Manifesto

Every company will run on AI. The winners won’t be the ones who built the most. They’ll be the ones who still know what’s working.

Engineering teams ship AI agents and automations faster than they can remember what worked, what died, and why. Institutional memory doesn’t keep up. The next build starts on top of a graveyard nobody wrote down.

That is not an argument against building. Letting go, on purpose, is part of the work. Cheap agents are supposed to be disposable. A team that keeps every one it ever shipped is probably a team that isn’t trying enough things.

The other kind is a forgetting. Something quit and nobody noticed. The same doomed idea came back a year later, built by someone who never saw the first one die. Something still runs that no longer earns its place. From the outside it can look like the same story. The difference is whether anyone can say which left, and whether they meant to.

The record

What exists tonight is a snapshot. It cannot tell you what you already forgot.

Organizations that treat AI labor like a workforce they can muster: visible, accountable, and improvable over time.

A survival record for internal AI: what was built, what still produces, what quit and why, starting with the engineers who build it.

Bravoure. A lasting account of the AI automations your engineers build: what they cost, what they produced, what still earns its place, and what quit.