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# high-fidelity

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2026-07-14

A Day as an AI-Era PM: How I Turned One Sentence Into a Prototype You Can Actually Tap

One afternoon last week, I turned 'I want a little thing that tracks what I spend' into a prototype my coworker could actually tap on his phone — record a real expense, see a real pie chart. Not a single line of code. Everyone thinks the AI era means PMs have to go learn programming. It's actually the reverse: the skill that's worth money now is getting your words clear enough that AI gets it right on the first try. This isn't a lecture — it's exactly how I did it: how to make AI interrogate me first, how to change only one thing at a time, why the very first version should run on real data, and how to use 'can you tap through it?' as your acceptance line. Includes the potholes I stepped in.

A Day as an AI-Era PM: How I Turned One Sentence Into a Prototype You Can Actually Tap
2026-06-05

vibe coding Is Dead — Write Specs Instead? PMs Have a Third Option: Speak It, AI Builds It

Everyone's shouting that vibe coding is dead and the answer is spec-driven development. But for product managers, front-loading a pile of detailed spec documents just drags back the PRD burden AI finally got rid of. You don't have to choose between 'winging it' and 'writing specs' — there's a third path: speak it, AI builds it.

vibe coding Is Dead — Write Specs Instead? PMs Have a Third Option: Speak It, AI Builds It
2026-06-04

When Building Is Free, Taste Becomes the Only Moat — and It's Trainable

AI has made building things nearly free. Anyone can ship a working product. The barrier is gone — so the question becomes: if anyone can build, why is yours better? The answer is taste. And the counterintuitive part: taste isn't a gift. It's a skill you can train.

When Building Is Free, Taste Becomes the Only Moat — and It's Trainable
2026-06-03

"AI code is garbage"? Critics are half right — the missing word is *phase*

Mid-2026, vibe coding has split the room in two: one camp calls it the biggest shift since cloud, the other calls it gift-wrapping AI slop. The critics' concerns about security and maintainability are valid — for production systems. For prototypes, they're wildly overstated. doaipm's high-fidelity + safety-net approach has always kept those two things separate.

"AI code is garbage"? Critics are half right — the missing word is *phase*