[00:01] are saying the same thing. The next wave of billion-dollar companies won't have 100 employees. They won't have 50 employees. They'll have one. One person using AI agents to do all the work. And if you do exactly what I teach you
[00:14] today, that could be you. I'm Dan Martell. I've built and sold multiple thousands of people building AI businesses, some to eight and nine-figure exits. And what's happening right now with AI is the biggest
[00:26] opportunity I've seen since early 2000s. So, in this video, I'm going to show you how to completely rethink growing a business now that AI exists, the exact AI business from zero to 10 million plus, maybe even billions, and how to
[00:41] get paid before you build anything. Let's start with rethinking business growth. Step number one, stop throwing bodies at problems. The traditional business model is have an idea, hire people, pay a lot of money
[00:54] in salaries, manage chaos, scale by adding headcount. The new model is completely different. The one-person AI business model, you start by first identifying the bottleneck, then you look for ways to automate it using AI,
[01:06] and the complexity shrinks as revenue grows. Your job in this new world of AI isn't to do the work, it's to design the system that does the work. Or as Elon Musk says, building the machine that runs the machine. In a one-person AI
[01:20] high-leverage decisions, not managing people's calendars. All right, so now growing your business, let me walk you through the exact steps to build things from scratch. Step number two, find a painful problem worth solving. The
[01:36] biggest mistake that AI founders make is they fall in love with the tech, not the problem. So, that's why we start with the pain, not the ideas. We fall in love with the customer's problems, not the product. Another way to think about it
[01:50] is you're looking for a must-have, something that people feel like I got to get this solved, not a nice-to-have, not a vitamin. We want to find the example, when I started my company Flowtown back in the day, I almost died
[02:04] because I sold to the wrong customer. I fell in love with the product and I want to use this software. It's so simple. It's a marketing tool. How could they not want more customers? So, I was selling to businesses that were hiring
[02:17] an agency when I should have been selling to the agency instead. So, solving. The first thing is you want to pick a growing market. AI automation in real estate, health care, coaching, all these industries right now are growing
[02:31] and they're in pain and they need somebody like you to come in with a better tool. Now, here's a pro tip. There's a AI tool called Manis. I would encourage you to ask Manis AI to do the research for you. Go through and analyze
[02:45] background and what you're passionate about and tell you where to start finding those painful problems to solve. If you don't know Manis, that's fine. By you exactly how to use it and it's simpler than you think. Number two is
[02:58] call to ask for advice. If you call to try to sell them something, you'll get advice. If you call for advice, you'll get a sale. If I try to approach them like, "You got this problem." Guess what they're going to do?
[03:12] gets you in the door. You understand your customer's problem and then you get solution. Which brings us to the next step. Number three is talk to at least 10 people. Help them design the initial specs with you and keep those contacts
[03:26] them again soon. The reason you start with painful problems is because their problems are probably already throwing money at. So, once you find a problem you're 80% of the way there. Now that you fully understand their pain, you
[03:39] need to make sure that you nail this next step. Step number three, solve the problem manually first. What we want to do is we want to fix the problem by hand before we automate anything so that we can get paid to
[03:52] essentially what we want to do is we want to start with the workflows, not about the features and it can do this and that. That's not where we start. We we code them. It's like my buddy Matt. He started a company called Precision.
[04:07] people to plug in their data for their business. It tells them exactly what to do to fix any problems that arise. The first version of this was not this complicated, coded, data-centric, automated AI thing. It was a
[04:21] he was able to talk to customers, validate their problems, create a group of early adopters, essentially simulate the whole product before he built anything. And this is a technical guy who already sold his company. When
[04:34] always say, "Do you know about crowdfunding? Do you know about Kickstarter, Indiegogo, consulting?" All of these modalities of people buying, they buy before they ever receive. So, now that we understand we
[04:47] got to solve the problem manually, we do need to sell a few people on the idea first. So, we have to draft a simple, done-for-you offer. Step one, we have to write a one-page offer and it follows a very structured format. We start with
[05:00] to resonate with. You got that from those interviews, those conversations. is the transformation they'll receive by using your product. The third part is the timeline. How fast can you get that problem solved using your software? The
[05:14] investment? And the fifth, to get them to buy without being scared, is the guarantee. What are you willing to commit to? So, for example, you might have an offer that sounds something like this. Stop losing customers. We'll clean
[05:28] the best next steps for your business in 30 days for 2,500 a month or your money back. Do you see how we had those five elements in that offer? The next thing customers we talked to in step one and present the offer to them. The best part
[05:44] learned from other people, so they'll get on that call, and then we can just they said to you, and you say, "Well, here's what we've developed, and we'd adopter program." Number three, once they buy, solve the problem manually
[05:59] first using simple tools. I'm talking like AI-powered simple tools like spreadsheets, a virtual assistant, or somebody else that you can convince to Matt did. First off, he helped them clean up the data. Then he pulled all
[06:12] their data into a CRM manually, cleaned it up in a spreadsheet, presented the scorecard the Precision automates today with the power of AI, and that's all he software. So, be just like Matt. I know a lot of you guys already have
[06:24] businesses and are wanting to implement AI into every department. That's why I created my AI implementation playbook that helps you integrate it in your business super simple. I'm talking sales, finance, marketing, all of it.
[06:36] message me the word AI business on Instagram, and I'll send it over. So, you solve the problem manually, and you're getting paid now cuz you got build something. But, hold on. Don't get
[06:49] fancy yet. Step four, build a clickable prototype. Disclaimer, it's [music] not a product. It's a fake solution. That's why it's called a clickable prototype. It doesn't work. It simulates it. Don't go and spend 50K building a full
[07:04] product. Trust me, people out there will take your money. Build a clickable actually work. We call this the Wizard of Oz. I've done this several times. I once built a company called Flowtown. We presented a bunch of people the product.
[07:18] What did we do? We validated that the customer understood their pain, that solution worked, that they were willing to pull out a credit card, and because on pause, so we just said that we had so much demand that the servers were
[07:32] them in a waitlist that eventually we could circle back and actually sell them the whole thing once the product was built. The idea is to test the product part today is there's tools that are AI-powered tools like Figma, UXpilot.ai,
[07:46] or Visily.ai to create mock-ups in seconds. And the truth is, and I say time, complexity kills more businesses than competition. So, we want to keep it experience. So, here's how you build your prototype. So, one, sketch the flow
[08:01] on paper. What does a user see? I know in the world of prompting you can get it to do that, but this is for you. This is for us to think about the flow and the that, take a picture of it, and then you can give that to an AI in the future.
[08:14] Second is use a tool like Visily.ai or Figma.com. You can literally describe what you want in plain English. Okay? So, if you can speak a language, you can screens for you. And then you can link them all together to create that
[08:28] clickable demo. And the third is now get in front of five new customers and record their reactions. Watch what they click. Pay attention to what they ask. That's a really important thing to learn before pay an engineer to go build
[08:41] something from scratch. The truth is, you'll learn more in five customer calls coding your prototype. So, now that you've got a prototype, and you can understand because you saw your customers react to it, great. But,
[08:54] here's the key. You need to get paid before you build the real thing. Step number five, build your MVP, your minimum viable product. The key is you don't want to overcomplicate it. What's the minimum amount of features that gets
[09:09] they're dealing with? Not every feature. You're not here to boil the ocean. The best one to start with. So, core features only. If you didn't know this, Facebook started with one college, and it did one thing, which let you know who
[09:24] was in your class. Amazon started with just books. You don't need to be everything to everyone. You have to be very specific in your problem solution example, I was building a product called Social Sweet, which takes all of my
[09:37] contacts, all of my followers, it adds data enrichment and AI enrichment and allows me to search it so I can really mine my network. And we were showing it started using it and all of a sudden the requests came in. People will come to
[09:49] you with custom reports they want, advanced user permission. My favorite label this for us so that your logo goes away and we can use it? But here's the deal. Don't get distracted by any one person. All we do is we write down the
[10:02] ourselves, will this impact 80% of our The answer is no, we say thank you, we'll let you know when we add that and is the easiest way to build your MVP without code. I'm going to grab my
[10:16] laptop and I'm going to walk you through it step by step and we're going to have some fun. First thing is go create an account for Manas.ai. So we load up Manas.ai and we're going to generate a full stack app from a single prompt and
[10:28] then we'll iterate from there. So what you want to do is select the develop you'll see it. You click the that. Then we go into the prompt. Now use this exact prompt template. It'll be in the description if you want to copy paste
[10:41] So essentially you have your core promise, example build a software gives them insights on the right next step that they should take in their talked about. And then we say only build the screens cuz we want to make sure we
[10:55] keep it simple. So one, the screen in the login, two, the screen two, which is the data input, screen three, output it insights. So if you've wireframed them, and you can add that as attachment if you have it, but it helps you keep
[11:08] authentication around your email and password. We keep the UI clean, minimal and most importantly fast, no extra features. We want to tell Manas, look at styling, no role permissions, no complexity settings, no admin
[11:22] dashboards. If something is uncertain, just [music] implement the simplest version. So then we run it. It's the future. I'll just fast forward this, but through and write the code. That's the CSS code, and then it's going to build
[11:35] keep doing it. It's going to build the database, and it's doing the whole So, you got the mobile. It's mobile-first. Like I said, treat it like talk to the person. You tell it to make it better, faster, simpler, and it can
[11:49] actually extrapolate what you're saying and implement those changes. Here's my big question to you. When AI can solve any problem, the problem to solve is knowing what problem to solve. And that is why I'm giving you very small
[12:03] aperture to execute, so you don't get yourself in your own way and solve the you just saw how you can have your minimum viable product in minutes, not months. And now it's time to go live. This is my
[12:16] to start hearing what's working, what's not, and that'll help you iterate and scale. Okay, so now you just saw how to successfully create the foundation for an AI business with one person. But, the final step is where most people
[12:30] are messing up, but you won't. Step number six, scale with AI agents, not headcount. I dare you to scale your business by possible. And AI can help you do that. Here's how
[12:45] I look at it. You're starting from scratch, okay? Zero to 100k. The truth getting good at the different skills, but you're using AI to help you move faster. Then we go up to the next level, you know, that 100k to a million. That's
[12:59] when you start building systems AI can run through automation. Maybe it's the onboard, maybe it's support, maybe it's operation, financials. Then you go to a million to 10 million. That's where you stack AI agents and workflow, and loop
[13:12] yourself in only for things that need your attention. Cool part is, if you need to learn this, you just ask AI to teach you. At Martel Ventures, where I spend most of my time, we launch a new AI company every 4 weeks,
[13:25] >> and we just launched a company that's already doing 83,000 a month in recurring revenue with just the founder and two part-time contractors. That entire business runs on workflows and AI agents. Essentially, the founder spends
[13:37] his time on strategy and sales, while everything else happens auto-magically. That is the future of business. Massive leverage with minimal head count. The days of bragging about how big your team is are gone. Now, it's bragging about
[13:50] how much revenue you make with the least amount of people. And look, I get it. This is a lot. But if you can follow these simple steps, you can build a real AI business from scratch, even if you don't know anything about AI, cuz it
[14:03] comes down to conversations with real people. You don't need an army. You just need a system, an AI-powered system, and the guts to do it differently. And as a reminder, if you want my internal AI implementation playbook, just DM me AI
[14:17] over to you. Now, if you want to learn how to get rich in the new AI era, click how to get rich in the new AI era, click here and I'll see you on the other side.