WEBVTT

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So when you think about AI, really think about

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it. How many of us truly tap into its real power?

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I mean, beyond just, you know, typing a quick

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question into a chat bot. Are we really using

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it like the powerful instrument it's meant to

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be? Or just... scratching the surface. It's kind

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of like most people get handed this incredible

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Stradivarius violin, right? A priceless instrument.

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And they just make a screeching noise with it.

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They treat the AI like a stranger every single

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time. But then there's this small group, the

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masters, who are making it absolutely sing. And

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the result, they're freeing themselves up to

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do like 92 % less of the grunt work. That difference,

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that productivity shift, that's really what we're

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digging into. And that exact idea. Unlocking

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that kind of radical efficiency, that's precisely

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what we're exploring in this deep dive. Welcome,

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everyone. We've gathered insights from, well...

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all sorts of places, articles, some research,

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our own experiences, and we're unpacking a sort

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of blueprint, a way to become what you might

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call an AI power user. Our whole mission here

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is to help you transform something like ChatGPT

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from a generic tool into your own personalized

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expert assistant. Exactly right. We're going

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to lay out seven fundamental hacks. And listen,

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these aren't just small tips. They're systematic

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techniques, things that will genuinely help you

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move from maybe struggling with basic queries

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to really mastering advanced AI. And you'll probably

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find it's surprisingly straightforward to get

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ahead once you see the path. Okay, so let's unpack

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this first one then. To really use AI professionally,

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like truly leverage it, the first step, the foundation,

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seems to be getting ChatGPT Pro trying to do

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serious work on the free tier. Well, the source

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material compared it to running a modern e -commerce

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site on dial -up. It called it a self -imposed

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handicap. Now, I get that, especially for professional

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use. For someone just starting out, maybe just

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curious, is there still some value in the free

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version? Or is it really pro or bust if you're

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serious? Look, if you're serious about professional

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output, getting consistent, high -quality results,

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it's pretty much pro or bust. Because not just

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about speed, though it is faster. The real impact

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of getting pro is laying that solid foundation.

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Without it, you're not just slower. You're actually

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locked out. Locked out of the essential tools

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that let you achieve real AI mastery. Getting

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pro is kind of like signaling to yourself, okay,

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I'm moving past just playing around. I'm serious

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now. It opens up efficiencies you literally can't

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get otherwise. It's a totally different beast

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from the free version. You get that faster processing,

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priority access when things get busy. But critically,

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you get the advanced features. Things like Canvas.

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Think of it like a collaborative whiteboard inside

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the AI. And custom GPTs. Those are your specialized

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AI assistants. And project folders like dedicated

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memory banks for big projects. key for the other

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hacks we're going to talk about. Plus, you know,

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higher usage limits, getting the latest models

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instantly. Honestly, it's a tiny business expense

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for what you get back in productivity. Huge return.

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So the core idea is unlocking those crucial advanced

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tools and also making that professional commitment

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signaling you're serious about it. Precisely.

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It's step one, the essential first step for genuine

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AI mastery. Okay. So once you've made that investment

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in pro, the next step is about making the AI

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truly yours, right? Getting past that default.

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Well, AI amnesia. Which brings us to hack number

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two, creating your master prompt. And I have

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to admit, I still wrestle with prompt drift myself

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sometimes. You know, that feeling like you're

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starting from square one every single time. It's

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like chat GPT just forgets who you are between

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chats, which naturally leads to really generic

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results. What's your biggest frustration with

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that? And how does this master prompt fix it?

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Oh, the biggest frustration from easily the wasted

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time. Just the sheer inefficiency of having to

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re -explain my context, my business, my role.

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Every single time. It's a math of time sake.

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The master prompt. It just completely solves

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that. It's like giving the AI a comprehensive

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briefing document. It's DNA for interacting with

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you. And the really clever part here is the AI

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-powered interview strategy. Instead of you struggling

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to write this big, complex thing yourself, you

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actually get the AI to interview you to build

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it. There's even a magic prompt example. It's

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simple. You are a world -class business consultant.

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I need you to create a comprehensive master prompt

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for my role as the CEO of your company. To do

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this, you must first conduct a thorough interview

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with me. Ask me all the questions you would need

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about my company, my role, my values, my preferences.

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Once you have all my answers, you'll use that

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to create the final detailed master prompt for

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me to save as a PDF. Begin the interview now.

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And the AI will just... systematically walk you

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through it ask about your company your specific

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job your core values how you like to communicate

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your goals everything and there's a great tip

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in the source about using your phone's voice

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to text for answering those interview questions

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makes it much faster feels more natural and probably

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captures your authentic voice better too and

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the payoff this one -time investment maybe 20

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minutes maybe 45 it can save literally hundreds

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of hours down the line once the ai generates

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that final prompt you save it as a pdf that becomes

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your universal context file. You just upload

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that PDF at the start of any important new chat

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or project and bang, the AI instantly transforms.

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It becomes this personalized expert consultant

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who already knows you, knows your context. Yeah,

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it fundamentally changes the game. It turns a

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generic tool into a deeply personalized expert

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assistant that gets your unique situation right

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from the start. It really is a huge leap. Okay,

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so now the AI knows who you are. The next logical

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step seems to be teaching it how to work on specific

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things you do regularly. And that leads us straight

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into hack number three. Creating system prompts.

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These are different from the master prompt, right?

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Master prompt is who you are. System prompts

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are what? Exactly. They're different. System

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prompts define how the AI should behave for a

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specific repeatable task. Think of them like

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your secret recipes or maybe magic spells. They

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get you consistent, powerful results for tasks

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you do over and over. This is where you tell

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the AI how to act, like act as a super persuasive

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sales copywriter or act as a meticulous technical

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debugger. OK, so job descriptions for the AI,

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basically. How do you create these effectively?

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Well, the source highlights a really smart method

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called reverse engineering. It's clever. You

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start by just asking the AI for a rough version

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of what you need. Maybe your first draft of an

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email or some ad copy ideas. Then you work with

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it. You chat back and forth, refining, editing,

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tweaking it until that output is absolutely perfect,

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exactly what you wanted. And then comes the magic

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step, right? The meta prompt. That's the one.

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You then tell the AI something like, OK, analyze

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that final perfect output we just created together.

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Now I need you to write the detailed expert level

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system prompt. The prompt that would have generated

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this perfect output on the very first try. So

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for instance, one person used this to build a

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book architect prompt. Took about two hours of

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refining to get the perfect book chapter outline.

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Then they used that meta prompt, reversed engineered

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it, and ended up with this incredibly powerful

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system prompt. Now that prompt can take basically

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any public figure's work and generate a whole

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research -based book outline in their voice in

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minutes. Not ours. Wow. Turning a one -off success

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into a reusable tool. And just a little side

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note. Sometimes, you know, if the AI is being

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a bit stubborn or, let's say, uninspired, some

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prompt engineers actually play around with adding

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a sort of playful threat into the prompt. Like,

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if you don't generate this perfectly, you'll

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be put on a server and shipped to Russia. It's

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kind of tongue -in -cheek, part of the prompt

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engineering lore. But it shows how people are

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always pushing the boundaries, trying to get

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the best possible result. Huh. A slightly intimidating

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approach. So, okay, probing question. What makes

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reverse engineering so powerful for these system

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prompts? It transforms that one -time creative

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success, that moment of brilliance, into actual,

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valuable, reusable intellectual property. It

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captures your insight. Got it. Valuable and reusable.

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Okay, moving on to hack number four, project

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folders, or as you called them, the AI memory

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palace. This tackles two big problems, doesn't

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it? One, the AI forgetting everything in new

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chats. And two, just our own human brains being

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a bit scattered sometimes. Product folders seem

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to solve both by giving the AI dedicated context

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for specific things. Precisely that. A project

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folder is like a dedicated room in your AI's

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memory palace just for one major project. The

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process is really simple. You just create a new

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project. Give it a name. Then, critically, you

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upload your master prompt so the AI knows who

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you are in the context of this project. And then

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you start adding all the relevant stuff, documents,

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data, notes, previous chats, whatever is relevant

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to that specific project. And here's what's really

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fascinating, the compound effect. As you keep

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talking to the AI within that project folder,

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its understanding of that specific topic gets

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deeper and deeper. It learns along with you.

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It becomes an increasingly intelligent partner

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on that project. That deepening understanding

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sounds incredibly powerful. Can you give us a

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concrete example? Like, how would this work for

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someone listening? Sure thing. Let's say someone's

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buying a vacation home overseas. Complex project,

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right? So they create a vacation home project

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folder. Inside, they upload their master prompt.

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Then they add the property listings from the

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agent, maybe a financial analysis PDF from their

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advisor, scanned legal documents about foreign

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ownership rules. Now, instead of having like

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10 scattered chats where they have to keep re

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-explaining, remember that Spanish property or

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what about the financing? They have one single

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central AI consultant. This AI has all the context.

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It remembers everything uploaded and discussed

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within that folder. So it can analyze different

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properties, compare financing options using the

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actual documents, provide super personalized

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advice, maybe even flag potential legal issues

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based on those docs it has access to. It completely

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changes how you handle complex long term decisions.

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Right. So the takeaway is. Project folders provide

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a centralized, deeply informed AI consultant

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for those nuanced, long -running tasks where

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context is everything. That's the core idea.

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One intelligent point of contact for your big,

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evolving projects. Okay, now hack number five.

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This is where, for me, it starts to feel really

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next level. Mastering the canvas. This tackles

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something that drives me crazy. You ask the AI

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to tweak one sentence, just a small change, and

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boom, it rewrites the entire darn thing and often

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ruins the parts you actually like. It's so frustrating.

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How does canvas... fix this. Give us that precision.

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Ah, yes. The rewrite frustration. Canvas is the

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antidote. Think of it less like a chat, more

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like a living document or maybe a collaborative

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whiteboard right inside ChatGPT. It's genuinely

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transformative for actually co -creating things

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with the AI. The process is basically a simple

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three -step loop and it's really powerful. First,

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once you have an output you generally like, you

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tell the AI, save this output as a canvas. Second,

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now you iterate. But instead of just talking

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in the chat, you have a conversation with the

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document itself. You ask the AI to make specific

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targeted changes, change this paragraph, rephrase

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this sentence, add a point here. And you see

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these changes happen in real time, often in like

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a split screen view. It's almost like Google

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Docs, but your collaborator is the AI editing

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right alongside you. Third, and this is key,

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you can also click directly into that canvas

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text and make your own manual edits. So you're

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blending your intuition, your human touch directly

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with the AI's refinement. It's a true. partnership.

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That real -time split -screen editing, that seems

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incredibly efficient compared to the back and

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forth. And you mentioned a master key connection

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here too. That's right. Once you've iterated

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and edited and that document in the canvas is

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absolutely perfect, guess what you do? You use

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that reverse engineering prompt again. You ask

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the AI, analyze this final perfect output we've

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created in the canvas. Now, write the detailed

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expert -level system prompt that would have generated

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this exact perfect output right from the start.

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So just like before, you turn that specific collaborative

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success into a reusable asset, a powerful system

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prompt you can use again and again. Okay, so

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probing question. What's the main benefit of

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using Canvas for this kind of collaborative work?

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It enables really precise, iterative co -creation.

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It lets you refine and build upon good work without

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constantly starting over or losing bits you liked.

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So we've covered personalizing the AI, teaching

00:12:03.100 --> 00:12:05.679
it tasks, giving it memory. What does this all

00:12:05.679 --> 00:12:07.580
mean for just, you know, the day -to -day grind,

00:12:07.779 --> 00:12:10.700
the routine interactions? That brings us to Hack

00:12:10.700 --> 00:12:14.100
Hashtag 6. Custom instructions. This sounds like

00:12:14.100 --> 00:12:16.679
the ultimate set it and forget it feature, like

00:12:16.679 --> 00:12:19.379
putting your home address into Google Maps once

00:12:19.379 --> 00:12:21.039
so you don't have to type it every single time.

00:12:21.159 --> 00:12:23.019
It seems designed to save a lot of repetition,

00:12:23.179 --> 00:12:25.519
a lot of mental energy. It absolutely does. It

00:12:25.519 --> 00:12:27.600
ensures every single response you get from the

00:12:27.600 --> 00:12:30.399
AI across all your chats and projects automatically

00:12:30.399 --> 00:12:33.000
matches your preferred style and format. You

00:12:33.000 --> 00:12:35.120
set it once. To really get the most out of it,

00:12:35.159 --> 00:12:36.860
it helps to think about that three -layer prompting

00:12:36.860 --> 00:12:39.299
system we kind of touched on. Layer one, your

00:12:39.299 --> 00:12:41.879
master prompt that defines who you are. Layer

00:12:41.879 --> 00:12:44.649
two. Your system prompts those, define how the

00:12:44.649 --> 00:12:47.509
AI works for specific tasks. And layer three,

00:12:47.610 --> 00:12:50.029
your custom instructions, these define how you

00:12:50.029 --> 00:12:52.470
want the final output presented. The formatting,

00:12:52.610 --> 00:12:55.909
the tone, the style, consistently every time.

00:12:55.909 --> 00:12:58.490
It just creates this unified, predictable experience.

00:12:58.950 --> 00:13:01.169
Right, setting those default presentation rules.

00:13:01.350 --> 00:13:03.669
So what are some practical examples? What kind

00:13:03.669 --> 00:13:05.710
of things should people put in their custom instructions?

00:13:06.090 --> 00:13:08.149
Good question. For the what to include part.

00:13:08.570 --> 00:13:10.950
Think about your desired default voice or output

00:13:10.950 --> 00:13:14.090
style. Stuff like always keep responses short

00:13:14.090 --> 00:13:18.490
and concise or use bulleted lists whenever possible

00:13:18.490 --> 00:13:22.169
to organize information. Maybe use a conversational

00:13:22.169 --> 00:13:24.629
and human -like tone. Please avoid sounding robotic.

00:13:25.210 --> 00:13:28.429
And just as important is the things to avoid

00:13:28.429 --> 00:13:30.809
section. This is where you say things like never

00:13:30.809 --> 00:13:33.519
use common AI crutch phrases like. Delve into,

00:13:33.659 --> 00:13:36.779
in conclusion, or in the digital age, or maybe

00:13:36.779 --> 00:13:39.919
avoid using em dashes unless I specifically ask

00:13:39.919 --> 00:13:42.500
for them. And there's even a shortcut for this

00:13:42.500 --> 00:13:44.860
too, an AI -assisted way. You can actually prompt

00:13:44.860 --> 00:13:46.919
the AI to interview you about your preferences

00:13:46.919 --> 00:13:49.539
to help you write these instructions. Takes the

00:13:49.539 --> 00:13:51.740
guesswork out. Okay, so custom instructions basically

00:13:51.740 --> 00:13:54.200
streamline all those daily AI chats by making

00:13:54.200 --> 00:13:56.700
sure every response automatically fits your preferred

00:13:56.700 --> 00:13:59.379
style and format. Exactly. Consistency and time

00:13:59.379 --> 00:14:02.559
-saving built right in. All right, and now. The

00:14:02.559 --> 00:14:06.519
grand finale, maybe. Hack, hashtag seven. Create

00:14:06.519 --> 00:14:09.779
custom GPTs. This feels like the ultimate move.

00:14:09.899 --> 00:14:12.299
It shifts you from just being a user or even

00:14:12.299 --> 00:14:14.559
a prompt engineer to becoming something more

00:14:14.559 --> 00:14:16.700
like a product manager for your own personal

00:14:16.700 --> 00:14:19.519
AI army. A collection of specialized AI agents,

00:14:19.580 --> 00:14:22.860
custom GPTs are. They're like dedicated AI assistants

00:14:22.860 --> 00:14:25.840
built for specific, valuable, repetitive tasks,

00:14:26.100 --> 00:14:28.000
right? This sounds like a huge competitive edge.

00:14:28.139 --> 00:14:30.100
Oh, it absolutely is. It's about building your

00:14:30.100 --> 00:14:32.700
own dedicated, specialized AI assistant designed

00:14:32.700 --> 00:14:35.240
perfectly for one specific function. Think back

00:14:35.240 --> 00:14:37.019
to that book architect example we mentioned.

00:14:37.120 --> 00:14:39.460
That was built as a custom GPT. It was given

00:14:39.460 --> 00:14:42.659
a... really powerful system prompt its core programming

00:14:42.659 --> 00:14:45.039
that told it exactly how to analyze everything

00:14:45.039 --> 00:14:47.399
a person has said publicly on a topic and then

00:14:47.399 --> 00:14:49.019
write a complete book outline or even a full

00:14:49.019 --> 00:14:51.500
draft in their authentic voice. Imagine having

00:14:51.500 --> 00:14:53.559
like a digital ghostwriter that really gets a

00:14:53.559 --> 00:14:55.320
specific person's style and knowledge instantly.

00:14:55.519 --> 00:14:58.230
Whoa, hold on. Imagine scaling that. Taking,

00:14:58.309 --> 00:15:00.610
say, any public figures, body of work, podcasts,

00:15:00.809 --> 00:15:02.730
articles, interviews, their entire philosophy,

00:15:02.809 --> 00:15:05.850
basically, and generating a complete, well -researched

00:15:05.850 --> 00:15:09.289
book in their authentic voice in minutes. That's

00:15:09.289 --> 00:15:11.350
like having an instant content factory, like

00:15:11.350 --> 00:15:13.149
that example with Rob Durdeck and the topic of

00:15:13.149 --> 00:15:16.009
time. The GPT analyzed his stuff, created an

00:15:16.009 --> 00:15:17.570
outline, and wrote a whole readable book draft,

00:15:17.750 --> 00:15:20.190
pulling in his actual quotes and stories, all

00:15:20.190 --> 00:15:22.649
in just 27 minutes. And it worked for Gary Vaynerchuk,

00:15:22.730 --> 00:15:24.929
Sarah Blakely, too, turning creators into authors

00:15:24.929 --> 00:15:27.509
almost instantly. That capacity is full. It's

00:15:27.509 --> 00:15:29.590
genuinely stunning. It really is mind blowing

00:15:29.590 --> 00:15:31.730
when you see it work. And this connects to something

00:15:31.730 --> 00:15:34.649
called the 928 rule. The idea is you build these

00:15:34.649 --> 00:15:37.409
AI systems, these custom GPTs to handle, say,

00:15:37.549 --> 00:15:40.690
92 percent of the repetitive, time consuming

00:15:40.690 --> 00:15:44.129
grunt work. That frees you, the human, up for

00:15:44.129 --> 00:15:46.330
the crucial 8 percent, the high level strategy,

00:15:46.429 --> 00:15:48.429
the creative breakthroughs, building relationships,

00:15:48.850 --> 00:15:52.429
the stuff AI can't do. And these custom GPTs,

00:15:52.629 --> 00:15:55.169
they're not just for your own use. They become

00:15:55.169 --> 00:15:57.309
valuable business assets. You can share them

00:15:57.309 --> 00:15:59.350
with your team, ensuring everyone works consistently.

00:15:59.470 --> 00:16:01.190
You could license them to clients as a unique

00:16:01.190 --> 00:16:03.049
service. You might even sell them in the public

00:16:03.049 --> 00:16:05.850
GPT store that open AI as, creating new revenue

00:16:05.850 --> 00:16:08.590
streams. Or use them as the basis for educational

00:16:08.590 --> 00:16:11.210
products. They are digital intellectual property

00:16:11.210 --> 00:16:14.860
you own. Building your own digital assets. And

00:16:14.860 --> 00:16:17.019
the process to actually create one, it sounds

00:16:17.019 --> 00:16:19.419
almost surprisingly simple. It really is, relatively

00:16:19.419 --> 00:16:22.240
speaking. You start with a system prompt. You've

00:16:22.240 --> 00:16:23.980
already perfected one. You probably developed

00:16:23.980 --> 00:16:26.200
using reverse engineering or the canvas. You

00:16:26.200 --> 00:16:28.960
go to the Create a GPT section and chat GPT Pro.

00:16:29.279 --> 00:16:32.159
You configure its instructions, basically pasting

00:16:32.159 --> 00:16:34.250
in your battle -tested system prompt. Then you

00:16:34.250 --> 00:16:36.009
test it thoroughly, give it different inputs,

00:16:36.169 --> 00:16:37.710
see how it does, maybe tweak the instructions

00:16:37.710 --> 00:16:39.970
a bit more, set the sharing permissions just

00:16:39.970 --> 00:16:42.529
for you, for your team, for public, and then

00:16:42.529 --> 00:16:45.919
you deploy it. Your own... Custom AI agent is

00:16:45.919 --> 00:16:48.639
live. It's almost like programming, but using

00:16:48.639 --> 00:16:50.740
natural language. So boiling it down, custom

00:16:50.740 --> 00:16:53.320
GPTs provide these specialized, consistent AI

00:16:53.320 --> 00:16:56.620
assistants that unlock automation, ensure quality,

00:16:56.840 --> 00:16:59.500
and can even open up totally new revenue streams.

00:16:59.799 --> 00:17:01.799
That's the heart of it. Scalability, consistency,

00:17:02.059 --> 00:17:04.720
and new opportunities. So we've walked through

00:17:04.720 --> 00:17:07.359
these seven hacks, and it's pretty clear they're

00:17:07.359 --> 00:17:10.119
not just, you know, hmm. So the advice is clear.

00:17:10.940 --> 00:17:13.960
Don't just wait to feel motivated. Start implementing.

00:17:14.299 --> 00:17:16.640
The source mentioned a habit stack idea integrating

00:17:16.640 --> 00:17:19.920
AI into things you already do, maybe using AI

00:17:19.920 --> 00:17:22.319
to summarize your morning news or drafting initial

00:17:22.319 --> 00:17:25.019
email replies, and also a four -week mastery

00:17:25.019 --> 00:17:27.319
path if you want a more structured boot camp

00:17:27.319 --> 00:17:29.420
style approach. Yeah, and to make it super concrete

00:17:29.420 --> 00:17:31.920
for everyone listening, here's a clear next action

00:17:31.920 --> 00:17:34.539
plan you could follow. today. If you haven't

00:17:34.539 --> 00:17:37.779
already, get ChatGPT Pro, and then start that

00:17:37.779 --> 00:17:39.740
AI -powered interview for your master prompt.

00:17:39.940 --> 00:17:42.819
Just begin the conversation. This week, aim to

00:17:42.819 --> 00:17:45.940
finish that master prompt PDF, and then try creating

00:17:45.940 --> 00:17:48.380
your very first system prompt using that reverse

00:17:48.380 --> 00:17:50.119
engineering technique on something you created

00:17:50.119 --> 00:17:52.759
recently. This month, challenge yourself to build

00:17:52.759 --> 00:17:55.059
your first custom GPT for one repetitive task

00:17:55.059 --> 00:17:57.480
you do, and start organizing your bigger projects

00:17:57.480 --> 00:18:00.059
into those dedicated project folders. This quarter,

00:18:00.160 --> 00:18:02.160
set a goal to become the person on your team

00:18:02.160 --> 00:18:04.930
or or among your peers who people turn to for

00:18:04.930 --> 00:18:08.390
AI advice. Become the go -to AI expert. It really

00:18:08.390 --> 00:18:10.930
brings it home. The fundamental question isn't

00:18:10.930 --> 00:18:13.730
if AI will transform your industry or your work.

00:18:13.829 --> 00:18:16.109
It's whether you'll be the one leading that transformation

00:18:16.109 --> 00:18:18.869
or the one watching it happen from the sidelines.

00:18:19.089 --> 00:18:21.329
Your competitive advantage, it seems, really

00:18:21.329 --> 00:18:23.890
does start with your very next chat GPT conversation,

00:18:24.349 --> 00:18:25.609
ODTRO Music.
