900 right next step that they should take in their business. These are part of the offer we talked

00:10:52.000 about. And then we say only build the screens because we want to make sure we keep it simple.

00:10:56.700 So one, the screen and the login. Two, the screen two, which is the data input. Screen three,

00:11:02.480 output and insight. So if you've wireframed them, you can essentially just screenshot that and you

00:11:06.380 can add that as attachment if you have it, but it helps you keep yourself focused. And then we have

00:11:10.040 the authentication, run your email and password. We keep the UI clean, minimal, and most important

00:11:15.120 fast. No extra features. We want to tell Manus, look at this, make it functional with basic

00:11:19.840 styling. No role, permission, no complexity settings, no admin dashboards. If something

00:11:24.080 is uncertain, just implement the simplest version. So then we run it. It's the future.

00:11:28.940 I'll just fast forward this, but you can see it. Build the logo and go through and write the code.

00:11:33.600 That's the CSS code. And then it's going to build the front end code and it's going to keep doing

00:11:37.040 it. It's going to build the database and it's doing the whole thing. And that shows you the

00:11:40.860 interface. So you got the mobile. It's mobile first. Like I said, treat it like an intern.

00:11:44.740 Pretend it's a person, you talk to the person,

00:11:46.780 you tell it to make it better, faster, simpler,

00:11:49.080 and it can actually extrapolate what you're saying

00:11:51.140 and implement those changes.

00:11:53.040 Here's my big question to you.

00:11:54.960 When AI can solve any problem,

00:11:57.200 the problem to solve is knowing what problem to solve.

00:12:00.740 And that is why I'm giving you very small aperture

00:12:03.820 to execute so you don't get yourself in your own way

00:12:06.680 and solve the wrong problem at the wrong time.

00:12:08.720 So now you just saw how you can have

00:12:10.240 your minimum viable product in minutes, not months.

00:12:13.440 and now it's time to go live.

00:12:15.880 This is my favorite part

00:12:16.900 because now you're gonna start hearing what's working,

00:12:19.440 what's not, and that'll help you iterate and scale.

00:12:22.000 Okay, so now you just saw how to successfully create

00:12:24.560 the foundation for an AI business with one person,

00:12:28.120 but the final step is where most people are messing up,

00:12:31.420 but you won't.

00:12:32.120 Step number six, scale with AI agents, not headcount.

00:12:36.880 I dare you to scale your business

00:12:39.900 by adding the least amount of people as possible.

00:12:43.440 and AI can help you do that.

00:12:45.000 Here's how I look at it.

00:12:46.420 You're starting from scratch, okay?

00:12:48.220 Zero to 100K.

00:12:49.840 The truth is you're doing everything, okay?

00:12:51.780 You're getting good at the different skills,

00:12:53.280 but you're using AI to help you move faster.

00:12:55.940 Then we go up to the next level,

00:12:57.420 you know, that 100K to a million.

00:12:59.060 That's when you start building systems

00:13:00.900 AI can run through automation.

00:13:03.080 Maybe it's the onboard, maybe it's support,

00:13:04.720 maybe it's operation, financials.

00:13:06.320 Then you go to a million to 10 million.

00:13:08.800 That's where you stack AI agents and workflow

00:13:11.900 and loop yourself in only for things

00:13:14.620 that need your attention.

00:13:15.680 Cool part is, if you need to learn this,

00:13:17.220 you just ask AI to teach you.

00:13:19.320 At Martell Ventures, where I spend most of my time,

00:13:22.060 we launch a new AI company every four weeks.

00:13:25.660 And we just launched a company

00:13:26.900 that's already doing 83,000 a month in reoccurring revenue

00:13:30.080 with just the founder and two part-time contractors.

00:13:32.980 That entire business runs on workflows and AI agents.

00:13:36.280 Essentially, the founder spends his time on strategy

00:13:39.000 and sales while everything else happens automagically.

00:13:41.900 That is the future of business. Massive leverage with minimal headcount.

00:13:46.140 The days of bragging about how big your team is are gone.

00:13:49.100 Now it's bragging about how much revenue you make with the least amount of people.

00:13:53.020 And look, I get it. This is a lot. But if you can follow these simple steps,

00:13:57.900 you can build a real AI business from scratch, even if you don't know anything about AI,

00:14:03.340 because it comes down to conversations with real people. You don't need an army.

00:14:07.260 you just need a system an ai-powered system and the guts to do it differently and as a reminder

00:14:13.500 if you want my internal ai implementation playbook just dm me ai business on instagram and i'll send

00:14:18.460 it over to you now if you want to learn how to get rich in the new ai era click here and i'll see

00:14:23.260 See you on the other side.

Dan Martell - March 12, 2026

How to Build a $10M Solo AI Business (Zero Code)

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