WEBVTT

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Imagine describing a 3 a .m. break room conversation

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to an AI. Right. Just a very specific vague vibe.

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Exactly. And then, well, seconds later. It generates

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a perfectly coded, emotionally resonant website

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based on that vibe. It is genuinely wild to think

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about. That isn't the future. That is 2026. Welcome

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to this deep dive. Glad to be here. We have a

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lot of ground to cover today. We really do. Our

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mission today is very specific. We are dissecting

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the ultimate 2026 AI design showdown. The big

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one? Yeah, we're putting Claude Design, which

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is powered by Claude Opus 4 .7, straight up against

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Google AI Studio. Powered by Gemini, of course.

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And they are absolutely the two heavyweights

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right now. They really are. We are going to walk

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you through a brutal five -round testing gauntlet.

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We want to uncover which tool actually understands

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human taste. Right. And we also need to see which

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is better for raw, full -stack power. It's a

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fascinating breakdown because we aren't just

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looking at surface level features. We want to

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explore how these models actually think. Yeah,

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before we throw these models into the ring, we

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need to understand their fundamentally different

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philosophies. Because they approach problem solving

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from entirely different angles. Right, and that

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context is crucial. So let's start with Claude

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Design from Anthropic. Yeah, Anthropic's tool

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writes real HTML, CSS, and JavaScript. Right.

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It doesn't just hallucinate a static mock -up

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image. Exactly. It builds the actual... working

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code for your interface. And it exports seamlessly,

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which is great. You can send layered files straight

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into Canva or just create clean developer handoff

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bundles. That export flexibility is huge. Anthropic

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clearly optimized this model for front -end visual

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fidelity. Then we have Google AI Studio. This

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is Gemini's sandbox environment. And it's really

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built for what we call vibe coding. It's a very

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different beast. You're building full apps here.

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It features something called annotation mode,

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which is incredible. Let's pause on that. How

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does annotation mode actually work? Well, you

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basically just highlight a mistake on the UI.

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You type what you want fixed, and Gemini updates

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the code instantly. So you don't even have to

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touch the raw code. Right. You just point and

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tell it what to do. It also gives you access

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to AI chips. which are so powerful. Let me define

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that real quick. Plug in superpowers, like connecting

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live Google search directly to your prompt. It's

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a massive advantage. You also get one -click

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exports to GitHub. Gemini just wants to get your

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app live immediately. So it's kind of like a

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boutique design agency versus a fast developer.

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I love that analogy. Yeah, Claude is the boutique

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agency obsessed with aesthetics. And Google AI

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Studio... is the fast full -stack developer who

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brings their own database. Exactly. So do they

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actually interpret briefs differently from the

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ground up? Got it. One focuses on aesthetic intuition,

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the other on technical scaffolding. Precisely.

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And it changes everything about the final output.

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Let's see how that analogy holds up with some

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actual client work. We are moving into round

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one. The basics test. Right. We give them a brief

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for Flowcache. It's a conceptual Vietnamese fintech

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app for young people. The prompt didn't have

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rigid layout rules. Just the brand vibe and the

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target demographic. So how did Claude handle

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that vague direction? Well, Claude delivered

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an asymmetric grid. pastel colors, and this really

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cool tilted phone mockup. Oh, wow. Yeah, it specifically

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targeted the visual trends of young Vietnamese

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users. It looked super energetic. Meanwhile,

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Google AI Studio delivered a very safe, boring,

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three -column layout. Right, but it included

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working database routing. Typical developer move.

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Totally. Let's move to round two, the strict

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constraints test. We gave them a brief for a

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Prompt Mastery 2026 course page. And this time

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we demanded pure code, a 12 -column grid, and

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the Space Grid Tusk font. Plus cubic -easier

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animations. Which is complex CSS timing. It's

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a hard technical test. I still wrestle with prompt

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drift myself. Beep. So I know how. hard -strict

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rules are for these models. Absolutely. They

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water off topics so easily. But Claude was actually

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proactive here. It stopped and asked clarifying

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questions about navigation labels before it even

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started. I love that. And it nailed the grid

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perfectly. It even added unrequested cinematic

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fade -in effects. Right. The boutique agency

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flex. Exactly. Gemini, on the other hand, missed

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the mobile hamburger menu entirely. And it used

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the wrong CSS grid. It just wanted to build the

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backend fast. So why did Google struggle so much

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with strict grid rules? So Gemini sacrifices

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pixel -perfect front -end accuracy for immediate

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backend speed. Right, you just have to clean

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up the UI later. Okay, round three, the vision

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test. It is one thing to read rules, but can

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an AI actually see good design? This was the

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multimodal test. We uploaded screenshots of linear,

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Vercel, and Resend. High -tier aesthetic sites.

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We told them to reverse -engineer that vibe for

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a new app called Task Grid. And Cloud Opus 4

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.7 was astonishing here. It caught the blue -tinted

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gray backgrounds perfectly. It even identified

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a strict 4 -pixel spacing rhythm. Yes. And it

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went above and beyond by inventing an interactive

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drag -and -drop demo. To show off the AI feature.

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Right. It understood the context of the product.

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Whoa! Imagine an AI extracting the underlying

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mathematical rhythm of a design just from a screenshot.

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It's wild. Meanwhile, Google missed all that

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depth. No noise textures, no subtle gradients.

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It's just a generic template. Yeah, totally flat.

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So does this mean Claude possesses genuine artistic

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taste? Basically, Claude grasps the why of a

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design, not just the what. Exactly, it understands

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intent. Welcome back to the deep dive. We know

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Claude has taste. Mm -hmm, lots of it. But what

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happens when the real world hits and three different

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stakeholders demand conflicting changes at once?

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Welcome to round four. Yeah, the stakeholder

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stress test. We blasted the AI with nine complex

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edits simultaneously. Marketing wanted purple

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accents. Product wanted a new $897 pricing tier.

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And Design wanted a floating nav with a blur

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reveal scroll effect. A nightmare scenario, basically.

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Totally. But Claude handled the entire list in

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a single 45 -second update. It resolved all the

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layout conflicts intelligently. Google AI Studio,

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well, it collapsed under the weight. Yeah, it

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overloaded. The mobile page lagged terribly.

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It took six minutes across four separate prompts

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to fix. It's struggled with the structural refactoring.

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Let's define that. Sure. Rewriting the underlying

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code without changing what the user sees. Right.

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It's like stacking Lego blocks of data. Google's

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tower got wobbly under too many requests. That

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makes perfect sense. So does Google's failure

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here make it useless for scaling? Not useless.

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It just requires you to make small step -by -step

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tweaks instead. Good to know. Just feed it one

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block at a time. Exactly. Manage its context.

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Okay. The final round. Round five. The soul test.

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This is about translating true ambiguity. We

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gave the brief for an app called Night Shift,

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meant for exhausted night shift workers. Right.

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The emotional target was a 3 a .m. break room

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conversation. No Zen tropes, no bright colors.

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Claude built a warm, dim sanctuary. He used these

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eye -soothing amber tones. And slow, 800 millisecond

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animations. It deliberately matched the user's

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fatigue. Plus a handwritten founders note. The

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empathy was just staggering. Yeah, it was. And

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Google. Google ignored the emotional nuance entirely.

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It delivered a safe, soulless, dark mode app.

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It just missed the vibe completely. Can't we

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even call what Claude did here programming anymore?

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Right. It's less about coding, more about translating

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human exhaustion into pixels. It is a profound

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shift. Absolutely. Let's bring this all together

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with our big idea recap. What does this showdown

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actually teach us? Well, Claude gets a 9 out

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of 10 on grand depth and prompt adherence. It

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is the absolute winner for founders, marketers,

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and designers. If you need personality and visual

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depth, Claude is your tool. And Google AI Studio

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gets a 9 out of 10 on full -stack capability.

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It's the clear winner for developers who prioritize

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database routing and clean backend code. Right.

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If you want instant deployment over statics,

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use Gemini. They are both incredible, just built

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for different minds. Two -sec silence. You know,

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it really makes you think, if an AI like Clog

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can now perfectly capture a brand's soul, if

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it can translate an ambiguous 3 a .m. break room

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vibe into an emotional digital experience, what

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becomes the true role of the human designer?

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That's a tough question. Are we transitioning

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from being creators to simply being taste testers?

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We might be. Something to think about. I encourage

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you to try briefing an AI with an emotion today

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rather than a rigid spec. just to see what happens.

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You might be surprised. Thanks for joining us

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on this deep dive. We will see you next time.
