Pick the model. Prove the path. Gate the change.

Others help you inspect AI agents. We decide whether the change ships — local contracts, deterministic rubric, score + rough cost, and a CI exit code. Wire the gate free; pay later for release evidence.

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The gap

Stack green ≠ ship confidence.

Observability and eval tooling tell you what happened. They do not answer ship or don’t. Spot checks and traces are not a fixed scored re-run of the paths that matter — so a quiet miss can still ship after a model or prompt change. The durable fix is continuous re-gating in CI on every change — not a one-time model pick. Not a model vendor: you keep the stack; we score the ship gate.

Example: on Partition Filter Fix, Nova Micro matched Claude Haiku 4.5 at 8.0/10 for roughly 1/32 the sampled cost. Browse benchmarks →

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See it

Watch how the gate works

Sixty seconds: inspect vs ship, one command, score + cost + exit code.

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