AI turned your team into a factory.
Factories need a floor manager.

Six months ago the industry argued about how to scale human code review. That argument is over. The question now is how to get the most people — and the most agents — contributing the most code to the most places. Engineers run agents. Agents open pull requests. Bots merge dependency bumps. Non-engineers ship through an assistant. The roster didn't grow. The graph did.

Stop measuring electricity.

Seat licenses, token spend and daemon telemetry measure the inputs: who used which tool, for how long, at what cost. They don't say what landed, whether it held, or who answers for it. A dead end burns two million tokens; the commit that ships costs ten thousand. Input metrics can't tell them apart.

It has to land somewhere.

Every path — a laptop, a cloud agent, a CI bot, a teammate using an assistant you didn't know about — ends in the same place: a change in your repository. The set of tools grows every quarter. The set of exits doesn't. Watch the exit, not the tools.

A robot can't be held accountable.

Authorship stopped being the useful question. Accountability didn't. Someone merged it, approved it, or owns the code it touched. The Linux kernel has worked this way for thirty years: maintainers own subsystems, and a human signs off on every patch no matter who — or what — wrote it. Most companies have the same structure in their CODEOWNERS files and service catalogs. They just can't see it.

How it's built, not how it runs.

Runtime tools tell you how software runs. Usage tools tell you whether people use the AI you bought. Teleos tells you how it's built: every change, every author, every voucher — and which team owned that code when it landed. Self-hosted, so the record of how your software is built never leaves your infrastructure.

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