Dan Martell - If you’re trying to get rich with AI, you need to hear this…

00:00:00.000 AI is not going to make you rich. Not the tools, not the agents, not the prompts,

00:00:05.000 none of it. Whether you've made money with AI already or haven't made a single dollar with it,

00:00:09.720 I need you to hear this. I've skilled AI companies past a million dollars in under six months over

00:00:14.040 and over and over again. And I've seen exactly what makes people rich with AI and what keeps

00:00:19.180 them broke. So in this video, I'll be walking you through how to actually get rich with AI.

00:00:23.740 Point number one, stop selling the tool.

00:00:27.700 AI is just a tool.

00:00:29.620 It's like a database.

00:00:30.800 It's like an internet connection.

00:00:32.340 It's a thing.

00:00:33.260 Tools don't make people rich.

00:00:35.200 Think of it this way,

00:00:35.920 selling AI is like a carpenter selling hammers.

00:00:39.080 Selling a hammer doesn't make him much more money.

00:00:42.120 The carpenter who gets rich has a full toolkit.

00:00:45.980 It's the person who can solve real problems

00:00:48.140 by using all the tools.

00:00:50.120 Same with AI.

00:00:51.180 You don't need a tool, you need a toolkit.

00:00:53.720 that you know how to activate and the first tool the one to master right away is point number two

00:00:59.560 the hammer the hammer is like an llm an ai right you got claude you got chad gpt you got gemini

00:01:05.800 and it's cool it's powerful it can put a nail into this piece of wood but it is just a tool the most

00:01:12.600 basic and universal tool inner toolkit is the language model but it requires you to actually

00:01:17.960 know how to swing it have you ever met somebody can't even hold a hammer they're like i'm gonna

00:01:22.120 and I hit that nail.

00:01:23.060 It's like, you can't even get it to contact with the nail.

00:01:27.000 Amateurs with a hammer make more problems,

00:01:30.020 create more holes,

00:01:31.020 waste more resources than anything else.

00:01:33.260 A pro, have you ever seen these guys?

00:01:35.000 They like, it's almost like they have a nail

00:01:36.680 in their teeth or behind their ear

00:01:38.000 and they just go and it's down and it's down.

00:01:42.360 And you're like, how are you a real person?

00:01:45.360 And it's down.

00:01:46.300 You're lucky I don't have a nail right now.

00:01:47.700 I put it right through this wood. 1.00

00:01:48.980 LLMs are the same.

00:01:50.400 They're very easy to use like a hammer,

00:01:53.760 but it requires manual input.

00:01:55.800 It requires the mind, the fingertips to guide it,

00:01:58.580 to make it do something useful.

00:02:00.120 Most people are using these LLMs

00:02:02.140 like a fancy Google search to answer questions.

00:02:05.200 They type, they get answers, they copy,

00:02:07.520 they put in another system and they move on.

00:02:09.640 And their output most of the time is .

00:02:12.300 The way you fix that is having a prompting framework

00:02:15.320 and a strategy for using it.

00:02:16.860 And that's what I call the maps framework.

00:02:18.460 every great AI prompt follows this process.

00:02:21.900 The M stands for mission, that's the first one.

00:02:24.040 So you start with the outcome, not the task,

00:02:26.920 not the reason behind the task, give it direction.

00:02:29.520 Like, what are you trying to do?

00:02:30.760 The wrong way would be saying like, find me leads.

00:02:33.980 A better way would be I need 30 new customers a month

00:02:37.040 every month to hit my revenue target.

00:02:38.840 See how that becomes the mission?

00:02:40.760 The second one, which is the A, which stands for ask.

00:02:43.280 What is the task you needed to perform?

00:02:46.120 Now, this is where we get specific.

00:02:47.880 One clear request, not just like a bunch of ideas,

00:02:51.720 be clear as possible.

00:02:53.600 So bad would be help me with leads.

00:02:55.840 Good would be give me 40 qualified leads for my business

00:02:59.600 and include their email and their cell number.

00:03:02.420 It turns out the LLMs love to solve problems for you

00:03:05.980 if you're very specific about what you want.

00:03:07.940 The P in MAP stands for parameters, that's the third one.

00:03:11.220 What is the context?

00:03:12.720 What do you know about the mission?

00:03:14.400 What do you know about the ask, right?

00:03:16.380 Is it your ideal customer profile?

00:03:18.400 It's what's worked before.

00:03:19.760 The more you give it, the sharper the output.

00:03:22.760 So pro tip, if you've got a lot of stuff you wanna tell it,

00:03:25.760 I like to use voice.

00:03:27.020 I like to hit there, you hit that little button

00:03:28.780 to talk to it and you just talk and talk and talk.

00:03:32.040 I can talk three times faster than I can type

00:03:34.940 and so can you.

00:03:36.040 The S in maps number four is the shape.

00:03:39.380 What should the output look or sound like?

00:03:41.760 Tell it the format.

00:03:43.020 If you want it in a CSV spreadsheet,

00:03:44.920 Why would you copy and paste the output

00:03:46.720 and go put it into a spreadsheet?

00:03:48.300 Just tell it.

00:03:49.140 Do you want bullet point?

00:03:50.360 Do you want markdown file?

00:03:51.600 If you ever copy and paste something from one system

00:03:53.820 to another and the formatting goes away,

00:03:55.880 get it to do an ASCII, you're welcome.

00:03:57.680 Do you want the output to be conversational?

00:03:59.540 Do you want it formal?

00:04:00.420 How long do you want it?

00:04:01.840 All of those are specifics to the shape.

00:04:04.140 You can even give it a screenshot

00:04:06.480 of what you want it to look like.

00:04:07.920 Maybe you've seen something you like from somebody else.

00:04:10.020 Just copy it, paste it into your chat,

00:04:12.320 hit enter and watch it do its magic.

00:04:14.580 Just follow the maps framework

00:04:16.460 and watch that output come out dialed.

00:04:19.380 Now, most people ask at this point,

00:04:21.540 well, Dan, what's the best LLM to use?

00:04:23.960 Well, if you're a business owner

00:04:25.440 and you're looking to buy back your time using AI,

00:04:27.760 I created a full document with my whole AI tech stack

00:04:31.160 tailored specifically for business owners.

00:04:33.280 So if you want it, find me on Instagram

00:04:35.040 and DM me the word YouTube stack

00:04:36.960 and I'll send it right over.

00:04:38.280 So you now know how to use a hammer.

00:04:40.080 That's cool, but not every problem is a nail.

00:04:42.640 Which leads me to point number three,

00:04:44.520 the screwdriver.

00:04:45.540 The screwdriver is AI automation.

00:04:47.860 You think of like Cloud Cowork,

00:04:49.800 you think of N8N, Zapier, make.com.

00:04:53.200 Essentially, anytime you have a task

00:04:54.720 that has to happen over and over again,

00:04:56.740 you use a screwdriver.

00:04:57.960 That is way different than using a hammer.

00:05:00.720 Instead of manually prompting AI,

00:05:02.880 you can actually build a workflow

00:05:05.040 that once you set it up,

00:05:06.600 the AI can be super smart and be on a schedule

00:05:09.520 and repeat that task over and over again.

00:05:12.780 That's where you start getting massive leverage in your life.

00:05:15.820 And that is what people are willing to pay for

00:05:17.660 because it solves a bigger problem.

00:05:19.580 And the reason why it's more like a screwdriver

00:05:21.420 is because the solution is more permanent.

00:05:23.840 It's like if I have a screw and I need to put things together,

00:05:26.280 once I screw it in, it's not coming apart.

00:05:28.420 Like the whole point is for it to stay together forever.

00:05:31.360 And once you set up an automation, it's set it and forget it.

00:05:34.900 Set it and forget it.

00:05:37.520 For example, I get a report sent to me every Friday in Slack

00:05:41.020 that analyzes every call and every company

00:05:43.700 that I'm involved in from a sales point of view

00:05:45.600 that tells me how they're doing.

00:05:47.000 Happens every time, like clockwork,

00:05:48.700 and it keeps me on the pulse of the revenue.

00:05:51.000 Now, how do you know if a task is worth automating?

00:05:54.360 Well, that's what I call the rule of R.

00:05:56.300 One, is it repetitive?

00:05:58.280 Is it a task that you do at least once a week?

00:06:00.880 If you're doing it every week,

00:06:02.600 then you might wanna look at it

00:06:03.540 as an opportunity to automate.

00:06:04.440 And if you're doing it every day,

00:06:06.260 you're definitely needing to get yourself a screwdriver.

00:06:08.920 Number two, is it rule-based?

00:06:11.340 Does the task have the same set of inputs

00:06:13.760 and outputs every single time?

00:06:16.100 The third is, does it generate a return?

00:06:19.160 Does it save you more time to automate it

00:06:21.900 than it takes you to manually do it every time?

00:06:24.280 Because I'm telling you,

00:06:25.000 some people are automating, they shouldn't automate.

00:06:27.020 Don't build something that takes 60 hours

00:06:29.460 to build and automate only to save you two minutes a week. 0.92

00:06:32.640 If the answer is yes to all three of these R's,

00:06:35.420 then automate that.

00:06:36.120 now you got a hammer and a screwdriver of AI. Now this is where it gets really fun. What if AI

00:06:42.460 didn't just do tasks for you? What if it took over entire workflows? Point number four, the power

00:06:49.200 drill. The power drill is a gentic AI. If you haven't heard of things like OpenClaw, Manus, 0.99

00:06:58.780 if you've watched my videos, you've heard of it. Apex, one of my platforms, or even things like

00:07:03.000 perplexity computer. The hammer needs swinging. The screwdriver, you have to turn it, right?

00:07:08.780 The power drill, you just point it, pull the trigger, and it does the work. You're not doing

00:07:13.200 any of the heavy lifting. It's a power machine. You're setting the direction and letting the tool

00:07:17.620 take over. That's the power, see what I did there, of agentic AI. Agentic systems are supposed to

00:07:24.500 just do work for you. So if you want to build an app that helps you with your nutrition, you just

00:07:30.000 say, build me an app that helps with my nutrition, hit enter, and then it's done. Create a spreadsheet

00:07:35.700 that models this scenario, enter, and it's done. Real agentic systems can do multiple systems,

00:07:42.380 multiple workflows all over for you automatically. And it's a workflow that's complete, not a step

00:07:48.300 in a process. So think about it. You have like things that got to get done. Those are steps.

00:07:53.260 You have automation. Those are steps within a process. You still have to set up those

00:07:58.200 automations with agentic you just say here's the outcome i want and it just it does it and you don't

00:08:03.780 even know how it did it because it don't matter so i use apex one of our platforms to build a new

00:08:08.420 system called agent forge it looks at a research body of all this knowledge about what's the future

00:08:14.160 of ai and agentic platforms and operators and humans on the loop all the crazy stuff i'm in

00:08:18.820 and then identifies opportunities to build products then it creates the website creates the ad test

00:08:24.680 the whole thing, gets leads, even gets people to pay to be bumped up in the wait list to then

00:08:30.580 coordinate the recruiting of the people who are going to build that company and have them show

00:08:35.940 up in the product validated so we can launch it into the world. LLMs can't do that. Automation

00:08:41.400 can't do that. You need an agentic system to go end to end. If you want to start replacing your

00:08:46.440 workflows with AI agents today, this is what you got to do. It's called human on the loop.

00:08:52.120 Most people have heard human in the loop,

00:08:54.160 which is kind of like the automation screwdriver side

00:08:56.860 where you have like a bunch of different things going on,

00:08:59.080 but the human's still like kind of pushing things forward.

00:09:02.380 Human on the loop is the complete loop

00:09:04.760 is being done by an agent.

00:09:06.540 And then the human is just there to inspect what it expects.

00:09:09.480 No different than I have an employee that works for me.

00:09:12.180 And I'm just making sure that the thing

00:09:13.640 that I ask them to do is being done right.

00:09:15.460 Because if you've ever had long running tasks with agents,

00:09:17.880 it can start to have what's called context rot.

00:09:20.220 their brain stops working right,

00:09:22.560 so you need to show up, reset it,

00:09:24.640 and maybe give it some guidance.

00:09:26.300 So this is how we do it.

00:09:27.480 Number one, pick a full workflow.

00:09:29.980 I dare you to take a full workflow.

00:09:31.860 Idea to a completed output

00:09:33.360 and use that as your challenge workflow.

00:09:36.360 The second is go back and use the maps framework

00:09:39.040 to prompt your agent,

00:09:40.440 make sure it has the mission and the S,

00:09:42.280 the parameters and the shape

00:09:43.400 to actually get it to do what you need it to do.

00:09:45.320 The third step is once you get the output,

00:09:47.940 do not jump in.

00:09:48.720 I dare you not to touch it.

00:09:49.900 Whatever your impulse is to do once the thing is done,

00:09:53.840 I want you to challenge yourself to have the agent do it.

00:09:56.660 So if it's to share it with somebody,

00:09:58.420 maybe it's to review it to see if it's any good,

00:10:00.640 have the agent review its own work.

00:10:02.740 That is an advanced move

00:10:03.840 that most people don't even consider.

00:10:05.620 And the fourth is you gotta guide it.

00:10:07.400 See, most people try to tell the AI how to do the task

00:10:10.160 and it might know a way,

00:10:11.580 probably a hundred ways to do it faster, better.

00:10:14.140 So just guide it towards the outcome

00:10:16.340 and let it surprise you in its decisions

00:10:18.600 to getting the thing done.

00:10:19.580 some of you are too nice that's the problem and it's like confused it's like it said I was doing

00:10:23.640 good but then it's upset with me no just be like be better I trust you you do it and you'd be

00:10:31.000 surprised half the time it actually is like oh okay I'll just get it done and a pro tip is I have

00:10:35.680 separate agents that all they do is check the work of my other agents so I have like a coding critique

00:10:41.120 and every time there's code written it goes to the critique it writes a list of things to improve

00:10:45.780 send it back to the coder and it fixed the code it wrote based on the critique. Separate people,

00:10:51.260 just like humans. We have specialized knowledge. And if you have somebody that's like really good 1.00

00:10:55.400 at finding real estate deals, but somebody else that's really good at running the numbers on the

00:10:59.100 real estate deals, have those as separate agents and have this agent check its work.

00:11:03.140 So now you've got the whole toolkit, the tool for thinking, the tool for automating and the

00:11:07.240 tool that runs the entire workflow. Yeah. But remember, AI tools are not what makes you rich.

00:11:12.680 so what does point number five the orchestrator owning the toolkit actually isn't the win knowing

00:11:19.840 when and where to use it that's going to make you money see most people fail because they just bounce

00:11:24.660 between tools they're like oh my god i know how to use claw code oh my gosh i know how to use

00:11:28.060 nano banana oh my gosh i know how to use open claw cool what does it do what problem does it solve

00:11:33.940 see the orchestrator picks and chooses between all these three intentions and solves the right

00:11:40.140 problems. Problems make you money. Write it down, get the tattoo. Problems make you money. The bigger

00:11:46.680 the problems, the more money shows up in your bank account. And the only way you're ever going to get

00:11:50.640 rich is if you can sell the solution to somebody. How much would you pay for a hammer? 10, 15 bucks?

00:11:56.780 But how much would you pay a carpenter? They would come in and fix a massive leak in your roof and

00:12:01.900 change the whole roof without you lifting a finger. Now we're talking thousands of dollars,

00:12:06.400 $5,000, $10,000. See, the carpenter doesn't sell the hammer, the screwdriver, or the power drill.

00:12:12.620 They fix a problem, which is a massive leak in your roof and give you a new one. That's the

00:12:17.040 orchestrator. They use the entire toolkit to sell a solution. I see this happen all day long where

00:12:23.040 people are like, hey, we're selling this AI solution. Normally it would cost them $5,000

00:12:26.940 for this. We can do it for $500. And I'm having a hard time selling it. And I'm like, well,

00:12:31.460 if they're already used to paying $5,000, why don't you just sell the thing for $5,000? And

00:12:35.840 if you can do it for 500, keep the difference. I actually think most companies shouldn't even

00:12:40.720 bother saying it's AI. If you have a cheaper, faster, better way to do it, that's your benefit.

00:12:45.960 The customer doesn't care. They just want their roof fixed. When's the last time you asked your

00:12:50.660 carpenter, your plumber, your HVAC guy, what tool he used to do the thing? Now I know some of you

00:12:55.740 guys said, well, just yesterday, because you're a high fact finder, not talking to you. I'm talking

00:13:00.280 to normal people. And that's the thing. You have to be a director, not a doer. Actually teaching

00:13:06.020 yourself to stop doing so much and start using the AI to get the work done, that's where the

00:13:11.280 power comes in. And that's only when you start being rich. So stop chasing trends, stop trying

00:13:17.020 to add AI to everything and start solving real problems. That'll make you a lot of money. AI is

00:13:22.720 just like the internet. It's just like mobile. These are technologies. These are not ways to

00:13:27.840 make money. Always work backwards from the customer and go get paid. Drop a comment below and let me

00:13:32.960 know what tool are you going to add to your toolkit so you can level up and make more money. And

00:13:37.380 remember, if you want a full AI tech stack, DM me YouTube stack on Instagram and I'll send it right

00:13:42.340 over for free. And if you want to learn how you can get dangerously smart with AI, click here and

00:13:46.840 I'll see you on another side. Set it and forget it. It's like a chicken. No, it's a chicken air

00:13:52.560 fryer why is this such a dinky screwdriver this video will make you dangerously smart with ai

00:14:01.200 you're welcome you're welcome

Dan Martell - May 28, 2026

If you’re trying to get rich with AI, you need to hear this…

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