WEBVTT

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Have you ever had that feeling, that little flicker

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of annoyance? You ask a powerful AI, you know,

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maybe chat GPT, for something simple. Yeah. Like,

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just a short email. Maybe a summary. And what

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comes back is confusing. Or super complicated.

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Right. Overly complicated, or sometimes just

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plain wrong. Uh -huh. And you spend, what, 10

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minutes trying to fix it, and then you just go,

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you know what? Forget it. I'll just do this myself.

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It's faster. It feels faster. Mm -hmm. And that

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happens because... Honestly, most of us, we're

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using these incredibly powerful AI tools kind

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of the wrong way. How so? We treat them like

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a slightly smarter Google, a talking search engine.

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And we're just missing the real potential there.

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OK. Welcome to the deep dive today. Our mission

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is really to get past that basic prompting that

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surface level stuff and unlock the actual efficient

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power hidden in generative AI Yeah, absolutely.

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We boiled it down to six simple skills and these

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aren't like coding skills or anything super technical.

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They're more like Shifts in how you approach

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it and these shifts can turn AI from being this

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frustrating roadblock into a genuinely efficient

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teammate One that actually gives you what you

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need. Okay, so let's map this out. We're going

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to cover the whole workflow, basically. Starting

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with building your toolkit, your AI team, if

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you will. Right. Then getting really clear on

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what you want before you pipe anything. Crucial.

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How to give clear instructions, the absolute

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necessity of checking the AI's work. Verification,

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yeah. Then using these tools together, stacking

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them, and finally adding that indispensable human

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touch, the polish. Okay, let's dive in. Skill

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number one. Which is... Stop trying to make one

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tool do everything. This is, I think, the biggest

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foundational mistake. People grab one AI, usually

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Chad GPT, and expect it to handle 100 % of their

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tasks. Right. But that's just, it's illogical,

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isn't it? Like, you wouldn't hire a fantastic

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baker to fix your motorbike. No. Or ask your

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accountant to design the company logo. Doesn't

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make sense. Right, and yet we somehow expect

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one single AI model to write great emails, analyze

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complex spreadsheets, draft code, and create

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stunning images. It's setting it up to fail.

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You need specialists, a team. Exactly, a team.

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I like to group them into three main categories

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that you really need. First up, the brains. Okay.

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These are your large language models, the LLMs.

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They're the generalists, the thinkers. Good for

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talking, writing, brainstorming, that kind of

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stuff. And knowing the specific ones helps, because

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they do have different strengths. Like, chat

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GPT is kind of the Swiss army knife, right? Good

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for first drafts, quick ideas. Collectible, but

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Gemini, because it's Google, tends to be better

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if you need something about current events or

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recent news. It's more plugged in. For sure.

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And if you need writing that feels really human,

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my personal favorite is Claude. I find it's consistently

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better for more, say, emotional writing, like

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a blog post. Or, and this is key, summarizing

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really long documents. Like, if you throw a 100

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-page PDF at it, Claude generally handles that

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long context better than others. Interesting.

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OK, so that's the brains. Group two. The researchers.

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And this is critical. You really shouldn't trust

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a brain AI for hard facts, ever. Right. You need

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a dedicated fact checker. Yeah. For me, Perplexity

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is a daily driver. It's essentially a much better

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search engine because it shows its work. How

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so? It gives you the information, but also shows

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exactly where it came from with direct links

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you can check, verifiable sources. It's a must

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have. OK. And then there's Notebook LM. Which

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is pretty fascinating. It doesn't search the

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web. It searches your stuff. My own documents.

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Your uploaded notes, PDFs, research papers. You

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can basically have a conversation with your personal

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library. Wow, okay. And the third group. The

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creators. These are for visuals. Yeah. The Journey

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is famous for those incredibly detailed, often

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beautiful images. But you have to use Discord,

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which is a bit of a hurdle for some. It is, yeah.

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But then there's ideogram. An ideogram is fantastic

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for one... really practical reason. Which is?

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It's actually pretty good at putting text, like

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words, onto images without messing it up completely.

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Ah, the classic AI text problem. Exactly. It's

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still a major weakness for most image AIs, but

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ideogram handles it much better. So for someone

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just starting out, what's the minimum toolkit?

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Keep it simple. Start with one brain, maybe chat

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GPT, one researcher, definitely perplexity, and

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maybe one creator. like ideogram, if you need

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images with text. So the big takeaway here seems

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to be that separating the thinking tools, the

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brains, from the fact -checking tools, the researchers,

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is absolutely fundamental. Absolutely. It prevents

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those confident -sounding factual errors right

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from the start. It avoids misuse. So why is separating

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tools by function brains versus researchers the

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foundational step for mastery? Because it stops

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powerful LLMs from confidently making stuff up

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when you need accuracy. prevents fabricated facts.

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OK, that makes sense. Which brings us neatly

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to skill number two. Clarify the problem. Know

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what you actually want. Yes. This is probably

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the single biggest time saver. What do beginners

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usually do? They open chat GPT and just type

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a vague thought, right? Experts. They pause just

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for like 30 seconds. They think first. Because

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if your question isn't clear, the answer you

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get back is never going to be clear. It sounds

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simple, but. Think about it like this. The I'm

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hungry analogy. If you call a friend and just

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say, hey, I'm hungry. What can they do? Not much,

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right? Right. Where do you start? But if you

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say, OK, I'm hungry. I'm feeling like Vietnamese

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food, but nothing spicy. And I've got about $100

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budget. Now what happens? Yeah, they can actually

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help. They have specifics. Exactly. They can

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act immediately. AI is like that helpful but

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naive friend. It needs specifics. So I always

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recommend this quick 30 second pause checklist

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before typing. OK, what's on it? First. What

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is the real, specific, final result I need? Not

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just write an email. More like... More like,

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write a polite email to my boss asking for next

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Friday off, making sure to mention that Project

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X and Report Y are already completed. See the

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difference. Yeah, much clearer. Okay, what's

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next? Second, who is this actually for? The audience's

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everything for tone is for your boss, an angry

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customer. You're friendly social media followers.

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That changes everything. Vocabulary. Formality.

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Right. Third. Third. What does a good answer

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look like, structurally? Do I want a bullet point

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list? A short, concise paragraph? Maybe a table

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comparing options? Define the format. So those

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details, the goal, the audience, the format,

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those are the constraints the AI needs to succeed.

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They are. And honestly, I gotta admit something

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here. I won. Even now, I still sometimes wrestle

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with prompt drift myself. and the conversation

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goes off track. It usually happens when I rush

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and skip this initial planning step. So it happens

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to everyone. Oh, yeah. We all fall into that

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trap of vagueness if we don't consciously pause

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and clarify first. So how does pre -defining

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the desired final result format save the most

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time? A clear problem is 90 % of the solution

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beat. It just cuts out all that back and forth

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editing. Right. It eliminates the need for endless

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revisions because you got closer the first time.

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Precisely. And if avoiding edits is the goal,

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that leads us right into skill three. Communicate

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well, giving clear instructions. You mentioned

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prompting. Yeah, and I kind of hate that word

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prompting. It sounds so technical, so jargon

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-y. Just think of the AI like a brand new assistant.

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Super smart, incredibly tireless, never gets

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bored, but also completely naive. They need really

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clear step -by -step instructions to do good

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work. You can't just hint at things. OK, but

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wait. A lot of the advice you see online involves

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using these really complex multi -part frameworks

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for prompts, like a six -part structure. Doesn't

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that feel like writing a whole project plan just

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to ask for an email? Is that really faster than

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just typing a simple request? Seems like overkill.

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It can feel like overkill up front. I get that.

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But it's about structure. And that structure

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actually saves you time down the line, especially

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for important tasks. It gives you a repeatable

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formula. So the six -part framework, what is

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it? It's basically a checklist to make sure you

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cover all the bases. Role, context, task, format,

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rules, and sometimes an example. Okay, let's

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see it in action. Like a bad prompt versus a

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good one. Sure. Bad prompt. Write a social media

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post about drinking water. Vague. Generic. What

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do you get back? Probably something boring. Totally

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boring. Now the good prompt. Using the framework,

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role. You are a friendly, knowledgeable health

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expert. Okay, persona set. Context. This is for

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busy office workers scrolling Facebook during

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their lunch break. Audience and platform. Got

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it. Task. Write a 100 -word post focusing on

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three surprising benefits of staying hydrated.

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Specific action. Format. Start with an engaging

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question. Use bullet points for the benefits.

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End with a simple call to action. Structure defined.

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Rules. Do not use complex medical jargon. Keep

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the language simple and encouraging. Boundary

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set? Example. Maybe use a style like this. Feeling

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that 3 p .m. slump. Maybe you just need water.

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Ah, so you give it a style guide too. That detailed

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prompt completely changes the game. Right. It

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turns that vague idea into a concrete, executable

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plan that the AI can actually follow properly.

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So beyond just complexity, what's the most important

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role that six -part framework fills for a beginner?

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It structures scattered thoughts, beat, turns

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ideas into an actionable project plan for the

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AI. OK, that makes sense. What other techniques

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help with communication? Technique two is one

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I really love, especially with newer AIs. Show

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it. Don't just tell it. I mean. Use the vision

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capabilities. Instead of spending five minutes

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trying to describe, say, the simple and clean

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aesthetic of a website you like. Which is hard

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to describe accurately. Right. Just take a screenshot

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and upload it. Say, match this style. The result

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is usually way faster and 10 times closer to

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what you wanted. Oh, that's smart. OK, technique

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three. Ask the AI for help. Seriously. If you

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get a boring answer, tell the AI, say, that last

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response was a bit dull. How could I rewrite

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my prompt to get something more creative or fun?

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Use its own knowledge against it, kind of? Exactly.

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Leverage its understanding of how it works best.

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It often gives great suggestions for improving

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your own prompts. and technique four. Do it again,

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but better. This is simple but powerful. After

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the AI gives you an answer, just ask it. Okay,

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read your answer again. Find three specific things

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you could improve. Then give me the new, better

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version. Huh, you make it critique itself. Yep.

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You basically build in a quality control loop

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without doing the editing yourself initially.

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So by using these frameworks and techniques,

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we shift from just asking for stuff to actually

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directing a process, directing the AI. That's

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the perfect way to put it. You're the director.

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And now that we have the content created, we

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absolutely need to talk about safety verification.

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Right. The trust issue. OK, let's take a quick

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pause here. And when we come back, we'll tackle

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verification and how to combine these tools effectively.

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Mid -roll sponsor break. Welcome back to the

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deep dive. We've talked about choosing tools,

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clarifying intent, and communicating effectively.

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Now let's hit skill number four, verification,

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addressing that big fear. Yeah, this is probably

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the number one concern people have, right? Using

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wrong information from AI. And the hard truth

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is AI can be a very, very confident liar. They

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call it hallucination. Right. Which is just a

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fancy word for making stuff up. Right. But it

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does it with such confidence. Yeah. So your mantra

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has to be, trust, but always check. OK. So how

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do we check? Method one. Use the researcher tool

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we talked about earlier. Never, ever take a specific

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fact or number from a brain AI like ChatGPT at

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face value. And never. Not if accuracy matters.

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So if ChatGPT says, studies show 80 % of office

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workers experience back pain, What do you do?

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Check it somewhere else. Exactly. Copy that exact

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sentence. 80 % of office workers have back pain

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and paste it straight into perplexity. And perplexity

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will? Perplexity will go find actual studies

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and sources. It might come back showing, well,

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study A found 60%. Study B over here found 75%.

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And crucially, it will give you the links. Ah,

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so you get the real data plus the proof. Precisely.

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Now you have reliable information, not just an

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AI's assertion. OK, that's solid. Method two.

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Force the source. Ask the AI directly within

00:12:25.740 --> 00:12:27.899
the chat. Where did you get that specific piece

00:12:27.899 --> 00:12:29.820
of information? Can you give me the name of the

00:12:29.820 --> 00:12:32.179
original article or study or maybe a link? And

00:12:32.179 --> 00:12:34.539
what if it avoids the question? That's your red

00:12:34.539 --> 00:12:37.379
flag. If it gives you a vague answer like, as

00:12:37.379 --> 00:12:40.080
an AI language model, I access information from

00:12:40.080 --> 00:12:43.200
a vast database. The classic dodge. That's a

00:12:43.200 --> 00:12:44.919
huge warning sign. I probably fabricated it.

00:12:45.080 --> 00:12:48.159
Oh, and a little trick here. Start the conversation

00:12:48.159 --> 00:12:51.440
by explicitly giving the AI permission to not

00:12:51.440 --> 00:12:53.220
know. What do you mean? Tell it right at the

00:12:53.220 --> 00:12:55.019
beginning. Hey, if you're not sure about something

00:12:55.019 --> 00:12:56.600
or you don't know the answer, please just say,

00:12:56.639 --> 00:12:59.220
I don't know. Ah, that lowers the pressure for

00:12:59.220 --> 00:13:01.960
it to invent an answer. Exactly. It preempts

00:13:01.960 --> 00:13:03.779
some of the fabrication tendency. It's smart.

00:13:04.039 --> 00:13:07.059
OK, method three for verification. Get a second

00:13:07.059 --> 00:13:10.059
opinion. This is super easy. Take the answer

00:13:10.059 --> 00:13:14.220
you got from one AI, say chat GPT, copy it, and

00:13:14.220 --> 00:13:17.279
paste it into a competitor. Go ask Claude or

00:13:17.279 --> 00:13:19.600
Gemini, can you review this answer? Are there

00:13:19.600 --> 00:13:22.000
any mistakes or important things missing? Use

00:13:22.000 --> 00:13:25.940
AIs to check other AIs. Yep. They're often surprisingly

00:13:25.940 --> 00:13:28.259
good at catching each other's errors or omissions.

00:13:28.460 --> 00:13:31.480
It takes maybe 10 seconds and significantly boosts

00:13:31.480 --> 00:13:34.059
your confidence in the result. Why is deliberately

00:13:34.059 --> 00:13:37.700
asking the AI to show its source so essential

00:13:37.700 --> 00:13:40.980
now? It directly challenges the AI's tendency

00:13:40.980 --> 00:13:45.259
to make things up with total confidence. BEAT

00:13:45.259 --> 00:13:47.740
confronts that confident fabrication head on.

00:13:47.899 --> 00:13:50.639
Okay, so verification is non -negotiable for

00:13:50.639 --> 00:13:53.379
building trust. That leads us to skill five,

00:13:53.840 --> 00:13:56.539
combine your work, stacking the tools. Right,

00:13:56.700 --> 00:13:59.500
because the real magic, the real efficiency boost,

00:13:59.899 --> 00:14:01.740
happens when you get these specialized tools

00:14:01.740 --> 00:14:04.840
working together. Think of it like a band again.

00:14:05.000 --> 00:14:07.360
Okay. You don't just want a drummer. You need

00:14:07.360 --> 00:14:10.379
the drums, the guitar, the bass player, the singer,

00:14:10.899 --> 00:14:13.879
each specializing. but playing together in harmony.

00:14:14.139 --> 00:14:16.039
And we're talking about manual stacking here,

00:14:16.139 --> 00:14:18.000
right? Where we are the ones coordinating the

00:14:18.000 --> 00:14:20.220
different tools. Exactly. You are the director,

00:14:20.600 --> 00:14:22.659
passing the work from one specialist to the next.

00:14:22.980 --> 00:14:25.820
Automation with things like Zapier or N8N is

00:14:25.820 --> 00:14:28.240
possible later, but master this manual stacking

00:14:28.240 --> 00:14:30.360
first. Let's walk through an example. Say the

00:14:30.360 --> 00:14:32.820
goal is a well -researched blog post about hobbies

00:14:32.820 --> 00:14:34.759
that reduce stress. How does the stacking work?

00:14:34.899 --> 00:14:37.840
Okay, step one, the researcher. You go to perplexity,

00:14:38.080 --> 00:14:41.580
ask it. Find five science -backed hobbies proven

00:14:41.580 --> 00:14:44.519
to reduce stress. Please include links to the

00:14:44.519 --> 00:14:47.259
studies or sources. Proplexity does that, gives

00:14:47.259 --> 00:14:49.100
you the list with verification. Okay, research

00:14:49.100 --> 00:14:53.019
done. Step two. Step two, the brain. You take

00:14:53.019 --> 00:14:55.940
that verified research from Proplexity and go

00:14:55.940 --> 00:14:58.379
to Claude, maybe. Why Claude? Because we want

00:14:58.379 --> 00:15:00.899
a warm, engaging tone, right? So you give Claude

00:15:00.899 --> 00:15:04.320
the role. You're a warm, empathetic, mental health

00:15:04.320 --> 00:15:06.679
blogger. Got it. Then you give it the research

00:15:06.679 --> 00:15:10.360
and the task. Write a 500 -word blog post based

00:15:10.360 --> 00:15:12.639
only on the provided research points about these

00:15:12.639 --> 00:15:14.919
five hobbies. Based only on the research. Key

00:15:14.919 --> 00:15:17.759
constraint. Crucial. So Claude writes the draft.

00:15:18.159 --> 00:15:20.960
Now step three. The visuals. The creator. Exactly.

00:15:21.039 --> 00:15:23.399
You go to ideogram, you ask it to create a custom

00:15:23.399 --> 00:15:25.179
image, maybe something cozy, showing someone

00:15:25.179 --> 00:15:27.820
watering plants or knitting, matching the blog's

00:15:27.820 --> 00:15:30.519
theme. Okay. So research, write, illustrate,

00:15:30.779 --> 00:15:33.440
using specialized tools for each step. And what's

00:15:33.440 --> 00:15:36.570
the result? in maybe, I don't know, 15, 20 minutes.

00:15:37.070 --> 00:15:38.929
You have a thoroughly researched, well -written

00:15:38.929 --> 00:15:41.409
blog post with custom visuals. The quality you

00:15:41.409 --> 00:15:44.610
get from that workflow, it's just leagues beyond

00:15:44.610 --> 00:15:48.509
asking one single AI to write a blog post about

00:15:48.509 --> 00:15:51.929
stress. Whoa. Yeah, I can see that. And imagine

00:15:51.929 --> 00:15:55.070
scaling that kind of researched quality workflow

00:15:55.070 --> 00:15:57.929
across tons of different... tasks or queries.

00:15:58.070 --> 00:16:00.129
That's the transformative potential right there.

00:16:00.309 --> 00:16:02.909
Real efficiency, but also high quality. So what's

00:16:02.909 --> 00:16:04.850
the biggest advantage of this manual stacking

00:16:04.850 --> 00:16:07.570
compared to just using one tool? Guaranteed quality

00:16:07.570 --> 00:16:10.169
by using each tool's proven strength for its

00:16:10.169 --> 00:16:13.470
specific job. Beat. Leverage a specialization

00:16:13.470 --> 00:16:16.190
for a better outcome. Excellent. Okay, that brings

00:16:16.190 --> 00:16:18.029
us to the final, and you said maybe the most

00:16:18.029 --> 00:16:20.710
crucial, skill. Skill number six, the human polish.

00:16:20.850 --> 00:16:24.049
Yes, the final touch. Because, let's be honest,

00:16:24.169 --> 00:16:27.559
a lot of raw AI content, it feels Cold. Generic.

00:16:27.679 --> 00:16:30.159
Corporate. Yeah, all of that. Yeah. Devoid of

00:16:30.159 --> 00:16:32.179
real personality. And the second a reader senses,

00:16:32.299 --> 00:16:34.720
oh, a robot wrote this. What happens? They disconnect.

00:16:34.840 --> 00:16:37.600
They stop trusting it. Exactly. Because AI, for

00:16:37.600 --> 00:16:40.480
all its power, lacks three key human elements,

00:16:40.840 --> 00:16:43.360
vision, taste, and care. And providing those,

00:16:43.399 --> 00:16:45.659
that's still our job. OK, I understand the goal

00:16:45.659 --> 00:16:48.100
making it feel human. But isn't spending time

00:16:48.100 --> 00:16:50.200
polishing the text after the AI did the heavy

00:16:50.200 --> 00:16:53.580
lifting kind of inefficient? If the goal is speed.

00:16:53.850 --> 00:16:55.889
Why slow down at the very end? That's a fair

00:16:55.889 --> 00:16:58.309
question. But think about the 80 -20 rule. Primitive

00:16:58.309 --> 00:17:01.210
principle. Right. Let the AI handle the 80 %

00:17:01.210 --> 00:17:03.090
of the initial draft, the research compilation,

00:17:03.230 --> 00:17:05.369
the outlining. That's where the massive time

00:17:05.369 --> 00:17:08.630
savings are. But that last 20%, that's the human

00:17:08.630 --> 00:17:11.289
polish. And that 20 % is where the value is added.

00:17:11.410 --> 00:17:14.630
That's where you turn a fine or OK draft into

00:17:14.630 --> 00:17:18.029
something genuinely great, something that connects,

00:17:18.170 --> 00:17:20.230
that people actually trust, remember, and share.

00:17:20.410 --> 00:17:22.289
It's the difference between competent and compelling.

00:17:22.539 --> 00:17:25.799
Okay, I am sold on the why. Now how? What does

00:17:25.799 --> 00:17:28.099
this human polish actually look like in practice?

00:17:28.500 --> 00:17:30.980
Technique one. Technique one. Add your voice.

00:17:31.240 --> 00:17:33.779
Inject your vision. AI gives you general truths.

00:17:34.240 --> 00:17:36.440
You replace them with specific stories, anecdotes,

00:17:36.920 --> 00:17:39.319
personality. Insanity. AI might write, consistency

00:17:39.319 --> 00:17:42.200
is key to achieving fitness goals. Which is true,

00:17:42.740 --> 00:17:47.170
but, eh. Your human polish adds a story. My old

00:17:47.170 --> 00:17:49.349
track coach used to hammer this into us. He'd

00:17:49.349 --> 00:17:51.849
say you don't get faster on the days You feel

00:17:51.849 --> 00:17:54.210
great and want to run you get faster on the days.

00:17:54.210 --> 00:17:56.450
It's raining You're tired and you run anyway

00:17:56.450 --> 00:18:00.269
much more memorable connects better. Okay technique

00:18:00.269 --> 00:18:05.250
to cut the AI words Exercise your taste AI loves

00:18:05.250 --> 00:18:10.930
empty formal jargon like what? Oh, you know In

00:18:10.930 --> 00:18:14.349
the context of furthermore a it is imperative

00:18:14.349 --> 00:18:18.500
that In today's fast -paced digital world, ugh.

00:18:19.099 --> 00:18:21.119
Yeah, those definitely scream AI -generated.

00:18:21.279 --> 00:18:23.539
Delete them. Simplify the language. Make it sound

00:18:23.539 --> 00:18:26.140
like a real person talking. Use shorter sentences.

00:18:26.299 --> 00:18:28.779
Use contractions. That's taste. Got it. And technique

00:18:28.779 --> 00:18:32.220
three. Add connection. Show some care. Insert

00:18:32.220 --> 00:18:35.039
empathy. AI is often very cold and instructional.

00:18:35.200 --> 00:18:38.029
Example of that. Yeah, might output. Users experiencing

00:18:38.029 --> 00:18:39.970
login difficulties should follow the prescribed

00:18:39.970 --> 00:18:42.589
password reset procedure. Super robotic. You're

00:18:42.589 --> 00:18:44.349
already detached. Your human polish changes it

00:18:44.349 --> 00:18:46.069
too. I know it's incredibly annoying when you

00:18:46.069 --> 00:18:48.109
get locked out of your account. Honestly, we've

00:18:48.109 --> 00:18:49.789
all been there. Here's the quickest way to reset

00:18:49.789 --> 00:18:52.789
your password. That little bit of empathy, we've

00:18:52.789 --> 00:18:55.230
all been there, totally changes the feeling.

00:18:55.690 --> 00:18:57.650
Completely. It shifts the dynamic instantly.

00:18:58.069 --> 00:19:00.430
How does adding personal stories and empathy

00:19:00.430 --> 00:19:02.990
fundamentally change the reader's relationship

00:19:02.990 --> 00:19:05.700
with the content? It moves it from machine -to

00:19:05.700 --> 00:19:08.140
-machine instruction to human -to -human connection.

00:19:08.799 --> 00:19:11.920
Beat. Builds trust and relatability instantly.

00:19:12.099 --> 00:19:13.940
Okay, let's pull this all together then. A recap

00:19:13.940 --> 00:19:16.460
of the process. Yeah, let's summarize. We covered

00:19:16.460 --> 00:19:19.400
the six core skills. First, choose your specialized

00:19:19.400 --> 00:19:23.000
tools. Build that AI team. Second, clarify your

00:19:23.000 --> 00:19:25.119
problem before you start typing. Know your goal.

00:19:25.589 --> 00:19:29.269
Third, communicate clearly used frameworks. Show,

00:19:29.390 --> 00:19:32.150
don't tell. Fourth, and this is huge, verify

00:19:32.150 --> 00:19:34.950
the facts. Always check the AI's work, especially

00:19:34.950 --> 00:19:37.809
with researchers. Fifth, combine tools through

00:19:37.809 --> 00:19:40.390
stacking used specialists for each step. And

00:19:40.390 --> 00:19:43.150
sixth, finish with that crucial human polish,

00:19:43.329 --> 00:19:45.910
add your voice, taste, and care. Essentially,

00:19:46.210 --> 00:19:48.390
AI is the incredibly capable doer. But you are

00:19:48.390 --> 00:19:50.630
the director. You're guiding the process, ensuring

00:19:50.630 --> 00:19:52.829
quality, adding the value. So for listeners,

00:19:52.970 --> 00:19:54.990
what's the first step? It feels like a lot to

00:19:54.990 --> 00:19:57.269
implement all at once. Oh, definitely don't try

00:19:57.269 --> 00:19:59.599
to master all six today. That's overwhelming.

00:19:59.980 --> 00:20:02.400
Just pick one skill to focus on this week. Seriously,

00:20:02.680 --> 00:20:05.359
just one. Like maybe. Maybe just really commit

00:20:05.359 --> 00:20:07.599
to using that six -part framework for your next

00:20:07.599 --> 00:20:10.740
important prompt. Or maybe just build the habit

00:20:10.740 --> 00:20:13.740
of always running AI facts through perplexity.

00:20:13.900 --> 00:20:16.319
Just one small change. Exactly. Even just doing

00:20:16.319 --> 00:20:19.619
the verification step consistently will dramatically

00:20:19.619 --> 00:20:22.079
improve your results and safety almost overnight.

00:20:22.460 --> 00:20:25.099
Okay. So here's a final thought to leave everyone

00:20:25.099 --> 00:20:29.059
with. Something to chew on. If AI can now reliably

00:20:29.059 --> 00:20:32.900
handle, say, 80 % of the grunt work, the research,

00:20:33.019 --> 00:20:35.539
the drafting, the summarizing, then maybe the

00:20:35.539 --> 00:20:38.079
new essential human skill in this era isn't really

00:20:38.079 --> 00:20:40.579
about becoming a master prompt engineer or knowing

00:20:40.579 --> 00:20:42.920
the tech inside out. Maybe it's shifting more

00:20:42.920 --> 00:20:44.960
towards cultivating taste, expressing empathy,

00:20:45.079 --> 00:20:48.369
and having a clear vision. Interesting. If basic

00:20:48.369 --> 00:20:50.390
content production is becoming commoditized,

00:20:50.490 --> 00:20:54.390
almost solved, what entirely new kinds of creative,

00:20:54.589 --> 00:20:57.410
strategic, or editorial roles might emerge that

00:20:57.410 --> 00:20:59.650
really lean into those uniquely human skills?

00:21:00.190 --> 00:21:02.250
What does work look like when the doing part

00:21:02.250 --> 00:21:04.630
is largely automated? That's a deep question.

00:21:04.869 --> 00:21:06.849
Something to really think about. Thanks for tuning

00:21:06.849 --> 00:21:09.970
in to the Deep Dives, everyone. OTero music.
