You’re not behind (yet): How to learn AI in 18 minutes — Transcript
Full transcript
- 0:00Believe it or not, you're not behind on
- 0:02AI, yet. Because the truth is, most
- 0:04people still don't understand how to use
- 0:07it well. By just watching this video,
- 0:09you'll know more about AI than 90% of
- 0:11the people out there. And if you make it
- 0:13all the way till the end, you'll be in
- 0:15the top 1% of all AI users. I've
- 0:17personally tested thousands of AI
- 0:19prompts across [music] every major
- 0:21platform, built dozen of custom AI tools
- 0:23for my own companies, and helped
- 0:25hundreds of founders turn AI into their
- 0:27most profitable team member. So, today,
- 0:29I'm going to show you how AI works, the
- 0:32fundamentals you need to use it, how to
- 0:34master it, and how to future-proof
- 0:36yourself so AI makes you a [music]
- 0:38weapon instead of replacing you.
- 0:39Starting with how it works. Essentially,
- 0:42you've got all the world's information.
- 0:44I'm talking videos, podcasts, documents,
- 0:47Reddit threads. And then AI analyze it,
- 0:49and then it did this mathematical
- 0:51equation. It broke all that text into
- 0:53[music] tokens, and then it tries to
- 0:55predict the most logical next token
- 0:57based on what you gave it. It's just
- 0:59like if you say, "Twinkle, twinkle,
- 1:01little," it's going to say, "Star."
- 1:03That's why most of the answers that come
- 1:05out of any chat AI have a lot of em
- 1:08dashes. It's not because AI likes em
- 1:10dashes, it's because humans like em
- 1:12dashes, and it's trying to replicate
- 1:14what it's seen us create. And this is
- 1:16why if you [music] give it really good
- 1:18information, the output is really good.
- 1:20Because it can use all that input to
- 1:23build context. [music]
- 1:24It's kind of like if somebody tells you
- 1:26all the details of a story and then ask
- 1:28you a specific [music]
- 1:28question, you're more likely going to
- 1:30get it right because you have all the
- 1:31details of the story. That's what AI
- 1:33needs to give you the best outputs, and
- 1:35that's where people fall short. The
- 1:37truth is, AI isn't magic. It's just
- 1:40pattern recognition with a fancy suit
- 1:42on. So, now that we've covered how AI
- 1:44works behind the scenes, we need to talk
- 1:46about the fundamentals and how you need
- 1:48to use it the right way. Starting with
- 1:50the right way to prompt. The more
- 1:51information you give it, aka the prompt,
- 1:54the better the output will look. Did you
- 1:56know you can give it like two, three
- 1:58books worth of information about your
- 2:00question before it even gives you an
- 2:02answer? Most people are giving it a text
- 2:05message. It's giving it nothing. And
- 2:07then you're expecting it to do magic. A
- 2:09few months ago I was working with a
- 2:10founder that built this really cool AI
- 2:12technology and he's working on the
- 2:13marketing. And he was having a really
- 2:15hard time getting the marketing to
- 2:17actually communicate what his product
- 2:19did. He spent like three weeks on it,
- 2:21iterating, going back and forth, trying
- 2:23to get the messaging right, trying to
- 2:25get the headline right, trying to get
- 2:26the copy right. All I did was sit down
- 2:28and I gave it the format I'm about to
- 2:30teach you and I hit enter. And within 12
- 2:33seconds it outputted the perfect plan,
- 2:36structure, and strategy for him to get
- 2:38his customers [music] to buy. It took
- 2:40less than 15 minutes to implement it on
- 2:41his website and all of a sudden he's
- 2:43converting that traffic into customers.
- 2:45What did I do different? Here's how it
- 2:47works. The first thing is the role. You
- 2:50got to tell it who to be like. It's kind
- 2:52of like act like a professional dancer,
- 2:54act like a killer musician. So all I did
- 2:57when I was helping my buddy to fix his
- 2:58prompt is said act like a world-class
- 3:01marketing strategist that focuses on
- 3:03conversion for software. What that does
- 3:06is it takes all the freaking information
- 3:09in the world that's all been cataloged
- 3:10and structured and it says, "Okay, out
- 3:12of all of this, only focus on this
- 3:14piece." And then with that it can then
- 3:17give you an answer that's very specific.
- 3:19If not, it just looks watered down. The
- 3:21second part to your prompt is the
- 3:22context. [music]
- 3:23I want you to give it all the background
- 3:25information. If you have marketing
- 3:28documents, you have transcripts from a
- 3:30call, you have any kind of standard
- 3:32specification, the more you can give it,
- 3:35it can use that in its little brain for
- 3:37that prompt to guide it in its output.
- 3:40The third is the command. You have to be
- 3:42very specific. Whatever you want it to
- 3:45do, tell it. Be very explicit. I always
- 3:48say make the implicit explicit when
- 3:50we're prompting. And the last the fourth
- 3:53is the format. Often times for me, I
- 3:55don't want these long, lengthy outputs.
- 3:58I want bulleted lists. I want it short
- 4:00and concise. I want it in a table
- 4:02format. I want it in a PDF. The format
- 4:05is how you take that output and then use
- 4:07it in other tools. You might want
- 4:08[music] to put it in a CSV so that you
- 4:10can import that into another tool, but
- 4:12if you don't tell it that, it's not
- 4:14going to know what format you want. If
- 4:16you do those things,
- 4:17>> [music]
- 4:17>> you will notice a complete difference in
- 4:20the output. I'll even go as nerdy in the
- 4:22format where I'll say, "Here's the
- 4:25format." Then give it a template [music]
- 4:27to follow, then hit enter, and it can't
- 4:30go outside of those parameters. The
- 4:32truth is is the quality of your output
- 4:34will never exceed the quality of the
- 4:36input to your [music] prompt. So now you
- 4:38know how to structure your prompt, but
- 4:40there's this other crucial step that if
- 4:42you don't know, you can't learn AI
- 4:44properly, which is you got to pick one
- 4:46tool and don't switch. The amount of
- 4:48people that come to me and they're like,
- 4:50"Hey, I'm using ChatGPT and Claude and
- 4:52Gemini and Grok." And I'm like, "Show me
- 4:54your prompts." And it's Crayola. It's
- 4:57simple. They haven't mastered the tool.
- 4:59Learning AI is like learning an
- 5:01instrument. If you tried to learn a
- 5:03little bit about the piano and the
- 5:04guitar and the drums all at once, you
- 5:05wouldn't be really good. But if you
- 5:07decided to pick one and you decided to
- 5:09be a master at it, the others become way
- 5:11easy after it because you understand
- 5:13music. You understand tone. You
- 5:15understand how to read sheet music. Same
- 5:17thing with AI tools. Pick one [music]
- 5:19and master it before you switch. Once
- 5:21you understand how one works, the others
- 5:23are way easier to pick up. And I will be
- 5:25honest, the people that keep switching
- 5:27tools all the time, I just call it
- 5:29procrastination. Masters go deep before
- 5:32they go wide. So know the tools, know
- 5:34which one's right for you, and go deep
- 5:35on it. So I've already mentioned the top
- 5:37three. Okay, we've got Claude, Gemini,
- 5:39and ChatGPT. I'm going to walk you
- 5:41through each one and tell you exactly
- 5:43which one does what best so that you can
- 5:45pick the right one for your current use
- 5:47case. So, for example, if you do a lot
- 5:49of writing, creative work, deep
- 5:51thinking, code, well, Claude's got
- 5:54everybody beat there. And it could
- 5:55change in a few months, but for right
- 5:57now, I'm telling you Claude's the one.
- 5:58The other one, if you do a lot of
- 5:59research, you need up-to-date
- 6:01information, you live inside of Google
- 6:03tools, you can't go wrong with Gemini.
- 6:05It is an incredible language model, and
- 6:07it's the one a lot of people that are
- 6:09like Google specific are using. GPT is a
- 6:11great one. It's the first one to get
- 6:13really popular, it's got a lot of
- 6:14integrations, can't go wrong with it.
- 6:16And before you start hammering me in the
- 6:18comments, I understand there's a bunch
- 6:20of others. I live my life on a site
- 6:22called Hugging Face, which is like the
- 6:23nerdiest AI community. So, don't tell me
- 6:27about Grok and all these Chinese models.
- 6:29I get that. I'm just telling it for most
- 6:31people that are like, "I'm ready to be
- 6:33[music] masterful at this so I can
- 6:34become a weapon." These are the three I
- 6:36would recommend. And by the way, if you
- 6:38choose to go towards ChatGPT, I've got a
- 6:40full freaking masterclass that I'll link
- 6:42at the end of this video that goes
- 6:44through everything to make you a pro.
- 6:46And if you're a business owner that's
- 6:48trying to break seven figures and you
- 6:49want to go even deeper, I've got an AI
- 6:51implementation playbook that is what I
- 6:53use in my companies to implement AI, and
- 6:56it shows you everything. Just find me on
- 6:58Instagram and DM me AI business, I'll
- 7:01send it over to you for free. So, here's
- 7:03the thing. If you made it to this point
- 7:05and you [music] feel like you've got
- 7:06everything covered so far, the cool
- 7:08part, you're in the top 10% of AI users.
- 7:11But, if you stick around and implement
- 7:13what I'm about to teach you, you'll be
- 7:14in the top 1%. So, let's talk about
- 7:17mastering AI starting with pull versus
- 7:19push prompting. This is where we get a
- 7:21little advanced, but it's fun. Come with
- 7:24me for the ride. Don't run away. This is
- 7:26going to be good. Most people use AI the
- 7:29hard way. They do 80% of the work, and
- 7:32they let AI finish the last 20%. That's
- 7:34push prompting. You're telling AI how to
- 7:37do the task. So, you want to go from
- 7:39push to pull prompting. And the way that
- 7:42it's different is that you start with
- 7:43the outcome and then you let AI figure
- 7:46out the best way to get there. Instead
- 7:47of doing all the work yourself, which
- 7:49you're doing today,
- 7:50>> [music]
- 7:50>> you let AI do the heavy lifting. The way
- 7:52I like to think about it is push is kind
- 7:55of like when you used to get directions
- 7:56from a friend when they're like, "Come
- 7:58to my house. Come over." And then they
- 7:59tell you you got to turn left at the
- 8:01house and then right at the church and
- 8:02then you'll see a red mailbox. That's
- 8:05how most people prompt. Pull is like GPS
- 8:08where you let the AI direct you based on
- 8:11the destination you've given it. So,
- 8:12here's how you use pull prompting. It's
- 8:14super cool. First, you give it the role
- 8:16and the context like you normally would.
- 8:17It needs to know kind of who it should
- 8:19act like and what's the information
- 8:21about the scenario. Second is you give
- 8:22it the outcome-based objective, right?
- 8:24This is where you tell it what you need.
- 8:26So, you might say, "I need a sequence
- 8:27that converts cold leads into booked
- 8:29calls, right?" Very specific. It's like
- 8:31the destination. Third, you say this,
- 8:34"Ask me all the questions you need for
- 8:37you to create this for me and then give
- 8:39it back to me in you can say the format.
- 8:41You might say PDF or a table. Then just
- 8:43[music] answer all the questions. My
- 8:45little trick there is I use the voice
- 8:46mode where I can just hit that little
- 8:48microphone and then answer cuz they
- 8:49might give you seven questions and I
- 8:51don't want to type that much. But you
- 8:52give it all the answers and then let AI
- 8:54do the work. Watch it cook. Now, you
- 8:57might say, "Hey, I need to refine this.
- 8:59Ask me more questions to make it more
- 9:00relevant." And it'll keep refining. So,
- 9:02you keep essentially using, that's why
- 9:04it's called the pull method, you keep
- 9:06having it pull from you exactly what you
- 9:08need and let it go find the solutions.
- 9:11This is how software programmers have
- 9:12been doing it for a while, okay? Most
- 9:14coders are sitting there and we're
- 9:16coding through outcomes. It's called
- 9:17spec-driven development. That's now
- 9:19becoming the mainstream for how you can
- 9:22prompt. Now, pull prompting is crazy
- 9:24powerful. But if you really want to
- 9:26master AI, you need to make it personal
- 9:28to you. So, number five, master prompts
- 9:31for every role in your life. The way to
- 9:34think about a master prompt is kind of
- 9:36like a manual about a part of your life.
- 9:39So, if there was like a manual called
- 9:40Dan CEO, what would be in that manual?
- 9:43If there was one called Dan father, what
- 9:45would be in that manual? Well, I would
- 9:46assume in they would have everything
- 9:47about me, my life, the people in my
- 9:49life, how things are structured, what we
- 9:51sell. When you have these master prompts
- 9:54and you use it to give it to the AI cuz
- 9:56you might switch to different ones, then
- 9:58it'll give you better answers cuz right
- 10:01now if you don't, it's not personalized
- 10:03to you. It's just giving you generic
- 10:05auto completion instead of something
- 10:07that is laser focused to your exact
- 10:09situation. And remember earlier when I
- 10:11talked about giving it context, this is
- 10:13the context. And if you do it once, you
- 10:16never have to do it again and it makes
- 10:18prompting so much easier and faster.
- 10:20Every team member in all my companies
- 10:22has to have a master prompt. They have
- 10:24to show it to me. I got to make sure
- 10:26it's complete. I just can't imagine that
- 10:28they're efficient chatting with AI all
- 10:30day long and it giving great answers if
- 10:33it doesn't have that. So, now let's
- 10:34create one for yourself. The first thing
- 10:36is we're going to practice pull
- 10:37prompting. You can say, "I want to
- 10:39create a master prompt for my role as
- 10:42whatever your role is in life, you know,
- 10:43father, husband, VP of marketing and ask
- 10:46me all the questions you need to create
- 10:48it for me." See how we're going to have
- 10:50it pull from me? Now, it's going to give
- 10:51you all these questions so they can
- 10:53create this document and that's where
- 10:55you use the voice-to-text feature
- 10:56[music] and just answer each one
- 10:58conversationally. And third, once AI
- 11:01gives you your master prompt, go through
- 11:03it and just refine anything that doesn't
- 11:05feel right. And you can literally just
- 11:06talk to it and say like, "Update this.
- 11:08Add this. You're missing that. You
- 11:09didn't understand this properly." And
- 11:11it'll literally update the whole thing
- 11:13for you. The last part is to save it as
- 11:15a PDF and I like to just call the master
- 11:17prompt and then the role name so I have
- 11:18them on my hard drive and that way when
- 11:20I'm using different AI tools, I can
- 11:23always upload it so that it has perfect
- 11:25context on my situation in life. The
- 11:27truth is if AI sounds like a stranger
- 11:29and anybody you have got that output,
- 11:31it's because you haven't introduced
- 11:33yourself. The master prompt is how you
- 11:34say, "Hello AI, this is who I am." The
- 11:37cool part is like I said, you can use it
- 11:39in other tools. I personally spend a lot
- 11:41of time in a tool called Manifold, which
- 11:43lets you create a genetic workflows.
- 11:45[music]
- 11:46And when I first loaded up the tool, it
- 11:48didn't know anything about me. So, I use
- 11:49my master prompt to give it all the
- 11:51context so that it could do outputs that
- 11:53were very personalized. If I had to like
- 11:55play with it and tweak it and talk to
- 11:57it, it would have just took me a long
- 11:58time. This gets an AI from stranger to
- 12:01best friend. So, now you get the master
- 12:03prompts. You have a way to give the
- 12:04context to the AI so that you guys are
- 12:06best friends. But, what if you're like
- 12:07trying to get an output and you like the
- 12:10output and you want to like repeat it
- 12:12and keep it consistent? This is where
- 12:14you need the next tool to master AI.
- 12:16Number six, system prompts. Think of a
- 12:19system prompt like a recipe and it has
- 12:22all the structure and you have the
- 12:23ingredients, but the sequencing matters.
- 12:25How you do what you do in the order will
- 12:27dictate if you have a big pile of mush
- 12:29or you have a beautiful chocolate cake.
- 12:30So, if you're chatting with the AI and
- 12:32eventually it gets an output that you're
- 12:34like, "Oh my gosh, this is great. Why
- 12:36did it take me 17 minutes to get to that
- 12:38output?" This is how you solve that
- 12:40problem. Understanding how to create
- 12:42system prompts is the future. [music]
- 12:44So, here's how you build a system prompt
- 12:45using what we've learned so far. First,
- 12:47you got to start by saying,
- 12:48>> [music]
- 12:49>> "You're an expert AI engineer. I want
- 12:51you to create a system prompt that does
- 12:54X. Ask me all the questions you need to
- 12:56create." See how I'm using the pull
- 12:57structure? Next, once it gives you all
- 12:59the questions, answer them using the
- 13:01voice-to-text feature, then test the
- 13:04response you get back. The third, if
- 13:06something needs to be tweaked, just tell
- 13:08it to refine it. It's literally you code
- 13:10system prompts with words. Once it's
- 13:12dialed in, then you copy that system
- 13:14prompt into a custom GPT or a cloud
- 13:17project or a Gemini gem. And then you've
- 13:19got a system that works for you on
- 13:22repeat without ever having to give it
- 13:23instructions [music]
- 13:24ever again. I use this for strategic
- 13:27work, I use it for research work, I use
- 13:30it to create systems for my team to
- 13:32follow where I can give them the link
- 13:33and say, "Look, just give it the topic
- 13:35and it'll do something for us." That way
- 13:37you take the complexity of AI and just
- 13:39make it really simple for everybody else
- 13:41to use. You're basically building little
- 13:43machines that take care of work for you
- 13:45so that you can focus on the fun new
- 13:46stuff. Now, here's a pro tip. A while
- 13:49ago, there was a leak. All the complex
- 13:52system prompts from the top AI tools,
- 13:54I'm talking Perplexity, Notion, Lovable,
- 13:56and 20 plus others were actually
- 13:58collected and put together. So, if you
- 14:00want to go see what the world's best
- 14:03system prompts could look like, just
- 14:05search system prompts and models of AI
- 14:07tools on GitHub on Google and you will
- 14:09find the link and you can go look at
- 14:11each one of them to understand how
- 14:13powerful these can be created to do
- 14:16literally anything for you, like build
- 14:19mobile apps or reconcile financial
- 14:21details. So, now you know how to use AI
- 14:24better than most people ever will.
- 14:26That's the truth. But, here's the thing.
- 14:28AI is evolving fast. I'm talking every
- 14:31day. And if you want to stay ahead, you
- 14:32need to make sure AI will never replace
- 14:35you. Which takes us to our last point,
- 14:37but the most important one, which is
- 14:39future-proofing yourself. Which comes
- 14:41down to taste, vision, and care. There
- 14:44are three things that when I sat back
- 14:46and I asked myself like, "What are the
- 14:47areas of human existence, of life, that
- 14:49I feel is going to be really hard to
- 14:51disrupt?" I feel like things like our
- 14:53taste for what is great and our vision
- 14:56for things that don't exist that should,
- 14:59or caring about other people. What a
- 15:01crazy idea. I really don't think that AI
- 15:02is going to be able to do that well.
- 15:04Simulate it, maybe, but I'm talking
- 15:06heartfelt, empathetic conversations.
- 15:08That takes you. Machines can optimize
- 15:11what already exists, but humans imagine
- 15:14what doesn't. First thing is taste. You
- 15:16got to immerse yourself in excellence.
- 15:17[music] I think of it like standing
- 15:19underneath a waterfall and allowing
- 15:21amazing, world-class things to be poured
- 15:24over me so that I might have the
- 15:25possibility of picking stuff up. So, if
- 15:28you're like massively interested in
- 15:30music, go subscribe and use your social
- 15:33media to learn music. If it's code,
- 15:35software, I want you to use your feed to
- 15:38feed your mind. Go and follow all the
- 15:40top people. Go subscribe to the
- 15:41newsletters. The more you consume the
- 15:43best in the world and you get to
- 15:45understand what greatness looks like,
- 15:47the better you build your taste. The
- 15:48second is vision. Schedule thinking
- 15:51blocks so that you can sit down and
- 15:52think about the future. Visualize
- 15:54concepts cuz your brain doesn't think in
- 15:56words. I don't know if you know this,
- 15:57but like if I say pink elephant, you
- 15:59just saw it. Okay? You didn't have the
- 16:00words written down in your mind. So,
- 16:02even just doodling, planning, exploring,
- 16:05reading books that'll expand your
- 16:07horizon, that gives you a sense of
- 16:09what's possible or maybe how the world
- 16:11should be shaped around you. And that is
- 16:13your job to shape the AI to help you
- 16:15with the vision. And the last one is
- 16:16care. And this is why I'm so bullish
- 16:19around AI doing all the boring and dirty
- 16:22and dangerous work for us [music] is
- 16:23then you get to celebrate your clients.
- 16:25You get to celebrate your team. You get
- 16:27to be with your family. You get to use
- 16:29it to create more cuz you were born to
- 16:32be a creator. Like that's what you're
- 16:33here to do. Then you have the time to
- 16:35collaborate with people authentically.
- 16:37Start thinking about ways you can get
- 16:39out in the world and show that you care
- 16:42and contribute and just connect with
- 16:44people. I really think that AI has
- 16:46enabled us to have this deep desire to
- 16:48be around other people. you see events
- 16:50having record number of people showing
- 16:52up and sold out in no time cuz we have a
- 16:54deep need for connection. Do these three
- 16:57things and AI will become your weapon
- 16:59instead of your replacement. Now,
- 17:01believe it or not, you're still early.
- 17:03So, stop panicking if that's where
- 17:05you're at. Most small businesses haven't
- 17:06even started using AI in a meaningful
- 17:09way. So, just by watching this video,
- 17:11you're already ahead of the game. So,
- 17:13here's what I need you to do. Just pick
- 17:15one daily task [music] and have AI do
- 17:17it. I don't care if it's move
- 17:19information from one system to another.
- 17:21Just 10 minutes [music] of action beats
- 17:2310 hours of tutorials. So, just leave me
- 17:25a comment and leave that commitment
- 17:27below. I want to know, what are you
- 17:28going to commit to to really upgrade
- 17:30your AI skills? And remember,
- 17:32>> [music]
- 17:32>> DM me AI business on Instagram if you're
- 17:35looking to grow your business and I'll
- 17:36send you my AI implementation playbook
- 17:38so you can scale [music] past seven
- 17:39figures. Like I mentioned, if you want
- 17:41the full ChatGPT masterclass to get
- 17:44ahead of 99% of the people, just click
- 17:46here and I'll see you on the other side.
About this transcript
This page contains the full transcript of You’re not behind (yet): How to learn AI in 18 minutes by Dan Martell, generated from the public captions YouTube serves with the video. The transcript has 3,828 words across 530 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.
What you can do with it
Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.
Free YouTube transcript tool
YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.