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You know, it often feels like most of us, when

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you use something like chat GPT, it's like we've

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been handed the keys to this incredible futuristic

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spaceship. Yeah. But we only ever seem to use

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it to order pizza. That's a great way to put

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it. We sense the power, right? This thing could

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go interstellar, but somehow we feel like we're

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stuck in first gear. Exactly. there's that feeling

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you're missing something deeper, just scratching

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the surface. And it's moving beyond just asking

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for answers, isn't it? It's more about, like,

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engineering thought itself. That's the core idea.

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Welcome, everyone, to the Deep Dive. Today we're

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really digging into how you can shift your use

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of ChatGPT from a simple answer machine to, well,

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a true extension of your own thinking. We're

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pulling from Max Anne's Beyond the Answer Machine,

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and the goal today is pretty ambitious. It is.

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We want to give you a comprehensive playbook,

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really. We'll cover the basics, the best practices.

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Then we'll get into project -based workflows,

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specific problem -solving prompts, critical thinking

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exercises. And even how to teach the AI how to

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think. Right, which all comes down to prompt

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engineering. That's just the art of crafting

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really effective instructions for the AI. It's

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key. Okay, so let's start with that foundation.

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The guide emphasizes four core practices that

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many people... uh tend to overlook yeah these

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are fundamental if you want to get serious first

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up specify your output format don't just ask

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for stuff command the structure you want meaning

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meaning tell it you want a checklist or a table

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with specific columns like feature benefit use

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case maybe you need valid json data or a youtube

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script outline be explicit it needs that direction

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ah okay so instead of just ideas it's give me

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five ideas formatted as a list with summaries

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got it exactly second is The job title trick.

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Even though these models are smart, giving the

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AI a specific persona or job title is still incredibly

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useful. Like telling it to be a specific kind

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of expert. Precisely. Act as a financial advisor

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with 20 years experience. Or you are an expert

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health coach for busy parents. Or even something

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fun like you're a drunken pirate if you need

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entertaining coffee. It frames the knowledge

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and the tone. Okay, that makes sense. It immediately

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focuses the AI. And the third one, I think this

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might be the most critical, be ruthlessly specific.

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Oh, absolutely. It's the classic garbage in,

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garbage out principle, right? Vague prompts get

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vague answers. An amateur asks, give me video

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ideas. Right. A power user says, give me five

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video title ideas under 50 characters focused

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on creating FOMO for productivity content, targeting

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short form video platforms. See the difference?

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Context, constraints, detail. That's gold. Okay.

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And the last one. Master iteration loops in a

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single prompt. This is powerful. You make the

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AI improve its own work within one command. How

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does that work? Like ask it to draft a marketing

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email, then in the same prompt, tell it to critique

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the weaknesses of that draft, and then rewrite

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the email based on its own critique. Wow. So

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it becomes its own editor. Basically, yeah. A

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whole creative team in one prompt. So what's

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the immediate shift someone can feel just by

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applying these basics? Being explicit format,

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persona, detail makes the AI far more useful

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right away. Okay, that's the foundation. Now

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let's level up. Moving from single prompts to

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more systematic workflows using chat GPTs. Projects

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feature. Yeah. You mentioned this lets you create

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specialized AI assistance. Exactly. Projects

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are like dedicated workspaces. And the magic

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ingredient is custom instructions. Think of these

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as the AI's permanent prime directive for that

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specific project. So it remembers context within

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that project. It provides persistent context.

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The AI learns your specific needs, your style,

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your goals for that task over time. It gets smarter

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about helping you specifically instead of starting

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fresh. every time. That sounds like a huge efficiency

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boost. Can you give some examples of these projects?

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Sure. A really popular one is the personal journal

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assistant. Here, your custom instructions tell

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the AI its role. Listen, give feedback, maybe

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point out blind spots, offer support, or even

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tough love if you asked for it. And you feed

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it personal context. Critically, yes. Your name,

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maybe your job, your goals, recurring challenges.

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Then you can just brain dump your thoughts. And

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because the AI has all that background. It gives

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you a more objective, informed perspective. Like

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a super patient sounding board that actually

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knows you. Precisely. Another great one is the

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explain this for me research analyst. Essential

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if you need to grasp complex stuff quickly. Like

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for research papers or dense articles? Yeah.

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The custom instructions make it an expert at

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breaking things down with analogies. And you

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specify a very structured output format. What

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kind of format? Things like a simple explanation

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for a five -year -old, a high -level summary,

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key takeaways, a good analogy, what's new about

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this, future implications, a quick soundbite,

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and crucially... Why should someone care? So

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you could feed it a super technical paper, say,

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on a new AI game engine. And bam, you get an

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instantly digestible structured breakdown. No

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waiting through jargon for hours. How do these

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custom assistants really make everyday tasks

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easier? They just remove so much mental load

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and decision fatigue because they already know

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your context. Right. Okay, we've got our AI assistant

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set up. Now let's talk specific copy -pastable

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prompts for real -world problems, the life -changing

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stuff. Absolutely. Let's start with something

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practical. The wellness optimizer. The prompt

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is super direct. List three simple but powerful

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wellness habits for sleep, digestion, and mental

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clarity. Break them down. Morning, midday, evening.

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Each habit must take less than five minutes for

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a very busy schedule. Ah, so it cuts through

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the noise and gives you actionable, quick wins

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that fit a real life. The more vague advice.

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Exactly. Now, what about learning? So many people

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get stuck with, where do I even start? Or they

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read something and it just goes in one ear, out

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the other. Yeah, the retention problem. AI is

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a game changer here. For the where do I start

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paralysis, use the 30 -day master plan. You basically

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ask the AI to be a world -class curriculum designer

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for whatever hobby you want to learn. How specific

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do you get? Very. Create a detailed 30 -day learning

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plan for hobby, say, drone photography, taking

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a beginner to intermediate. Assume 45 minutes

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practice daily. Include theory, practical exercises,

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weekly goals, gear recommendations, and a final

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capstone project. Wow, that's like getting a

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personalized course outline. It really is. Someone

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used this for drone photography, and the AI laid

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out week one, hovering landing, week two, edit

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a 30 -set clip, week three. Shoot a 60 -sec sequence

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straight from camera. Week four, plan and edit

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a two, three minute mini film. It just removes

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all the guesswork. OK, brilliant. And for the

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retention issue, the in one ear, out the other

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problem. That's where active recall comes in

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using the learning reinforcement quiz. Simple

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prompt. Act as my study partner. I just studied

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topic. Ask me 10 challenging questions. Don't

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give answers until I try all 10. Then provide

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a detailed answer piece. So it forces you to

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retrieve the information, not just passively

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reread it. Exactly. It makes learning stick.

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And if you want to go deeper, there's the secret.

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How does that work? So it leads you to the understanding

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instead of just giving it to you. Mm -hmm. It's

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a fantastic way to build real intuition. You

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know, I still wrestle with prompt drift myself

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sometimes, getting the wording just right. But

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this Socratic approach, it really pushes past

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surface -level understanding for me. So how do

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these prompts truly accelerate personal growth?

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They remove friction and turn passive learning

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into active, tailored practice. Much more effective.

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Okay, this next part. This feels like where things

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get really profound. Using AI not just for answers,

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but... to ask better questions, becoming a sparring

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partner for your own thoughts, a personal red

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team, as the guide calls it. Yeah, this is shifting

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gears. You stop seeing it as just an infosaurus

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and start using it as an intellectual challenger.

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First up, the assumption destroyer. What does

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that do? Every belief, every plan we have rests

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on hidden assumptions. This prompt digs them

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out. You say, I believe your belief. Act as a

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masqueradogician. What are the hidden assumptions

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I'm making? Then give me the strongest steel

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man argument against my belief. So if I said,

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I believe remote work is always more productive,

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it would first point out assumptions like everyone

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has a good home office setup or all tasks suit

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remote work. Exactly. And then it would present

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the strongest case for why office work might

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be better in some scenarios. Not to prove you

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wrong, but to make your own thinking more robust.

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Makes sense. What's next? The devil's advocate

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or a premortem. This is vital for de -risking

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anything new. You lay out your plan. I'm planning

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to detailed plan. You're my trusted advisor,

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but play devil's advocate. Give me the most compelling

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data -driven arguments against doing this. Oof.

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Sounds like it could be a dose of harsh reality.

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It often is. Like, someone planning an indie

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game launch on Steam used this. The AI came back

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with brutal stats. 19 ,000 new games last year.

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Median lifetime earnings under $500. Massive

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marketing challenges. It forces you to confront

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the downsides up front. Necessary, though. Okay,

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what else? The consequence mapper. This explores

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the ripple effects of decisions' second and third

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order consequences. How does that work? You say,

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I'm thinking about making a decision, like quitting

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my job to start a business. Map out the likely

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second order consequences of consequences and

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third order consequences, both positive and negative.

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So for quitting the job, second order might be

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income stress. Third order could be kids seeing

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entrepreneurial resilience. Or maybe relationship

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strain. Precisely. It helps you think through

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the longer term, less obvious impacts. Then there's

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the personal blind spot finder. This one's intense.

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How so? It uses the AI's memory within a specific

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project, you ask. Based on all our previous conversations

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in this project, act as an executive coach. Identify

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my top five recurring blind spots or cognitive

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biases. Ooh, that requires some bravery. It really

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does. This is not for the faint of heart. You

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need to be ready for potentially blunt feedback.

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It's powerful for self -improvement, but yeah,

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needs emotional readiness. And there's one more

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advanced one here. The outside view forecaster.

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Yeah, this tackles our natural optimistic bias,

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drawing on Daniel Kahneman's work. You state

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your plan. I'm planning to launch a new podcast,

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maybe. Contrast the inside view, my hopes and

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specific plans, with the outside view. Find real

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-world data, statistics, base rates for similar

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projects. What is the statistically most likely

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outcome? So it grounds your personal optimism

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in historical data for similar ventures. Often

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less rosy, I imagine. Often, yes. but incredibly

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valuable for realistic planning. So how do these

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critical thinking prompts fundamentally change

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our approach? They force us to think critically

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and consider perspectives way beyond our own

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assumptions. Okay, now shifting slightly. Let's

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talk about using ChatGPT as a kind of cognitive

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toolkit for managing everyday negative thoughts.

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Structuring self -reflection. Right. And this

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needs a huge flashing disclaimer right up front.

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Absolutely. This is not therapy. It is not medical

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advice. It is never a substitute for professional

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mental health support. This is purely a framework

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for structured self -reflection on non -clinical

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everyday stress using principles from cognitive

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behavioral therapy or CBT. Understood. For personal

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insight only. So how does the CBT workflow prompt

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work? It guides you through challenging, unhelpful

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thoughts. Exactly. It turns the AI into a compassionate,

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objective journaling guide. It walks you through

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the process step by step, asking questions one

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at a time. What kind of questions? First, what

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was the situation? What emotions did you feel

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and rate their intensity? What were your automatic

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thoughts? Then it helps you identify common cognitive

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distortions in those thoughts, things like all

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or nothing thinking, catastrophizing, mind reading.

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After identifying distortions, it guides you

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to create a more balanced, realistic reframe

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of the thought. Then, crucially, it asks you

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to propose one tangible action step you can take.

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And it finimes with a simple, positive one -sentence

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affirmation. You can give an example. Sure. Say

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a YouTuber sees their views dip. Situation. Low

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views on new videos. Emotions. Anxiety 710. Self

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-doubt 810. Automatic thoughts. My new videos

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are failing. I'm losing my touch. Everyone's

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bored. AI helps identify distortions. All or

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nothing. Failing. Mind reading. Everyone's bored.

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User that creates a reframe. Growth isn't always

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linear. Some videos underperform. I'm still creating

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valuable content. AI suggests an action. Analyze

00:12:45.039 --> 00:12:47.580
my top five performing videos for common elements

00:12:47.580 --> 00:12:50.659
and offers an affirmation. I grow through every

00:12:50.659 --> 00:12:53.620
experiment, one video at a time. So beyond the

00:12:53.620 --> 00:12:55.480
practical steps, how does this method impact

00:12:55.480 --> 00:12:57.500
well -being? It helps break negative thought

00:12:57.500 --> 00:12:59.919
loops and leads to actionable clarity, which

00:12:59.919 --> 00:13:02.860
can be really empowering. Makes sense. Okay,

00:13:02.940 --> 00:13:05.220
before we move to the advanced stuff, let's take

00:13:05.220 --> 00:13:08.279
a quick moment for our sponsor, Midroll Sponsoread.

00:13:09.039 --> 00:13:11.480
And we're back on the deep dive. We've covered

00:13:11.480 --> 00:13:13.870
a lot of ground. from foundations to specialized

00:13:13.870 --> 00:13:16.269
assistance and critical thinking. Now let's talk

00:13:16.269 --> 00:13:18.330
cheat codes. Quick shortcuts. Yeah, these are

00:13:18.330 --> 00:13:20.750
super handy for quick results. First one, ELI

00:13:20.750 --> 00:13:23.590
5. Explain like a 5. Simple enough. Just take

00:13:23.590 --> 00:13:26.490
your complex topic followed by ELI 5, like quantum

00:13:26.490 --> 00:13:29.450
computing ELI 5. It dumbs it right down to the

00:13:29.450 --> 00:13:31.850
core concepts. Great starting point. Nice. And

00:13:31.850 --> 00:13:35.600
the opposite. TLDR. Too long. Didn't read. Paste

00:13:35.600 --> 00:13:38.159
in a long article, email, whatever, add TLDR,

00:13:38.379 --> 00:13:41.299
and you get a quick, concise summary. Huge time

00:13:41.299 --> 00:13:44.820
saver. Okay. What about jargonize? Humanize.

00:13:44.919 --> 00:13:47.360
These are cool. Humanize takes technical text

00:13:47.360 --> 00:13:49.980
and makes it plain English. Jargonize does the

00:13:49.980 --> 00:13:51.820
reverse, takes simple notes and makes them sound

00:13:51.820 --> 00:13:53.740
more professional or technical. You can even

00:13:53.740 --> 00:13:56.840
chain them. Humanize a dense report to understand

00:13:56.840 --> 00:13:59.620
it. Then jargonize your simple summary into a

00:13:59.620 --> 00:14:03.009
formal brief. Clever. And the last one. The Feynman

00:14:03.009 --> 00:14:05.690
technique. Ah, yeah. Named after the physicist

00:14:05.690 --> 00:14:08.769
Richard Feynman. You ask the AI, explain complex

00:14:08.769 --> 00:14:11.549
topic to me using the Feynman technique. It forces

00:14:11.549 --> 00:14:14.350
the AI to explain it simply using analogies as

00:14:14.350 --> 00:14:16.350
if it were teaching it. It really helps you identify

00:14:16.350 --> 00:14:18.889
gaps in your own understanding. So how do these

00:14:18.889 --> 00:14:21.590
simple tags make interacting with AI more efficient?

00:14:21.889 --> 00:14:24.590
They instantly reformat responses, saving you

00:14:24.590 --> 00:14:27.309
time and significant mental effort. Quick wins.

00:14:27.549 --> 00:14:30.190
Got it. Okay, now for the really advanced stuff.

00:14:30.490 --> 00:14:32.230
We're talking strategies that don't just ask

00:14:32.230 --> 00:14:34.769
for output, but actually teach the AI how to

00:14:34.769 --> 00:14:37.409
think about a problem, manipulating its cognitive

00:14:37.409 --> 00:14:39.350
process. This is where it gets really exciting.

00:14:39.490 --> 00:14:41.090
These aren't just clever prompts. They're like

00:14:41.090 --> 00:14:44.629
cognitive algorithms based on AI research. First,

00:14:44.809 --> 00:14:48.500
Tree of Thought 2T Exploration. Think of it as

00:14:48.500 --> 00:14:51.399
the multiverse approach. You force the AI to

00:14:51.399 --> 00:14:54.379
explore multiple distinct solution paths before

00:14:54.379 --> 00:14:57.559
picking one. The prompt structure is key. Solve

00:14:57.559 --> 00:15:00.600
complex problem. Explore three distinct and creative

00:15:00.600 --> 00:15:03.720
solution branches. For each branch, outline your

00:15:03.720 --> 00:15:06.340
chain of thought. Critically evaluate each branch

00:15:06.340 --> 00:15:08.740
on a 0 -10 scale for correctness, efficiency,

00:15:09.080 --> 00:15:12.200
and creativity. Finally, select the highest scoring

00:15:12.200 --> 00:15:15.460
branch and justify your choice. So for a big

00:15:15.460 --> 00:15:18.620
problem like job loss due to AI, it wouldn't

00:15:18.620 --> 00:15:20.720
just give one answer. Right. It might explore,

00:15:20.799 --> 00:15:23.700
say, a rapid reskilling path, an AI dividend

00:15:23.700 --> 00:15:26.240
path, and maybe an augmentation first work design

00:15:26.240 --> 00:15:28.259
path, scoring each one based on the criteria

00:15:28.259 --> 00:15:30.879
you set. It's amazing for complex strategy where

00:15:30.879 --> 00:15:32.980
there's no single obvious answer. That's powerful.

00:15:33.159 --> 00:15:35.919
What's next? Self -consistency voting. This boosts

00:15:35.919 --> 00:15:38.779
accuracy, especially for factual or problem -solving

00:15:38.779 --> 00:15:41.080
tasks. You ask the AI to solve the same problem

00:15:41.080 --> 00:15:43.360
multiple times using slightly different reasoning

00:15:43.360 --> 00:15:46.360
paths each time. How does that work? The prompt

00:15:46.360 --> 00:15:49.820
would be like, solve task, generate five independent

00:15:49.820 --> 00:15:52.620
reasoning paths to get the answer, return the

00:15:52.620 --> 00:15:55.600
final answer from each path, then hold a vote

00:15:55.600 --> 00:15:58.299
and choose the majority answer. Provide a definitive

00:15:58.299 --> 00:16:01.700
explanation based on the consensus. It leverages

00:16:01.700 --> 00:16:04.440
the wisdom of the crowd within the AI itself.

00:16:04.779 --> 00:16:06.820
Interesting. Then there's the reflection self

00:16:06.820 --> 00:16:09.000
-critique loop. You called it the Gordon Ramsay

00:16:09.000 --> 00:16:12.500
prompt earlier. Huh. Yes. Because it's tough

00:16:12.500 --> 00:16:15.120
on its own work. You turn the AI's critical eye

00:16:15.120 --> 00:16:18.100
on its own output. Prompt. First, answer question

00:16:18.100 --> 00:16:21.399
task. Then, enter critique mode. Identify all

00:16:21.399 --> 00:16:24.700
flaws, errors, or gaps in your own draft. Finally,

00:16:24.860 --> 00:16:27.159
produce an improved final answer that fixes all

00:16:27.159 --> 00:16:29.509
the issues you identified. And it actually finds

00:16:29.509 --> 00:16:31.870
flaws in its own first attempt. Oh, yeah. Often

00:16:31.870 --> 00:16:34.669
quite harshly. Then it produces a significantly

00:16:34.669 --> 00:16:37.250
better V2. It's like built -in quality control

00:16:37.250 --> 00:16:39.710
for creative or analytical tasks. Incredible.

00:16:39.809 --> 00:16:42.190
What about the personal consultant prompt, the

00:16:42.190 --> 00:16:44.129
automation audit? This one's super practical.

00:16:44.250 --> 00:16:46.269
The AI acts like an external consultant looking

00:16:46.269 --> 00:16:48.289
for automation opportunities in your life or

00:16:48.289 --> 00:16:50.679
work. How do you set that up? Act as a senior

00:16:50.679 --> 00:16:53.580
automation consultant. Ask me up to 10 diagnostic

00:16:53.580 --> 00:16:56.039
questions to understand my role daily routines

00:16:56.039 --> 00:16:58.600
and uncover repetitive tasks in my job life.

00:16:58.799 --> 00:17:01.279
Based on my answers, rank the top five automation

00:17:01.279 --> 00:17:04.359
opportunities. Suggest specific tools or a tech

00:17:04.359 --> 00:17:07.180
stack for each. Provide a high -level, step -by

00:17:07.180 --> 00:17:09.519
-step implementation plan. So it interviews you,

00:17:09.559 --> 00:17:11.200
then gives you an action plan. Exactly. Someone

00:17:11.200 --> 00:17:13.920
use this who is a content creator. The AI identified

00:17:13.920 --> 00:17:16.519
bottlenecks like chaotic video ideation, manual

00:17:16.519 --> 00:17:19.039
sponsor tracking, etc., and suggested tools.

00:17:19.180 --> 00:17:22.579
like monday .com, RSS feeds, and automation platforms

00:17:22.579 --> 00:17:26.319
like N8N. Very cool. Okay, last one. The world

00:17:26.319 --> 00:17:30.539
engine. This sounds different. it is this showcases

00:17:30.539 --> 00:17:32.859
the ai's ability to maintain a persistent state

00:17:32.859 --> 00:17:35.460
for interactive storytelling or simulations the

00:17:35.460 --> 00:17:38.019
prompt structure is key you are a world engine

00:17:38.019 --> 00:17:41.519
genre g solar punk mystery maintain a dynamic

00:17:41.519 --> 00:17:44.319
world state based on my choices narrate the current

00:17:44.319 --> 00:17:47.079
scene vividly always offer me three clear distinct

00:17:47.079 --> 00:17:49.579
branching choices for my next action weave the

00:17:49.579 --> 00:17:51.819
consequences of my choices logically into the

00:17:51.819 --> 00:17:55.039
evolving narrative whoa Imagine the possibilities

00:17:55.039 --> 00:17:57.920
with this world engine. It's like building your

00:17:57.920 --> 00:18:00.039
own interactive narrative playground where your

00:18:00.039 --> 00:18:03.180
choices genuinely shape the story, potentially

00:18:03.180 --> 00:18:05.660
endlessly. It feels like we're just scratching

00:18:05.660 --> 00:18:07.980
the absolute surface of what these models can

00:18:07.980 --> 00:18:10.569
really do creatively. It really does feel like

00:18:10.569 --> 00:18:12.529
that. It's a glimpse into truly interactive,

00:18:12.730 --> 00:18:16.190
persistent AI experiences. So how do these advanced

00:18:16.190 --> 00:18:20.750
methods truly elevate the AI beyond just answering

00:18:20.750 --> 00:18:22.950
questions? They transform it into a strategic

00:18:22.950 --> 00:18:25.190
thinking partner, not just a content generator

00:18:25.190 --> 00:18:27.410
or answer bot. Okay, let's bring this all together.

00:18:27.549 --> 00:18:30.529
As we wrap up this deep dive, the central message

00:18:30.529 --> 00:18:33.970
seems crystal clear. ChatGPT isn't just an answer

00:18:33.970 --> 00:18:36.130
machine anymore. It's really a thinking machine.

00:18:36.329 --> 00:18:38.230
That's the absolute bottom line and the real

00:18:38.230 --> 00:18:41.220
power. It's all in the setup. Generic chats give

00:18:41.220 --> 00:18:44.319
generic results. But using projects with tailored

00:18:44.319 --> 00:18:46.859
custom instructions, that turns this general

00:18:46.859 --> 00:18:49.480
tool into a whole team of specialized assistants

00:18:49.480 --> 00:18:52.160
built just for you. And the goal shifts, right?

00:18:52.259 --> 00:18:54.099
It's not just about getting better answers from

00:18:54.099 --> 00:18:57.140
the AI. Exactly. It's about you developing better

00:18:57.140 --> 00:18:59.839
thinking habits. The act of structuring a problem

00:18:59.839 --> 00:19:02.519
clearly enough for the AI forces you to clarify

00:19:02.519 --> 00:19:05.000
your own thoughts. Prompt engineering is critical

00:19:05.000 --> 00:19:07.910
thinking practice. And iteration is key. Those

00:19:07.910 --> 00:19:10.430
advanced techniques like self -critique or tree

00:19:10.430 --> 00:19:13.549
of thought, they force the AI to refine, improve,

00:19:13.910 --> 00:19:16.890
and explore options. Quality comes from that

00:19:16.890 --> 00:19:19.710
process. And don't forget memory. Within a project,

00:19:19.849 --> 00:19:22.589
the AI remembers your context, your goals, your

00:19:22.589 --> 00:19:25.410
style. It gets smarter about you over time. That

00:19:25.410 --> 00:19:27.609
persistent context is maybe its most valuable

00:19:27.609 --> 00:19:30.640
asset for personalized help. Right. This deep

00:19:30.640 --> 00:19:33.119
dive isn't just theory, though. We really want

00:19:33.119 --> 00:19:35.420
you, the listener, to put this into practice.

00:19:35.799 --> 00:19:38.240
So we've got an immediate action plan, a challenge

00:19:38.240 --> 00:19:39.839
for you this week. Yeah, let's make this real.

00:19:39.940 --> 00:19:42.599
Four things to try. One, set up your first project.

00:19:42.779 --> 00:19:45.220
Pick one recurring task, journaling, health tracking,

00:19:45.500 --> 00:19:48.259
summarizing news, whatever, and build a dedicated

00:19:48.259 --> 00:19:51.359
project with detailed custom instructions. Really

00:19:51.359 --> 00:19:53.980
define that AI assistance role. Okay, number

00:19:53.980 --> 00:19:58.160
one, build a project. Two, be brave. Try the

00:19:58.160 --> 00:20:00.460
personal blind spot finder prompt within that

00:20:00.460 --> 00:20:03.599
project or another one. Ask the AI to identify

00:20:03.599 --> 00:20:05.980
your recurring biases based on your chats. It

00:20:05.980 --> 00:20:08.039
might be uncomfortable, but potentially transformative.

00:20:08.460 --> 00:20:12.920
Number two, find blind spots. Gulp. Three, experiment

00:20:12.920 --> 00:20:15.980
with one advanced technique. Just pick one people,

00:20:16.099 --> 00:20:18.619
maybe the self -critique loop on something you

00:20:18.619 --> 00:20:20.700
write or the devil's advocate for a plan you

00:20:20.700 --> 00:20:22.799
have. See how it changes your process. Number

00:20:22.799 --> 00:20:26.390
three. Try one advanced prompt. And four, run

00:20:26.390 --> 00:20:28.890
the automation workflow finder prompt. Seriously,

00:20:29.109 --> 00:20:31.410
audit your daily routines. Ask the AI consultant

00:20:31.410 --> 00:20:33.509
to help you find things you could automate. You

00:20:33.509 --> 00:20:36.210
might be surprised. Okay, four steps. Project,

00:20:36.349 --> 00:20:39.170
blind spots, advanced prompt, automation audit.

00:20:39.519 --> 00:20:41.440
That's the challenge. And maybe a final thought

00:20:41.440 --> 00:20:44.339
to leave people with. Stop treating ChatGPT like

00:20:44.339 --> 00:20:46.859
a fancy search engine. Start treating it like

00:20:46.859 --> 00:20:49.839
this incredibly patient, knowledgeable, and yes,

00:20:49.960 --> 00:20:52.200
powerful thinking partner. It's like a second

00:20:52.200 --> 00:20:54.839
brain that can challenge you, simulate possibilities,

00:20:55.119 --> 00:20:57.279
help you structure your thoughts. Because honestly,

00:20:57.420 --> 00:20:59.480
the people who master thinking with AI, not just

00:20:59.480 --> 00:21:00.819
asking AI for things, they aren't just going

00:21:00.819 --> 00:21:02.039
to be more productive. They're actually going

00:21:02.039 --> 00:21:03.700
to be smarter. OTRO Music.
