WEBVTT

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Okay, let's unpack this. Have you ever had that

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feeling, you know, that little pang of disappointment?

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You're using this amazing AI, everyone's calling

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it revolutionary, and the response you get is

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just kind of flat, generic, maybe shallow, or

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it completely misses what you were really aiming

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for strategically. That frustration, feeling

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like you're not quite clicking with the AI, it's

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super common. Oh, absolutely. It really is. And

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I think a lot of that frustration comes from

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a basic misunderstanding. People often think

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there's some secret formula or like a string

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of magic words they need to find to unlock the

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AI. Like a cheat code or something. Exactly.

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And that search, it kind of traps you in the

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cycle of getting vague results back because you're

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not really addressing the core issue. And that

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core issue, that's what we're really digging

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into today, isn't it? Yes. Because here's the

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thing, the really empowering part. Getting great

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results from AI isn't mainly about what specific

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words you write. It's much more fundamental.

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It's about how you think. How can you think?

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It's about translating all that complexity in

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your head, your goals, the context, your assumptions

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into a language the AI can genuinely grasp and

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collaborate with. So this deep dive is basically

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about learning that translation process. Precisely.

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Our mission today is to give you a practical

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roadmap. Not just theory, but actual techniques

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you can use right away to seriously level up

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the quality, the relevance, the strategic value

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of what you get from AI. So moving it beyond

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just a simple task doer. Exactly. Transforming

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it into a real thinking partner. Doesn't matter

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if you're in marketing, consulting, research,

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creating content. This applies across the board.

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OK, so to make that happen, you're saying we

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need a mindset shift. A crucial paradigm shift,

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yeah. We need to stop seeing AI like a vending

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machine. You know, put in a command, get out

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a predictable product. That's not it. OK, not

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a vending machine. Then what? Think of it more

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like a highly knowledgeable, incredibly fast

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junior colleague. But, and this is key, a colleague

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who is completely lacking context unless you

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provide it. Ah, OK. I like that analogy. Yeah.

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Smart intern, maybe? Sort of. Think about briefing

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a human colleague. You wouldn't just dump a task

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on them, right? No, definitely not. You'd give

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background, explain why we're doing it, maybe

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mention things we're assuming. Exactly. Assumptions,

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goals, constraints, what success even looks like.

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AI needs that exact same rich layer of context

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to go from spitting out generic text to providing

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something genuinely useful, maybe even insightful.

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So those prompt generators you see online, they're

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not the whole answer. They can be a starting

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point, like a phrase book when you're traveling,

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but for a real deep conversation. For true collaboration,

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you need fluency. Fluency in the language of

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thought and context. Okay, fluency. I like that.

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So how do we get fluent? This work gets really

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interesting, right? You've got some techniques

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for us. Yes. We've got seven essential practical

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techniques. Think of them as your lessons in

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achieving that fluency, your blueprint for transforming

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how you interact with AI. All right, let's get

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into it. Technique number one. Technique number

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one is transparent reasoning, sharing your mental

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blueprint. Mental blueprint. OK, explain that.

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Well, think about most AI prompts. They often

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start out technically correct, like write a blog

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post about the benefits of remote work for tech

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companies. Seems reasonable enough. It's clear,

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sure, but it's strategically empty. The AI will

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probably give you something perfectly readable,

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maybe even SEO friendly, but ultimately, forgettable.

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Why? Because it lacks a specific point of view,

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a defined audience, a real purpose. So transparent

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reasoning fixes that. It's the way to fix it.

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You explicitly state the why behind your what.

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You're essentially opening up your head and showing

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the AI your entire mental blueprint for the task.

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OK, so what's in this blueprint? What do I need

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to share? Good question. Key components are,

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your core objective, what's the ultimate business

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or personal goal here? Your target audience,

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who is this actually for? What are their pains,

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their motivations? What do they already know?

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Makes sense. What else? Your key assumptions,

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what are you taking as true about the situation

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or the audience? Any constraints and boundaries,

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things like budget, time, brand voice, word count,

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legal stuff? Where are the guardrails? Exactly.

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And finally, crucially, your definition of success.

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What does a great outcome actually look like?

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What are the specific criteria you'll use to

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judge the output? Wow, okay. That's a lot more

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detail than just asking for a blog post. It is.

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But let's revisit that remote work example. With

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transparent reasoning, it transforms. How so?

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You'd say something like, okay, my main goal

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here is to persuade skeptical VPs of engineering

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at, say, Series B startups to seriously consider

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a fully remote model. I know they worry about

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collaboration and engineering velocity. Okay,

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much more specific audience and objective. My

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key assumption is their real objection isn't

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about raw productivity. It's about maintaining

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an innovative culture remotely. Constraints?

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Keep it under 1 ,500 words. Tone should be confident,

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but empathetic. Absolutely no corporate jargon.

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And the success definition. Success for this

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piece means giving these VPs actionable frameworks

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or maybe even short case studies they could immediately

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use or share internally to start building their

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own case for going remote. OK, yeah. I can instantly

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see how that prompt leads to a vastly different,

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much more valuable output than the first one.

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It's a total game changer. You're not just getting

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words back. You're getting output that's already

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aligned with your strategy. It anticipates objections,

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uses the right language. It dramatically cuts

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down your editing time. It moves the AI from

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just doing a task to being a strategic partner.

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That's the essence of it. And what's really fascinating...

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When you force yourself to articulate this blueprint

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for the AI, it often clarifies your own thinking,

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too. How often do we really lay out our own assumptions

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and success criteria that, clearly, even for

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ourselves? That's a really good point. OK, so

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transparent reasoning helps us set the stage

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perfectly. But what if? What if I've seen something

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amazing already out there, like a competitor's

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email that's just brilliant or an image with

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a style I love? How do I get the AI to replicate

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that kind of vibe? Describing it seems hard.

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Ah, yes. That brings us perfectly to our second

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technique. Reverse prompting, deconstructing

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excellence to replicate it. Reverse prompting

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sounds intriguing, like working backwards. Exactly.

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This is your secret weapon when you have an existing

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piece of content, text, visual, whatever that

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you admire, but you find it hard to articulate

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why it works or how to get that same feel from

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scratch. Yeah, describing a tone or aesthetic

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is tough. Incredibly tough. So instead of guessing,

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you leverage the AI's pattern recognition skills.

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You get the AI to tell you what makes it great.

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Okay, how does that work? Let's say for text.

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Like that competitor's email newsletter example.

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Right. First, find your gold standard example.

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Copy the text. Then you instruct the AI. You'd

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say something like, OK, I want you to act as

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a world -class copywriter and analyst. Please

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deconstruct the following email newsletter. Then

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you paste it in. Then what do I ask it to look

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for? You'd ask it to identify specific patterns.

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Analyze its tone of voice, its sentence structure

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and rhythm, any persuasion framework being used

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like AIDA or PAS or storytelling. Who is the

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likely intent? audience and what core copywriting

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principles like social proof or scarcity are

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evident. Wow okay so the AI breaks it down like

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an expert. Exactly. It gives you a detailed analysis.

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But you don't stop there. The next step is crucial.

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What's that? You follow up. Fantastic analysis.

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Now, based only on the patterns you just identified,

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create a detailed copy -paste -ready prompt template.

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This template should allow me to consistently

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replicate this exact style and persuasive approach

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for different email topics in the future. So

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the AI builds the prompt for you based on the

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example? Precisely. It gives you a reusable blueprint

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for that specific style. That's clever. Does

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it work for images, too? Like getting that perfect

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visual style? Absolutely. You'd use a multimodal

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AI, one that can see images like Gemini or the

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ChatGPT app with image uploads. OK, so I upload

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the image I like? Yep. And then you ask for a

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similar deconstruction. Analyze this image in

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detail. I want to create similar visuals. Identify

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the key elements. What's the art style? The composition

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and framing. Describe the color palette, the

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lighting, the overall mood and atmosphere. What

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are the specific subject matter details? So it

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gives me the visual recipe. Kind of. And then,

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just like with text, you ask it to synthesize

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that analysis into a usable prompt. Based on

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your analysis, craft a comprehensive image generation

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prompt for a tool like MidJourney or Deli3. This

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prompt should aim to produce a new image that

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has a very similar visual identity and mood,

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but feature a different subject, let's say, a

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lone astronaut exploring a vibrant alien jungle.

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So cool. Instead of me fumbling around trying

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to describe moody lighting or cinematic composition,

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the AI analyzes the example and gives me the

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exact language to ask for it again. You got it.

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You're leveraging the AI's analytical power to

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essentially get it to teach you its own language

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of style. You get the building blocks of excellence.

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and straight from the source. Okay. Technique

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three. What's next? Technique three is a classic

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but incredibly powerful one. Few shot prompting

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guiding with high quality example. Few shot.

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Meaning you give it a few examples. Exactly that.

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It's about showing the AI what you want, not

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just telling it. You provide two or three specific,

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really high quality examples of the desired output

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directly within the prompt itself. How does that

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help? It acts as incredibly powerful in context

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learning. The AI learns the style, format, tone,

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level of detail, everything, directly from the

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examples you provide in that moment. Can you

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give an example, like before and after? Sure.

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Let's say you want to summarize a complex scientific

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paper for a general audience. A basic prompt,

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a zero -shot prompt might be, summarize this

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complex scientific article into a few bullet

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points for a general audience. Okay, and the

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result would probably be? Accurate. Most likely,

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but probably pretty dry, maybe technical, maybe

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unengaging, just the facts. Right, so how does

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Fewshot change it? With Fewshot, you'd preface

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your request with examples. You'd say, I need

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you to summarize complex scientific articles

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into clear, engaging bullet points for a non

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-expert audience. Please follow the exact style

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and format of these two examples. Example 1.

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The big idea. Scientists found gut bacteria can

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influence mood by talking to brain cells. Think

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hotline from your stomach to your head why it

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matters. Could lead to new psychobiotic treatments

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for anxiety. Example two, the discovery. Researchers

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created see -through solar panels. Future windows

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could generate power. The impact. Imagine your

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office building making clean energy. Now, using

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this exact format and engaging analogy -rich

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style, summarize the following article, and then

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you paste the new article text. Ah, okay. The

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examples act like a mini style guide, right there

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in the prompt. The AI sees the big idea and why

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it matters. It sees the short sentences, the

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analogies. Precisely. It immediately grasps the

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desired level of simplification, the tone, the

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structure. You get much more consistent and effective

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output because you've shown it exactly what good

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looks like in this context. It feels like, well,

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like training wheels, in a good way. It is. And

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if we connect this back to that colleague analogy,

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this is like showing a new team member. Here

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are three reports that were perfect. Make your

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report look and feel exactly like these. You

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don't just tell them, you show them. That makes

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perfect sense. Yeah. Is there a way to make this

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even more powerful, maybe for ongoing tasks?

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Yes. There is an advanced tip. Many AI tools

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now, like ChatGPT Plus or Claude Pro, have features

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where you can upload reference materials or create

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a knowledge base. You could upload say, dozens

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of your best ever marketing emails or blog posts

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into one of these knowledge files, then in your

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prompt, you can just refer the AI to that file.

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Summarize this report in the style and format

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exemplified in my best marketing emails knowledge

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file. It gives the AI a huge library of your

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preferred examples to draw from consistently.

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Brilliant. So you build your own internal style

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guide for the AI. Exactly. OK, moving on to technique

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number four. This one is really clever, I think.

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It's meta prompting. turning the AI into your

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prompting coach. Minute prompting, like prompting

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about prompting. Precisely. Instead of jumping

00:12:17.940 --> 00:12:20.580
straight to asking the AI for the final answer

00:12:20.580 --> 00:12:23.500
or the final piece of content, you use the AI's

00:12:23.500 --> 00:12:25.740
intelligence to help you figure out what the

00:12:25.740 --> 00:12:28.100
best possible prompt would be in the first place.

00:12:28.200 --> 00:12:30.960
Whoa, okay, so you collaborate with the AI on

00:12:30.960 --> 00:12:33.220
crafting the instructions for the AI. Exactly.

00:12:33.440 --> 00:12:36.159
You leverage its vast knowledge to ensure you're

00:12:36.159 --> 00:12:38.279
asking the right questions and providing the

00:12:38.279 --> 00:12:40.539
right information before it even starts the main

00:12:40.539 --> 00:12:42.740
task. Can you walk me through an example that

00:12:42.740 --> 00:12:44.940
sounds a bit abstract? Sure. Let's go back to

00:12:44.940 --> 00:12:47.960
that strategy scenario. Imagine you're a strategy

00:12:47.960 --> 00:12:50.940
lead at a premium fitness apparel brand, maybe

00:12:50.940 --> 00:12:54.259
like Lululemon. You need to create a market entry

00:12:54.259 --> 00:12:57.580
plan for Southeast Asia, focusing on, say, Vietnam,

00:12:57.779 --> 00:13:00.559
Thailand, and Singapore. That's a complex task.

00:13:00.919 --> 00:13:02.879
Definitely. Lots of unknowns. Where would I even

00:13:02.879 --> 00:13:05.059
start prompting for that? That's where meta prompting

00:13:05.059 --> 00:13:07.440
comes in. Your first prompt isn't asking for

00:13:07.440 --> 00:13:09.820
the strategy. It's asking for help designing

00:13:09.820 --> 00:13:12.720
the prompt. OK. So what would I say? You'd say

00:13:12.720 --> 00:13:16.200
something like this. Hi, chat GPT. I'm the strategy

00:13:16.200 --> 00:13:18.700
lead for a premium fitness apparel company similar

00:13:18.700 --> 00:13:21.759
in positioning to Lululemon. My objective is

00:13:21.759 --> 00:13:23.960
to develop a comprehensive market entry strategy

00:13:23.960 --> 00:13:27.220
for Southeast Asia, specifically Vietnam, Thailand,

00:13:27.399 --> 00:13:31.179
and Singapore. This is a complex strategic task.

00:13:31.580 --> 00:13:34.299
To ensure I get the most insightful and actionable

00:13:34.299 --> 00:13:37.080
output from you, I need your help crafting the

00:13:37.080 --> 00:13:40.259
master prompt for this analysis. Please act as

00:13:40.259 --> 00:13:42.600
a world -class management consultant specializing

00:13:42.600 --> 00:13:45.740
in APAC retail expansion. What specific information,

00:13:46.139 --> 00:13:48.620
context, data points, and internal company details

00:13:48.620 --> 00:13:51.440
do you need for me to formulate the absolute

00:13:51.440 --> 00:13:53.860
best, most comprehensive prompt for generating

00:13:53.860 --> 00:13:56.700
the strategy? Ah, I see. You're asking the AI

00:13:56.700 --> 00:13:59.320
what it needs to do its best work. Exactly. The

00:13:59.320 --> 00:14:01.399
AI will then shift into that consultant persona

00:14:01.399 --> 00:14:03.259
and start asking you clarifying questions. It

00:14:03.259 --> 00:14:04.980
will essentially conduct a diagnostic interview.

00:14:05.139 --> 00:14:07.200
What kind of questions would it ask? Things like,

00:14:07.600 --> 00:14:10.360
OK, to help you craft the best prompt, please

00:14:10.360 --> 00:14:13.980
tell me, what is your brand's core value proposition

00:14:13.980 --> 00:14:17.909
and specific target demographic? Or what is your

00:14:17.909 --> 00:14:20.269
preliminary budget range for this market entry?

00:14:20.570 --> 00:14:23.009
Or what are your key success metrics for the

00:14:23.009 --> 00:14:25.529
first two years? Are there any known constraints

00:14:25.529 --> 00:14:27.750
like specific retail partners you must use or

00:14:27.750 --> 00:14:30.129
avoid? So it probes for all the critical details

00:14:30.129 --> 00:14:31.570
I might have forgotten to include initially.

00:14:31.769 --> 00:14:33.870
Precisely. You answer its questions, providing

00:14:33.870 --> 00:14:36.809
all that rich context. Then the AI takes all

00:14:36.809 --> 00:14:38.830
your answers and synthesizes them. And then gives

00:14:38.830 --> 00:14:42.980
me It gives you the final powerful custom -built

00:14:42.980 --> 00:14:46.240
master prompt. It might say, thank you. Based

00:14:46.240 --> 00:14:48.059
on the detailed information you provided, here

00:14:48.059 --> 00:14:50.299
is a comprehensive master prompt designed to

00:14:50.299 --> 00:14:53.179
generate a robust market entry strategy. Please

00:14:53.179 --> 00:14:56.149
use this as your next input. and then it will

00:14:56.149 --> 00:14:59.049
lay out a long detailed prompt like, act as a

00:14:59.049 --> 00:15:01.549
team of senior management consultants from McKinsey

00:15:01.549 --> 00:15:04.250
specializing in consumer retail and APAC market

00:15:04.250 --> 00:15:07.330
entry. Your client is a premium fitness apparel

00:15:07.330 --> 00:15:10.549
brand incorporating details you provided. Develop

00:15:10.549 --> 00:15:13.649
a phased market entry strategy for Vietnam, Thailand,

00:15:13.850 --> 00:15:16.250
and Singapore, considering specific factors you

00:15:16.250 --> 00:15:19.389
discussed. Wow. That's like having a free consultation

00:15:19.389 --> 00:15:21.610
with an expert strategist before you even start

00:15:21.610 --> 00:15:23.330
the main work. Yeah. And make sure you don't

00:15:23.330 --> 00:15:26.250
miss crucial angles. Exactly. It leverages the

00:15:26.250 --> 00:15:28.950
AI as an expert interviewer to get the best information

00:15:28.950 --> 00:15:30.889
out of you, dramatically improving the quality

00:15:30.889 --> 00:15:33.529
of the final output. It prevents those vague

00:15:33.529 --> 00:15:35.669
prompts that lead to vague answers. OK, meta

00:15:35.669 --> 00:15:37.429
prompting. I really like that one. What's technique

00:15:37.429 --> 00:15:39.830
number five? Number five is chain prompting,

00:15:39.929 --> 00:15:42.409
building a skyscraper of thought one floor at

00:15:42.409 --> 00:15:45.720
a time. Skyscraper of thought. Nice image. What

00:15:45.720 --> 00:15:48.559
does it mean in practice? It means that for really

00:15:48.559 --> 00:15:52.279
complex multi -stage tasks like developing a

00:15:52.279 --> 00:15:55.039
full business plan, outlining a book, designing

00:15:55.039 --> 00:15:57.440
a software feature, trying to do it all in one

00:15:57.440 --> 00:16:00.789
single mega prompt is usually inefficient. and

00:16:00.789 --> 00:16:03.649
leads to shallow results. Yeah, I can see the

00:16:03.649 --> 00:16:06.450
AI maybe losing track or glossing over details

00:16:06.450 --> 00:16:10.090
with one giant request. Exactly. Chain prompting

00:16:10.090 --> 00:16:12.889
breaks that massive task down into a logical

00:16:12.889 --> 00:16:15.870
sequence of smaller interconnected prompts. Each

00:16:15.870 --> 00:16:18.389
new prompt builds directly on the AI's response

00:16:18.389 --> 00:16:20.750
to the previous one. So you guide the AI step

00:16:20.750 --> 00:16:24.029
by step. Precisely. You maintain and deepen the

00:16:24.029 --> 00:16:26.669
context at each stage. You're essentially building

00:16:26.669 --> 00:16:29.210
the final output piece by piece, floor by floor,

00:16:29.529 --> 00:16:31.450
ensuring everything connects logically. Can we

00:16:31.450 --> 00:16:33.370
use an example, maybe launching something new?

00:16:33.610 --> 00:16:35.610
Perfect. Let's say you want to use AI to help

00:16:35.610 --> 00:16:38.190
you launch a new podcast called the AI Copilot

00:16:38.190 --> 00:16:40.690
aimed at business professionals. OK, sounds familiar.

00:16:41.009 --> 00:16:43.450
So prompt one wouldn't be write the whole podcast

00:16:43.450 --> 00:16:47.820
plan. No way. Prompt one, ideation. I'm launching

00:16:47.820 --> 00:16:50.080
a podcast in the business and technology space.

00:16:50.360 --> 00:16:53.440
Generate five unique podcast concepts. For each,

00:16:53.539 --> 00:16:56.019
include a target audience, a unique angle or

00:16:56.019 --> 00:16:58.519
hook, and a catchy name. Focus on current AI

00:16:58.519 --> 00:17:00.899
trends relevant to business leaders. OK, gives

00:17:00.899 --> 00:17:04.099
me five ideas. Then what? You pick one. Prompt

00:17:04.099 --> 00:17:07.019
two. Deepening the concept. Okay, I really like

00:17:07.019 --> 00:17:09.940
concept, hashtag three, the AI copilot. Let's

00:17:09.940 --> 00:17:12.720
flesh this out. Develop a detailed listener persona

00:17:12.720 --> 00:17:15.019
for this show. Who are they? What's their job

00:17:15.019 --> 00:17:17.460
title? Industry? Biggest professional challenges

00:17:17.460 --> 00:17:20.119
related to AI? What kind of content do they crave?

00:17:20.240 --> 00:17:22.799
So now we have a target listener. Next. Prompt

00:17:22.799 --> 00:17:25.980
three, content strategy. Excellent persona definition.

00:17:26.500 --> 00:17:28.200
Now, based specifically on this listener's needs

00:17:28.200 --> 00:17:31.039
and challenges, brainstorm 10 potential episode

00:17:31.039 --> 00:17:33.539
titles for the AI co -pilot. Suggest different

00:17:33.539 --> 00:17:35.940
formats, too. Maybe interviews, deep dives, case

00:17:35.940 --> 00:17:38.160
studies, Q &A sessions. Got it. We're building

00:17:38.160 --> 00:17:40.200
the content plan. And the final step in this

00:17:40.200 --> 00:17:43.579
chain. Prompt four, execution writing. Great

00:17:43.579 --> 00:17:46.680
episode ideas. Let's draft the intro script for

00:17:46.680 --> 00:17:49.619
the very first episode. Let's title it, Don't

00:17:49.619 --> 00:17:52.319
Fear the Bot, Making AI Your Strategic Partner.

00:17:52.779 --> 00:17:55.319
The script should be roughly 300 words, immediately

00:17:55.319 --> 00:17:57.799
hook the listener based on their persona, introduce

00:17:57.799 --> 00:18:00.019
the show's mission clearly, and set the right

00:18:00.019 --> 00:18:02.740
tone. I see. Each step builds on the last. The

00:18:02.740 --> 00:18:04.839
persona informs the titles, the title informs

00:18:04.839 --> 00:18:08.599
the script. It creates a much more coherent and

00:18:08.599 --> 00:18:11.500
strategically sound final product than just asking

00:18:11.500 --> 00:18:13.740
for everything. once. Exactly. You're creating

00:18:13.740 --> 00:18:16.619
a scaffolding for the AI's reasoning process.

00:18:16.960 --> 00:18:19.480
It prevents the AI from losing the plot on complex

00:18:19.480 --> 00:18:22.319
tasks. The context carries through and deepens,

00:18:22.440 --> 00:18:24.900
resulting in a far richer, more cohesive output.

00:18:25.019 --> 00:18:27.500
It's not just breaking down tasks. It's guiding

00:18:27.500 --> 00:18:30.079
the AI's thinking along a logical path. That's

00:18:30.079 --> 00:18:32.000
a great way to put it. Guiding the entire reasoning

00:18:32.000 --> 00:18:34.700
process. Okay. Technique six sounds really useful

00:18:34.700 --> 00:18:37.180
for avoiding blind spots. Perspective shifting,

00:18:37.420 --> 00:18:39.420
stress testing your ideas with a virtual boardroom.

00:18:39.579 --> 00:18:42.289
Yes. This one is all about recognizing that our

00:18:42.289 --> 00:18:44.829
own perspective is inherently limited. We all

00:18:44.829 --> 00:18:48.049
have biases and blind spots. This technique uses

00:18:48.049 --> 00:18:51.549
the AI to challenge those. How? By making it

00:18:51.549 --> 00:18:54.390
act like different people. Exactly. You ask the

00:18:54.390 --> 00:18:57.430
AI to adopt different specific personas or roles,

00:18:57.589 --> 00:18:59.490
roles that would naturally critique or question

00:18:59.490 --> 00:19:01.450
your idea from different angles. It's like having

00:19:01.450 --> 00:19:04.309
an on -demand red team or convening a virtual

00:19:04.309 --> 00:19:06.769
board of directors to pick your idea apart. Okay,

00:19:06.769 --> 00:19:08.970
give me an example. Let's say my team is developing

00:19:08.970 --> 00:19:11.849
a new software feature. Maybe an AI tool that

00:19:11.849 --> 00:19:13.910
automatically generates project status reports

00:19:13.910 --> 00:19:16.829
inside a tool like Asana or Trello. Great example.

00:19:16.910 --> 00:19:19.130
You've got the feature concept. Now let's stress

00:19:19.130 --> 00:19:21.109
test it using perspective shifting. So who do

00:19:21.109 --> 00:19:23.490
we ask the AI to be first? Maybe start with the

00:19:23.490 --> 00:19:26.650
money person. Perspective one. Skeptical CFO.

00:19:27.569 --> 00:19:30.500
Okay, AI. I want you act as the chief financial

00:19:30.500 --> 00:19:33.140
officer of our company. You are fiscally conservative

00:19:33.140 --> 00:19:36.420
and highly focused on ROI and risk. Review this

00:19:36.420 --> 00:19:39.279
proposed AI project status report feature. What

00:19:39.279 --> 00:19:41.700
are your primary concerns? Question the projected

00:19:41.700 --> 00:19:44.220
ROI. What are the potential financial risks,

00:19:44.559 --> 00:19:47.319
hidden development costs, or risks of increased

00:19:47.319 --> 00:19:49.200
customer churn if this doesn't work perfectly?

00:19:49.799 --> 00:19:52.539
Be critical. Ooh, tough questions. Okay, who's

00:19:52.539 --> 00:19:55.039
next? Maybe the user. Definitely. Perspective

00:19:55.039 --> 00:19:57.799
2, overworked project manager target user. Right,

00:19:57.859 --> 00:20:00.400
now shift perspective. Act as a busy project

00:20:00.400 --> 00:20:02.660
manager at a fast -paced digital agency, our

00:20:02.660 --> 00:20:05.319
key target user. You're juggling 10 projects,

00:20:05.559 --> 00:20:08.079
constantly in meetings. Realistically, how would

00:20:08.079 --> 00:20:10.619
this AI status report feature fit into your actual

00:20:10.619 --> 00:20:13.119
daily workflow? What are your immediate gut reactions

00:20:13.119 --> 00:20:14.759
or hesitations? What would make you say, wow,

00:20:14.779 --> 00:20:17.299
I desperately need this versus, oh, another tool

00:20:17.299 --> 00:20:19.380
gimmick I don't have time for? Getting the user's

00:20:19.380 --> 00:20:22.059
gut check. Smart. One more. Let's bring in support.

00:20:22.180 --> 00:20:25.220
Perspective 3. Head of customer support. Okay,

00:20:25.539 --> 00:20:27.960
final perspective. Act as our head of customer

00:20:27.960 --> 00:20:30.480
support. When this feature eventually launches,

00:20:31.019 --> 00:20:33.480
what kinds of support tickets, common questions,

00:20:33.660 --> 00:20:36.380
and customer complaints do you anticipate? What

00:20:36.380 --> 00:20:38.500
aspects are likely to be confusing for users

00:20:38.500 --> 00:20:41.460
initially? What training materials or resources

00:20:41.460 --> 00:20:44.000
will your support team need beforehand to handle

00:20:44.000 --> 00:20:46.299
this successfully? This is amazing. It's like

00:20:46.299 --> 00:20:49.099
you can instantly get critiques from finance,

00:20:49.480 --> 00:20:52.410
the actual user, and the support team. all before

00:20:52.410 --> 00:20:54.890
you've even written a line of code. Precisely.

00:20:55.029 --> 00:20:58.650
It forces a 360 -degree analysis. You get financial

00:20:58.650 --> 00:21:01.509
rigor, real -world usability concerns, and practical

00:21:01.509 --> 00:21:03.930
implementation challenges surfaced early. It

00:21:03.930 --> 00:21:06.390
leads to a much more robust, well -thought -out

00:21:06.390 --> 00:21:09.569
strategy or product. Okay, wow. Six powerful

00:21:09.569 --> 00:21:11.759
techniques. What's the seventh and final one?

00:21:11.960 --> 00:21:13.960
The seventh, and arguably one of the most powerful

00:21:13.960 --> 00:21:16.700
and underutilized techniques, is the self -evaluation

00:21:16.700 --> 00:21:19.420
loop forcing critical self -reflection. Self

00:21:19.420 --> 00:21:21.799
-evaluation. You mean asking the AI to critique

00:21:21.799 --> 00:21:24.880
itself? Exactly that. After the AI gives you

00:21:24.880 --> 00:21:27.079
a response, particularly for something complex

00:21:27.079 --> 00:21:29.720
like a strategy analysis or a piece of creative

00:21:29.720 --> 00:21:32.980
writing, you don't just accept it. You push back

00:21:32.980 --> 00:21:35.980
and ask the AI to critically review its own work.

00:21:36.619 --> 00:21:39.589
Oh. Why would I do that? Because it prompts the

00:21:39.589 --> 00:21:42.349
AI to perform a kind of second -pass analysis.

00:21:42.849 --> 00:21:45.670
It forces it to reconsider its initial output,

00:21:46.309 --> 00:21:49.089
identify potential logical gaps, challenge its

00:21:49.089 --> 00:21:51.869
own underlying assumptions, and often find areas

00:21:51.869 --> 00:21:54.150
for significant improvement or innovation that

00:21:54.150 --> 00:21:56.250
it missed the first time around. Interesting.

00:21:56.390 --> 00:21:58.230
Can you give an example of how that works? Let's

00:21:58.230 --> 00:22:00.609
stick with strategy. Imagine you run a meal kit

00:22:00.609 --> 00:22:03.529
delivery service, maybe like HelloFresh or Blue

00:22:03.529 --> 00:22:06.529
Apron. You ask the AI for a competitive analysis.

00:22:06.730 --> 00:22:09.769
So the initial prompt might be, analyze the marketing

00:22:09.769 --> 00:22:11.910
strategies of my top three competitors naming

00:22:11.910 --> 00:22:15.150
them. Based on that analysis, propose a differentiated

00:22:15.150 --> 00:22:17.369
marketing strategy for my brand for the next

00:22:17.369 --> 00:22:20.109
quarter. Right. And the AI gives you a solid,

00:22:20.210 --> 00:22:22.509
maybe decent, but likely somewhat predictable

00:22:22.509 --> 00:22:24.890
strategy based on common marketing tactics. OK,

00:22:25.049 --> 00:22:27.470
a standard response. Now how do I apply the self

00:22:27.470 --> 00:22:29.349
-evaluation loop? You follow up with something

00:22:29.349 --> 00:22:31.569
pointed, like this. Thank you for that initial

00:22:31.569 --> 00:22:34.670
strategy proposal. Now, I want you to critically

00:22:34.670 --> 00:22:37.289
evaluate your own recommendation. Put on your

00:22:37.289 --> 00:22:40.609
most skeptical hat. One, what crucial market

00:22:40.609 --> 00:22:44.109
factor or emerging consumer trend, GG, sustainability,

00:22:44.470 --> 00:22:47.029
specific dietary needs, economic pressures, might

00:22:47.029 --> 00:22:49.269
your strategy have overlooked or underestimated?

00:22:49.549 --> 00:22:52.609
Two, what are the single weakest or most questionable

00:22:52.609 --> 00:22:54.809
assumptions that your proposed strategy is built

00:22:54.809 --> 00:22:58.019
upon? Three, how could this strategy realistically

00:22:58.019 --> 00:23:00.559
backfire, or how could competitors easily copy

00:23:00.559 --> 00:23:03.720
or neutralize it? Four, finally, based on this

00:23:03.720 --> 00:23:06.960
critique, propose a more unconventional or asymmetric

00:23:06.960 --> 00:23:09.059
marketing angle, something unexpected that would

00:23:09.059 --> 00:23:11.380
be harder for competitors to replicate and could

00:23:11.380 --> 00:23:13.420
create a stronger competitive advantage for my

00:23:13.420 --> 00:23:16.519
brand. Whoa, that's asking it to really push

00:23:16.519 --> 00:23:18.279
beyond its first answer. What kind of results

00:23:18.279 --> 00:23:21.190
does that yield? often quite remarkable ones.

00:23:21.670 --> 00:23:24.809
It forces the AI to move beyond simple pattern

00:23:24.809 --> 00:23:27.869
matching or first -order thinking. It might suddenly

00:23:27.869 --> 00:23:30.750
identify the rising food as medicine, trend it

00:23:30.750 --> 00:23:33.089
initially missed, and suggest partnerships with

00:23:33.089 --> 00:23:35.910
nutritionists. It might question its own assumption

00:23:35.910 --> 00:23:37.990
about the primary target audience and suggest

00:23:37.990 --> 00:23:40.289
focusing on a niche demographic. So it leads

00:23:40.289 --> 00:23:42.509
to more resilient, maybe more innovative ideas.

00:23:42.690 --> 00:23:45.549
Exactly. More resilient and often much more innovative

00:23:45.549 --> 00:23:48.369
strategies because you've made the AI become

00:23:48.369 --> 00:23:51.079
its own toughest critic. It's like enabling meta

00:23:51.079 --> 00:23:53.519
cognition for the machine. It's incredibly powerful.

00:23:53.799 --> 00:23:56.720
Seven techniques. Transparent reasoning, reverse

00:23:56.720 --> 00:23:59.119
prompting, few -shot prompting, meta prompting,

00:23:59.279 --> 00:24:01.700
chain prompting, perspective shifting, and the

00:24:01.700 --> 00:24:04.319
self -evaluation loop. It's a fantastic toolkit,

00:24:04.619 --> 00:24:06.839
but just knowing them isn't enough, right? How

00:24:06.839 --> 00:24:08.940
do we actually internalize these and make them

00:24:08.940 --> 00:24:11.039
part of our regular workflow? That's the perfect

00:24:11.039 --> 00:24:13.640
question. It leads us to the final piece. Building

00:24:13.640 --> 00:24:16.119
your personal prompt playbook, systematizing

00:24:16.119 --> 00:24:18.680
your success. A playbook. I like the sound of

00:24:18.680 --> 00:24:21.359
that. It's crucial. Knowing the techniques is

00:24:21.359 --> 00:24:24.019
step one. Making them second nature is step two.

00:24:24.480 --> 00:24:26.839
And a playbook helps you do that. So how do we

00:24:26.839 --> 00:24:28.960
build this playbook? What are the steps? It's

00:24:28.960 --> 00:24:32.160
pretty straightforward. Step one, create your

00:24:32.160 --> 00:24:35.019
central playbook document. Use whatever tool

00:24:35.019 --> 00:24:38.549
works for you. Notion, Google Docs, Obsidian,

00:24:38.809 --> 00:24:41.109
Evernote, even just a simple text file. Okay,

00:24:41.150 --> 00:24:43.410
got my document. What goes in it? For each of

00:24:43.410 --> 00:24:45.630
the seven techniques we just discussed, create

00:24:45.630 --> 00:24:48.750
a heading. Under each heading, briefly summarize

00:24:48.750 --> 00:24:52.609
in your own words. What is this technique? When

00:24:52.609 --> 00:24:54.950
is the best time to use it? And this is key.

00:24:55.349 --> 00:24:57.650
Include a go -to prompt template or starting

00:24:57.650 --> 00:25:00.069
phrase based on your own typical work. make it

00:25:00.069 --> 00:25:02.190
relevant to you. So I personalize the examples.

00:25:02.609 --> 00:25:05.170
Exactly. Step two, configure your AI workspace.

00:25:05.630 --> 00:25:08.569
Many AI tools, especially ChatGPT, have a feature

00:25:08.569 --> 00:25:10.609
often called custom instructions or something

00:25:10.609 --> 00:25:13.349
similar. This is where you embed your core principles.

00:25:13.450 --> 00:25:15.029
How does that work? What do I put there? There

00:25:15.029 --> 00:25:18.029
are usually two parts. In the first part, what

00:25:18.029 --> 00:25:20.589
would you like the AI to know about you to provide

00:25:20.589 --> 00:25:23.930
better responses? Well, you briefly describe

00:25:23.930 --> 00:25:27.519
your role, your industry, your main goals. maybe

00:25:27.519 --> 00:25:30.119
your typical audience, just the core context

00:25:30.119 --> 00:25:32.500
about you. Okay, setting my personal context.

00:25:32.700 --> 00:25:34.579
And in the second part, how would you like the

00:25:34.579 --> 00:25:37.779
AI to respond? Okay, you set your ground rules

00:25:37.779 --> 00:25:39.940
based on the techniques. You might write something

00:25:39.940 --> 00:25:42.819
like, always respond from the perspective of

00:25:42.819 --> 00:25:46.000
a senior strategic advisor in my field. Before

00:25:46.000 --> 00:25:48.880
tackling complex requests, always ask clarifying

00:25:48.880 --> 00:25:51.819
questions to ensure you have full context, reference,

00:25:51.859 --> 00:25:54.640
transparent reasoning. When generating strategic

00:25:54.640 --> 00:25:57.000
options, always consider multiple perspectives

00:25:57.000 --> 00:25:59.660
mentioning perspective shifting. When evaluating

00:25:59.660 --> 00:26:02.480
ideas, apply critical thinking and identify assumptions

00:26:02.480 --> 00:26:05.160
referencing self -evaluation. Strive for depth,

00:26:05.440 --> 00:26:07.859
originality, and actionable insights over generic

00:26:07.859 --> 00:26:10.339
summaries. Wow. So you're essentially preloading

00:26:10.339 --> 00:26:12.700
the AI with your preferred way of working. based

00:26:12.700 --> 00:26:14.740
on these techniques. Precisely. It sets the stage

00:26:14.740 --> 00:26:16.740
for every conversation. And the final step, step

00:26:16.740 --> 00:26:20.119
three, is integrate and iterate. Meaning, actually

00:26:20.119 --> 00:26:23.420
use your playbook. When you start a new complex

00:26:23.420 --> 00:26:26.819
task with the AI, glance at your playbook. Maybe

00:26:26.819 --> 00:26:29.859
start the conversation by saying, OK, AI, referencing

00:26:29.859 --> 00:26:32.000
my custom instructions and playbook, let's use

00:26:32.000 --> 00:26:34.019
the meta -prompting technique to figure out the

00:26:34.019 --> 00:26:36.680
best way to approach analyzing this market research

00:26:36.680 --> 00:26:39.640
report. So you actively reference your system.

00:26:39.839 --> 00:26:43.720
Yes. And crucially, iterate. When you craft a

00:26:43.720 --> 00:26:46.240
prompt, perhaps using chain prompting or few

00:26:46.240 --> 00:26:48.759
shot and it yields exceptionally good results,

00:26:49.339 --> 00:26:52.099
copy that successful prompt structure into your

00:26:52.099 --> 00:26:55.000
playbook under the relevant technique. Your playbook

00:26:55.000 --> 00:26:57.599
becomes a living document constantly refined

00:26:57.599 --> 00:26:59.519
with what works best for you. That's brilliant.

00:26:59.660 --> 00:27:01.759
It's not just about using AI anymore. It's about

00:27:01.759 --> 00:27:04.160
building and optimizing your personal interaction

00:27:04.160 --> 00:27:06.720
system with it, making it truly yours. It becomes

00:27:06.720 --> 00:27:09.759
a personalized extension of the AI's brain tailored

00:27:09.759 --> 00:27:12.680
to your specific needs and goals. OK, so as we

00:27:12.680 --> 00:27:14.319
wrap up this deep dive, let's bring it all together.

00:27:14.400 --> 00:27:16.559
What's the main takeaway here? The core message,

00:27:16.579 --> 00:27:19.359
really, is that mastering AI interaction isn't

00:27:19.359 --> 00:27:21.480
fundamentally a technical skill you need to learn,

00:27:21.619 --> 00:27:23.839
like coding. It's primarily a cognitive skill.

00:27:24.180 --> 00:27:27.289
A thinking skill. Yes. It's about learning to

00:27:27.289 --> 00:27:29.490
communicate your thoughts, your context, your

00:27:29.490 --> 00:27:32.269
intentions with much greater clarity and precision.

00:27:32.650 --> 00:27:35.329
And these seven techniques we covered. Transparent

00:27:35.329 --> 00:27:37.890
reasoning, reverse prompting, few -shot prompting,

00:27:38.069 --> 00:27:40.549
meta prompting, chain prompting, perspective

00:27:40.549 --> 00:27:44.049
shifting, and self -evaluation. They aren't just

00:27:44.049 --> 00:27:46.670
clever tricks. Think of them as powerful frameworks

00:27:46.670 --> 00:27:49.450
for better thinking and better communication

00:27:49.450 --> 00:27:52.220
with your AI partner. So for everyone listening,

00:27:52.480 --> 00:27:54.160
what's the challenge? What's one thing they can

00:27:54.160 --> 00:27:56.039
do this week? Let's make it super actionable.

00:27:56.519 --> 00:27:59.740
Your challenge is this. Pick just one of these

00:27:59.740 --> 00:28:02.619
seven techniques this week. Just one. And consciously

00:28:02.619 --> 00:28:04.759
apply it to a real task you're doing with AI.

00:28:05.220 --> 00:28:07.569
OK, like what? If you're creating any kind of

00:28:07.569 --> 00:28:10.829
content, emails, posts, reports, try few -shot

00:28:10.829 --> 00:28:13.529
prompting. Grab two or three examples of your

00:28:13.529 --> 00:28:15.829
own best work in that format and put them right

00:28:15.829 --> 00:28:18.049
into the prompt before your request. Good one.

00:28:18.150 --> 00:28:20.549
What else? If you're working on any kind of strategy

00:28:20.549 --> 00:28:23.710
or analysis, try the self -evaluation loop. After

00:28:23.710 --> 00:28:26.990
the AI gives you its first take, push back, ask

00:28:26.990 --> 00:28:29.150
it to critique its own assumptions and suggest

00:28:29.150 --> 00:28:32.029
unconventional alternatives. Or maybe if you're

00:28:32.029 --> 00:28:33.809
just starting something new. If you're kicking

00:28:33.809 --> 00:28:36.650
off a new project or tackling a complex problem,

00:28:37.029 --> 00:28:39.750
start with meta -prompting. Ask the AI to help

00:28:39.750 --> 00:28:41.990
you figure out the best way to even ask the question

00:28:41.990 --> 00:28:44.170
in the first place. Just pick one technique and

00:28:44.170 --> 00:28:47.089
try it. Excellent. And the final thought to leave

00:28:47.089 --> 00:28:50.089
people with. It's this. When you start treating

00:28:50.089 --> 00:28:52.809
your AI less like a vending machine and more

00:28:52.809 --> 00:28:56.269
like that smart, context -hungry junior colleague,

00:28:56.970 --> 00:28:59.250
when you brief it thoughtfully using these kinds

00:28:59.250 --> 00:29:02.289
of techniques, you will unlock a level of productivity,

00:29:02.809 --> 00:29:04.950
creativity, and insight that might genuinely

00:29:04.950 --> 00:29:07.619
surprise you. Ultimately, the quality of the

00:29:07.619 --> 00:29:10.160
AI's output will start to mirror the quality

00:29:10.160 --> 00:29:12.039
and clarity of your thinking and communication.

00:29:12.779 --> 00:29:14.900
Every interaction can shift from a simple query

00:29:14.900 --> 00:29:17.920
response to a powerful strategic dialogue. So

00:29:17.920 --> 00:29:20.079
what does this all mean for you listening? It

00:29:20.079 --> 00:29:22.559
means your AI is absolutely ready to become your

00:29:22.559 --> 00:29:24.779
most powerful thinking partner. You just need

00:29:24.779 --> 00:29:27.660
to learn how to have that truly meaningful, context

00:29:27.660 --> 00:29:28.599
-rich conversation.
