Dan Martell - May 28, 2026


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


Episode Stats


Length

14 minutes

Words per minute

209.23784

Word count

2,943

Sentence count

180

Harmful content

Hate speech

4

sentences flagged


Summary

Summaries generated with gmurro/bart-large-finetuned-filtered-spotify-podcast-summ .

Transcript

Transcript generated with Whisper (turbo).
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
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