Transcription

• Speaker #0

  You're listening to Guenix Digital Podcast where we shared curated insight on digital startegies, artificial intelligence and tools that bring performance

• Speaker #1

  Welcome back to the Deep Dive. Today, we're tackling a subject that, honestly, I think a lot of us are just kind of trying to ignore.

• Speaker #2

  Yeah, ignoring it is definitely the default setting right now.

• Speaker #1

  Right. But we really need to talk about writing. We're talking about creativity. And specifically, we're doing a deep dive into why taste is the new competitive advantage in AI content, because there is just this absolute avalanche of synthetic content burying the Internet right now.

• Speaker #2

  It really is an avalanche. And I think for most people, the feeling right now isn't it is an excitement. It's this weird mix of awe and terror to be on.

• Speaker #1

  Oh, absolutely. Yeah.

• Speaker #2

  Because... Let's just be real about the state of things right now. Speed is now a commodity.

• Speaker #1

  Right. And that is a really hard pill to swallow. I mean, it used to be that if I could pump out, you know, 5,000 words of clean, grammatically correct text in a day, I was a wizard.

• Speaker #2

  You were indispensable.

• Speaker #1

  Exactly. I was a massive asset. But now I can literally do that while I'm waiting for my coffee to brew.

• Speaker #2

  Which creates a massive economic problem for anyone who writes for a living or honestly even just writes for their job. Because when more content becomes free and instant seeing. the value of volume just drops to absolute zero.

• Speaker #1

  The totem falls out.

• Speaker #2

  Right. If your strategy is just post more or write faster, you've already lost. The machine is going to beat you every single time.

• Speaker #1

  Okay. Well, that is incredibly depressing. I mean, if I can't be faster and I can't be cheaper, what exactly is left? Do we just give up?

• Speaker #2

  No, definitely not. You pivot. You stop selling volume. You start selling taste.

• Speaker #1

  Taste.

• Speaker #2

  Taste, yeah.

• Speaker #1

  That sounds, um... I don't know, a bit abstract, like I can't exactly put taste on an invoice. Hey, boss, I charged you extra for the vibes today.

• Speaker #2

  I mean, you absolutely can, though. Think about it. In a world of just infinite average content, taste is the only thing that is actually scarce.

• Speaker #1

  Yeah, OK. I see what you mean.

• Speaker #2

  The winners in this new era aren't going to be the fastest prompters. They're going to be the deepest editors, the ones who can look at what the machine spits out and say, that's boring. That's generic. Let's make it human.

• Speaker #1

  So we're essentially shifting from being content factories to being what, like curators?

• Speaker #2

  Curators, exactly. But before we get into the actual mechanics of how to do that, because we do have a really specific framework to cover today for you.

• Speaker #1

  Yeah.

• Speaker #2

  We need to talk about the traps people are falling into.

• Speaker #1

  Right. The extreme.

• Speaker #2

  Yeah, because I see people reacting to this shift in two wildly different ways, and both of them are dangerous.

• Speaker #1

  Is this that binary trap you were telling me about earlier?

• Speaker #2

  That's the one. So on one side, you have the burnout purist.

• Speaker #1

  Oh, I know this person.

• Speaker #2

  Yeah.

• Speaker #1

  They absolutely refuse to use AI.

• Speaker #2

  Completely refuse.

• Speaker #1

  They think it's cheating, right? So they're working nights and weekends, just drowning in deliverables, clinging to this idea that human-made always equals better.

• Speaker #2

  Right. Even when they're totally exhausted and their writing is visibly suffering for it. It's basically a war of attrition against an opponent that literally never sleeps.

• Speaker #1

  Which you're never going to win.

• Speaker #2

  Exactly. But then on the other side of the spectrum, you have the lazy automator.

• Speaker #1

  Ah, the paste and publish crowd.

• Speaker #2

  Yes. The people who log into ChatGPT type, write me a blog post about marketing trends and just hit publish without even reading it.

• Speaker #1

  Without even glancing at it. And the result of that is what?

• Speaker #2

  Soloslop. It's blight. It's highly structured. And it is completely invisible.

• Speaker #1

  It's invisible because it sounds like everyone else. Actually, there was this stat from Europol estimating that up to 90% of online content could be synthetically generated by 2026.

• Speaker #2

  90%. Just think about that for a second. That creates what's known as the noise floor.

• Speaker #1

  The noise floor.

• Speaker #2

  Yeah. If you were just putting out raw AI content, you were just adding to that background hum. You don't have a brand. You just have static.

• Speaker #1

  So we obviously don't want to be the martyr working until midnight, but we also don't want to be the spammer filling the internet with garbage. What's the actual middle ground here?

• Speaker #2

  The middle ground is adopting the cyborg mindset. You have to stop viewing AI as a replacement. And start viewing it as a junior partner.

• Speaker #1

  A junior partner. Okay, flesh that out for me a bit.

• Speaker #2

  So think of the AI as a highly enthusiastic, incredibly fast intern. Now, this intern has read the entire internet, which is super impressive.

• Speaker #1

  Very impressive intern.

• Speaker #2

  Right. But, and this is the key, they have zero actual life experience. They've never had their heart broken. They've never been fired. They've never tasted the cold beer on a hot day.

• Speaker #1

  Right. So if you ask them to write something, they just give you the textbook answer because literally that's all they have.

• Speaker #2

  Exactly. Your job isn't to be the writer anymore. Your job is to be the creative director. You provide the vision, the taste and the messy life experience. The A.I. just handles the execution.

• Speaker #1

  OK, let's unpack why the A.I. needs so much help in the first place, because I think people feel it right. They read something and instantly go. So that sounds like a robot, but they can't quite articulate why. What is actually happening under the hood that makes it sound so bland?

• Speaker #2

  It all comes down to how these models fundamentally work. AI isn't thinking. It's playing a mathematical game called next token prediction.

• Speaker #1

  Next token prediction.

• Speaker #2

  Yeah. It looks at a sequence of words and calculates based on billions of data points what word is statistically most likely to come next.

• Speaker #1

  So it's basically just constantly guessing the most popular answer.

• Speaker #2

  It's the ultimate people pleaser. Think of it like a game of Family Feud. If I asked 100 people, what do you bring to the beach? What is the number one answer?

• Speaker #1

  A towel.

• Speaker #2

  A towel. It's the safe statistical average. And that is exactly what AI gives you every time. But if I ask a real human that question, and I really press them for a specific story, they might say my ex-boyfriend's dog.

• Speaker #1

  Which is specific. It's weird. And it is definitely not on the Family Feud board.

• Speaker #2

  But it's interesting, right? The AI. avoids ex-boyfriend's dog because it's statistically unlikely. In data science, this is called regression to the mean.

• Speaker #1

  Regression to the mean.

• Speaker #2

  Right. Because AI is trained on the whole Internet, which, yes, includes great literature, but also millions of boring corporate press releases. So it just averages them all out. It constantly aims for the dead center of the bell curve.

• Speaker #1

  And the center of the bell curve is just boring.

• Speaker #2

  It's totally beige. And there are fingerprints it leaves behind. We call them the telltale signs.

• Speaker #1

  Oh, I love spotting these in the wild. Let's run through the list so you can spot them in your own drafts. First up is the forbidden words.

• Speaker #2

  Right. These are words that appear constantly in the training data, but rarely in actual casual human speech. If you see the word delve.

• Speaker #1

  Oh, man. Let's delve into this tapestry of innovation.

• Speaker #2

  Yes. Tapestry, unleash, unlock, landscape testament. If you see those words, it's a massive red flag. Real humans just don't talk like that. We say, let's look at this. Let's delve into this.

• Speaker #1

  Yeah. Then there's the grammar. It's always too perfect.

• Speaker #2

  It's the straight A student problem. There are no sentence fragments, no messiness. Every single comma is spliced correctly. Right. It creates this uncanny valley effect where the text just feels too sanitized to be real.

• Speaker #1

  And the rhythm too. It's almost hypnotic, but in a really bad way.

• Speaker #2

  We call that structural monotony. It goes median sentence, medium sentence, medium sentence. It's just a drone. It completely lacks the natural musicality of human thought.

• Speaker #1

  And finally, the big one, the subtext gap.

• Speaker #2

  This is honestly the hardest one to fix. AI is completely context blind. It can't detect sarcasm. It can't read between the lines. We see this all the time in customer service bots. We call it the hallucination of empathy.

• Speaker #1

  Oh, like when it says, I understand your frustration.

• Speaker #2

  Yes. It doesn't understand frustration at all. It's just mathematically calculating that I understand your frustration is the most probable sequence of words to follow a customer complaint. It feels hollow because it literally is hollow.

• Speaker #1

  Okay, so we know exactly why it sounds robotic. It's playing it safe and guessing the average. Now let's get tactical for you. We've got a three-step process to fix this. Step one happens before we even write a single word.

• Speaker #2

  Step one is priming the engine. Most people treat the prompt box like a Google search bar. They type right a blog post about leadership and just hit enter. That is a lazy prompt.

• Speaker #1

  And a lazy prompt is obviously going to get a lazy result.

• Speaker #2

  Exactly. You need to treat the prompt box like a strategic briefing room. You need to use context injection. We break this down into four core pillars, role, audience, goal, and constraints.

• Speaker #1

  Okay, walk us through that with a real example. Let's say I need to write an email to my team about a project delay.

• Speaker #2

  Okay, perfect. So a lazy prompter just says, write an email about the delay. The AI writes a super generic apology. But if you use the pillars first, you set the role. You are a direct, empathetic project manager.

• Speaker #1

  Okay.

• Speaker #2

  Then the audience. My team is tired and stressed. Then the goal. Take ownership of the delay without blaming them. And finally, the constraints. No corporate jargon. Keep it under 150 words.

• Speaker #1

  It is genuinely amazing how much better the output gets just by setting those boundaries. But even then, sometimes even with great context, it still totally misses the vibe. Like you say, be witty, and it just spits out terrible dad jokes. You say, be professional, and it sounds like a literal lawyer.

• Speaker #2

  That's because adjectives are inherently subjective. Witty means something completely different to me than it does to you. That's where few shot prompting comes in.

• Speaker #1

  Show don't tell.

• Speaker #2

  Exactly. Instead of trying to describe the tone with adjectives, you feed the AI examples of your actual best work.

• Speaker #1

  You create a shot library.

• Speaker #2

  A shot library. Yeah. Take three examples of emails you've written in the past that really worked. Paste them right into the prompt and say, analyze the tone, sentence structure, and vocabulary of these examples. Now write the new email using this exact specific pattern.

• Speaker #1

  So you're giving it a concrete pattern to mimic. Rather than asking it to basically guess what you mean by friendly.

• Speaker #2

  Precisely. It's a pattern matching machine. So give it a better pattern. And there's actually one more trick for this pre-writing phase, the pre-flight check.

• Speaker #1

  Oh, this one has saved me from so many terrible drafts. This is recursive prompting, right?

• Speaker #2

  It sounds super technical, but it's really simple. Before you let the AI generate the full draft, you ask it to outline its plan first. You say, before you write, tell me who you think the audience is and what your main argument will be.

• Speaker #1

  Because sometimes it just completely hallucinates the assignment. Like you ask for a funny social post and it starts planning a eulogy.

• Speaker #2

  Exactly. You have to catch it early. It's basically quality assurance for the machine. If the plan is wrong, draft is guaranteed to be wrong.

• Speaker #1

  Okay, so we've primed the engine. We've got a draft. It's way better than the generic slot because we use the four pillars, but it's still just version A. It's grammatically perfect, but it's dead. Now we move to step two, which is injecting soul.

• Speaker #2

  This is the editing phase. And the goal here isn't to rewrite everything from scratch. It's to perform targeted surgery. We want to turn version A into version B, something with actual texture.

• Speaker #1

  And The first technique for that is breaking up that hypnotic rhythm we talked about earlier.

• Speaker #2

  Right. The heartbeat. AI defaults to that flatline drone. Medium sentence. Medium sentence. To fix it, you need burstiness. You need to manually go in there and use the chop.

• Speaker #1

  The chop. Is that just violently cutting sentences in half?

• Speaker #2

  Brutally, yes. Find those long, winding AI sentences and chop them. Make a really simple declarative statement. Then use the extend where you use connecting words to make a really long, beautifully flowing sentence. And finally, the fragment.

• Speaker #1

  Fragments are honestly my favorite. Just a standalone thought, a reaction.

• Speaker #2

  Exactly. Like you could write. So write first 30 minutes every morning that create the heartbeat. Short, short fragment. It keeps a reader awake because it feels like a real human breathing and speaking.

• Speaker #1

  The next technique is, I think, one of the most powerful for making writing feel real, especially in a stiff business context. Velcro versus Teflon.

• Speaker #2

  This is all about sensory details.

• Speaker #1

  Yeah.

• Speaker #2

  abstract concepts like efficiency, synergy, optimization. Those are Teflon words. They literally slide right off the brain. You don't feel them at all.

• Speaker #1

  But Velcro words actually stick.

• Speaker #2

  Velcro words hook right into your senses. The AI constantly fails at this because, well, it doesn't have a body. It'll say the team was stressed. That is pure Teflon.

• Speaker #1

  Stress creates absolutely zero image in my mind. It could mean they were yelling at each other. It could mean they were just quietly crying at their desks.

• Speaker #2

  Exactly. So you have to do a five cents audit. You ask yourself, what does stress actually look like in this specific office?

• Speaker #1

  So instead of the team was stressed, you would write something like...

• Speaker #2

  The team hadn't left the conference room in six hours. There were empty pizza boxes stacked in the corner. And literally nobody was making eye contact.

• Speaker #1

  Okay, yeah, I can actually smell the stale pepperoni there. That is definitely Velcro.

• Speaker #2

  That's the difference right there. The AI doesn't know about the pizza boxes. It doesn't know the distinct smell of corporate anxiety. But you do. If you can swap just one abstract sentence per paragraph with a raw sensory detail, the reader's subconscious immediately goes, oh, a human was here.

• Speaker #1

  I love that phrase. A human was here.

• Speaker #2

  Okay,

• Speaker #1

  the third editing technique, we've got the rhythm sorted, we've got the senses engaged. Now we need opinion.

• Speaker #2

  The opinion spike. As we said before, AI is a chronic people pleaser. It constantly hedges. It says things like it is important to consider, or some might argue it desperately tries to remain neutral.

• Speaker #1

  But neutral is incredibly boring. And honestly, in the business world, neutrality often just looks like cowardice.

• Speaker #2

  It looks like you don't actually have a stance on anything. You need to bridge the subjectivity gap. You find that perfectly neutral summary in the middle of the draft and you manually insert a hot take. You use the word I.

• Speaker #1

  Like, I think that's total nonsense.

• Speaker #2

  Yes. Or in my experience, this specific strategy fails every single time. Take a real risk. AI can be factually inaccurate, but it can never be. wrong in a philosophical sense because it doesn't hold any actual beliefs. But you do. Injecting your specific belief creates real trust.

• Speaker #1

  So we've got the draft. We've done the surgery to edit it for soul. But doing this manually every single time sounds completely exhausting. If I have to explain who I am and what my tone is every single time I open a new chat window, I'm just going to quit.

• Speaker #2

  It is exhausting. Which is exactly why step three is scaling your voice. You have to systematize this whole process.

• Speaker #1

  Basically moving from being a writer to being a manager.

• Speaker #2

  Right. We build a digital style guide. But this isn't a PDF for human employees. It's a strict rulebook designed for the machine.

• Speaker #1

  And to get this, we use the mirror prompt. This is such a brilliant hack, but I think people get really confused on how to actually execute it. Walk us through the steps.

• Speaker #2

  The problem is most people can't accurately describe their own writing style. They just say, I'm friendly and professional. That is useless data to an AI. Instead, you need to use the AI to reverse engineer yourself.

• Speaker #1

  Okay, so I open up a completely fresh chat window. What do I type?

• Speaker #2

  You gather three pieces of your absolute best writing, stuff you are genuinely proud of. You paste them all in and you type this exactly. Analyze the following. text for sentence structure, tone, vocabulary, complexity, and rhetorical devices. Create a comprehensive style guide based on this analysis that I can use to instruct an AI to write exactly like me.

• Speaker #1

  And what does it typically give you back when you do that?

• Speaker #2

  It gives you an incredibly detailed roadmap. It might say things like you use short, punchy sentences for emphasis, or you frequently use metaphors involving sports, or you have a cynical but ultimately helpful tone.

• Speaker #1

  Things you probably might not even realize about your own writing.

• Speaker #2

  Exactly. It's objective feedback. You take that detailed output and you condense it into your official style guide. It basically has three parts. Persona, which is who you are. The do list, which is positive constraints like use active voice, use sensory metaphors. And finally, the do not list.

• Speaker #1

  The do not list is so critical. That's where you ban all those average AI habits.

• Speaker #2

  Right. You explicitly say, do not use the word Delph. Do not start sentences, which additionally do not use hashtags. You save all of this. as a text snippet or put it in your custom instructions. Now, every single time you start a new chat, the AI already intimately knows who you are.

• Speaker #1

  That right there is the game changer. You're never starting from zero anymore. You're starting from your own personal baseline.

• Speaker #2

  And this isn't just about saving an hour a day. It's about your core business. Consistency builds trust. If your email newsletter sounds like a warm, witty human, but your LinkedIn posts sound like a corporate robot, you break the spell. You just look disjointed. You need... one cohesive voice across all your channels.

• Speaker #1

  So if we actually do all this, we prime the engine, we edit for soul, we build the automated system, we are suddenly producing way more high quality work in a fraction of the time, which brings us to the bigger picture here. Because if I suddenly save four hours a week, what am I supposed to do with them?

• Speaker #2

  This is the absolute danger zone. We call it the efficiency paradox, which is exactly when you suddenly realize. You can write a great blog post in 20 minutes instead of four hours. And your instinct, your deep capitalist instinct, is to just write 12 more blog posts.

• Speaker #1

  Right. Like, look at me. I'm a machine. I'm a content factory now.

• Speaker #2

  But you're not actually being productive. You're just being noisy. You're actively feeding that noise floor we talked about at the very beginning. You cannot do that.

• Speaker #1

  So what should we be doing with that time instead?

• Speaker #2

  You need to take the strategy dividend. You take that saved time and you aggressively reinvest it into things the AI physically cannot do.

• Speaker #1

  Like what? Give me some examples.

• Speaker #2

  Go talk to your actual customers. Have a real messy face-to-face conversation to find out what their actual problems are. Look for contrarian angles. Do some original ground-level research.

• Speaker #1

  Ah, so the AI can write up the polished case study, but you are the one who has to go out into the world and actually get the story.

• Speaker #2

  Precisely. That is where the real value is now. It really all comes down to authentication.

• Speaker #1

  Authentication is the new SEO.

• Speaker #2

  It really is. In a world drowning in synthetic content, proof of humanity is literally the only moat you have left.

• Speaker #1

  And that proof only comes from your actual lived life.

• Speaker #2

  That's your uncopyable advantage. The AI has read the entire Internet. It has read every book, every article, every forum post. But it hasn't read your mind. It doesn't know about the specific Tuesday you got fired. It doesn't know the weird metaphor your grandmother used to use. It doesn't know. your personal failure.

• Speaker #1

  And those highly specific memories are the only things that are truly exclusively yours. And if you strip them out of your writing just to sound more professional, you're stripping out the very last bit of value you actually have.

• Speaker #2

  That is the grand irony of all this. The harder you try to sound like a perfectly polished professional writer, the more you just sound like a machine. The more you sound unapologetically like you, the more incredibly valuable you become.

• Speaker #1

  That perfectly sets up the final challenge for you listening today. We've given you all the technical tools, the criming, the editing, the style guide, but literally none of that matters at all if you don't actually have anything to say.

• Speaker #2

  So here is the challenge. Close your laptop. Seriously, close it. Go have a real conversation with someone. Go fail at something new. Go learn something incredibly messy in the real physical world.

• Speaker #1

  Get some real sensory details. Get some actual scars.

• Speaker #2

  Exactly. And then come back to your desk. Open up the AI tool. And use it to tell the absolute truth about what just happened. That is exactly how you win this game.

• Speaker #1

  Don't just be a prompt user. Be a source.

• Speaker #2

  Be a source.

• Speaker #1

  This actually makes me think about where we're headed next. Imagine 10 years from now when perfect AI writing is literally everywhere. Reading a genuinely flawed human essay might feel like examining a hand-woven rug. We won't be looking for the perfection anymore. We'll be actively seeking out the knots and the mistakes just to prove another human made it.

• Speaker #2

  We'll be hunting for the flaws.

• Speaker #1

  Exactly. Well, thank you for diving into this with us today. Go out there, get messy, and we'll catch you on the next deep dive.

• Speaker #0

  Thanks for listening to Genix Digital Podcast. Follow us for more curated insights.