Software is no longer scarce. Judgment is.

I build systems, interfaces, and identities that survive AI abundance.

This is a space for thinking about judgment, systems, and design in an era where execution is cheap and discernment isn’t.

Latest August 17, 2026

The Model Is a Centroid Pump. So Is the Review Loop.

Sameness isn't one failure, it's two — a model's own training narrows what it's willing to produce before anyone reviews anything, and a review loop narrows what survives on top of that. Same pressure, two different rooms — and I've built something against both, though I don't yet know if either one actually holds.

More Writing

August 8 The Org Chart Is the Missing Constraint A Notion co-founder says everything he knew about coding agents six months ago was wrong. Most of what changed validates an older idea: constraints do the work, not agents — but at multi-agent scale, the constraint that matters most is who holds which decision rights.
June 11 The Loop You Were Already In The interesting part is the fractal — tight loops inside medium loops inside long loops, each with different primitives and different levels of human involvement.
May 17 The Oracle Problem Everyone wants to be the source of truth. Almost nobody builds the structural conditions that make truth survivable. From the Delphic Oracle to Grokipedia, the pattern is the same — and it has nothing to do with intent.
May 4 Defaults Are Decisions Every system has defaults. AI makes them more powerful and more invisible. The question isn't whether your system is biased — it's whose assumptions it's running on.

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Notes

May 29 The Scarcity Shift Software engineering compensation was built on scarcity, not just difficulty. That scarcity is eroding. The people who survive are either unusually broad or unusually deep.
May 20 Everything New Is Old Vector search in the 90s, badges that followed you through the office, and what happens when you build an AI system without knowing what's already been built.
May 9 The Dopamine Layer A neuromarketing talk got me thinking about reward systems, GLP-1s, and what happens when AI becomes the most sophisticated rationalizer we've ever built.

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