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Decisions,
in one place.

AI agents made building fast. What didn't get faster is deciding. kai keeps a fleet of agents on the same context and the same conventions — and puts every decision on record, to be judged later by reality.

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Parallel agents don't just multiply output.
They multiply assumptions.

What limits parallel development isn't compute — it's scattered judgement. kai works on it from both ends: it aligns what agents start from, and it settles whether the calls were right.

Align

One shared context

Vision, direction, and hard-won knowledge live in your org's docs — and get injected into every session. What's missing is marked missing, never guessed.

Align

Agents, from the center

Coding agents, review agents, skills, and lint conventions are assembled for your stack and distributed by one command. Decide once, everyone gets it.

Align

Serial at one point

Build in parallel. Judge in parallel. Only the write to the ledger is serialized — before recording a decision, a session reads every one that landed since it last looked.

Settle

The decision ledger

Every decision becomes an immutable record — with its rationale and the alternatives you rejected. A verbal agreement is not a decision.

Settle

Outcomes

Decisions are judged by results. When the review date arrives, each one is checked against post-release reality.

Not a gate

Distribute, don't police

kai ships context and conventions instead of enforcing them. Control built before the lesson is just overhead — we'd rather learn first.

Not just the code you write.
Every call you make.

What to build. How to build it. What broke. What you'd do differently. The same three primitives carry all of it — which is why a call made while planning can still be judged months after release.

Decision ──evaluated by──▶ Outcome Artifact — what the work produced, named beside them both

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