On AI, building, and what actually matters.
You don't need to learn AI. You need to learn you. Not another book about AI.
Get the book →Every piece of software you buy is already dying. The app you paid for last year will be rewritten, replaced, or abandoned. The model behind your AI tools will be obsolete in eighteen months. This is not a complaint. It is the nature of tools.
Read full article →There's an uncomfortable truth about most AI architectural renders. They look the same.
Read full article →Clients think they're buying drawings. They're not. They're buying confidence.
Read full article →Every architecture practice has the same problem. It just doesn't talk about it. Everything routes through one person.
Read full article →There's a version of every building that exists perfectly in the architect's mind. It never makes it to site.
Read full article →Ask most principals what their practice's design language is and they'll tell you. Ask them to write it down and it gets harder. Ask them to write it down precisely enough that someone else could use it without asking them? Almost nobody can do that.
Read full article →The content model is dying. Good. Not the apocalypse version everyone's selling you. Not "AI will replace all creators" or "nobody will have a job." That's lazy thinking from people who've never actually made anything.
Read full article →When people hear "AI-generated music" they picture one thing: someone typing "write me a hit song" into a chatbot and pressing enter. A machine spitting out lyrics, melody, production — the whole thing — while a human sits back and takes credit. That's not what I do. That's not even close. And the gap between what people *think* AI music-making is and what it *actually* is — at least when it's done with any real intent — reveals everything about where AI is going and who will matter in that future.
Read full article →Here's where it gets philosophical. Bear with me. Nobody's talking about this yet. The mainstream AI conversation is stuck on jobs, deepfakes, and whether ChatGPT will replace Google. Almost nobody is thinking about where this *actually* leads — which is AI creating fully personalised realities. Content so perfectly tailored to your preferences that you end up living in a bubble of your own making. A simulation, essentially, generated by algorithms that know what you want before you do.
Read full article →There's a race happening in every industry right now, and nobody's questioning whether the finish line is in the right place. More pixels. More precision. More fidelity. More decimal places. The assumption baked into every tool, every update, every product roadmap is the same: better means closer to perfect.
Read full article →There's a type of intelligence that our culture doesn't have a word for. It's not expertise in one thing. It's the ability to see patterns *across* things. To notice that the same principle governing how a building handles structural load also explains how a crypto portfolio should manage risk. That the way a batucada ensemble locks into a groove has something to teach you about team dynamics. That cooking and coding follow the same iterative logic. I call it synthesiser intelligence. And I think it's about to become the most valuable cognitive skill on the planet.
Read full article →Everyone expects AI to create a divide between the haves and have-nots. Rich people get AI, poor people don't. Tech-savvy people thrive, everyone else falls behind. I think the actual divide is completely different. And it's already forming.
Read full article →Everyone's having the wrong conversation about AI. One side says it'll destroy us. The other says it'll save us. Both are boring, and both are wrong. What's actually happening is stranger, more human, and way more interesting than either camp wants to admit.
Read full article →*For technologists, philosophers, and anyone curious about how meaning is generated.* ---
Read full article →Here's the problem with metacognition: if you don't have it, you don't know you don't have it. That's not wordplay. It's the trap.
Read full article →When people think "business AI," they think chatbots. Chatbots are fine. They're also the most obvious, most crowded, least interesting application.
Read full article →You've heard the term. Maybe you've dismissed it as jargon. But AI wrappers are quietly becoming the most practical way for businesses to actually use AI. Let me explain what they are — and why they matter more than the hype suggests.
Read full article →You've got three options. Each has a place. Most people pick wrong. Let's break it down.
Read full article →Everyone's an AI expert now. Six months ago they were selling social media management. Now they've got "AI" in their LinkedIn headline and a Calendly link in their bio.
Read full article →For decades, we've lived by a rule: fast, cheap, good — pick two. Want it fast and cheap? It won't be good.
Read full article →You don't need fifteen subscriptions anymore. That's the headline nobody's saying — because the people selling you those subscriptions don't want you to figure it out, and the people who could build the alternative don't know they can.
Read full article →LinkedIn is full of them now. The AI Operators. The prompt engineers. The people who'll turn you into an "AI-powered business" in 90 days for $5,000 a month. Here's what they're actually selling: access to tools you already have.
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