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Three moves
  1. Understand

    You bring the problem and the constraints. We turn them into a spec with a number attached: the metric that proves it worked.

    Problem Constraints Success metric
  2. Build

    Design first, then a running system, shipped in slices you can react to, not a reveal at the end.

    Design Code Evals Ship
  3. Run

    Most shops leave at launch. We operate what we ship: releases are watched, numbers are read, and what we learn feeds the next turn.

    Deploy Watch Learn

Then the loop turns again.

The guardrails

AI writes a large share of the code. It never approves it. Changes are classified by risk before they run. Routine work merges on green evals. Anything touching security, user data, or money routes to a human, or to a different model, for approval. Every run leaves a ledger entry, so “it passed” is a log you can read, not a claim we make.

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