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Version: 0.1.0

AI Review β€” a second opinion

Beyond the automatic checks, the AI Review button (top-right) asks an AI to critique a layer for quality β€” vague names, missing pieces, over-wiring, a workflow that never completes. It's a second opinion, always yours to accept, act on, or reject.

The loop​

The AI Review panel is a closure dashboard: each layer shows a status and the Review β†’ act β†’ re-review loop.

  1. Review a layer β†’ the AI returns a list of findings, each with a severity (a concern vs. a subjective suggestion), a message, and a concrete suggestion.
  2. For each finding, choose how to close it:
  3. Re-review to confirm β€” the panel shows you exactly what changed (see Progress & loops).
It's advisory, and it doesn't converge to zero

The AI reviewer is calibrated to always find something β€” a few subjective suggestions is a fine place to stop. Findings are judgment calls, not a checklist that hits zero. The panel says so, and nudges you when you've refined a layer enough.

Apply vs. Fix​

There are two different "make it better" actions, and the difference matters:

  • Apply (the batch button) feeds your accepted points back and regenerates the whole layer. It's good for early, sparse layers β€” but because it rebuilds everything, it can undo earlier fixes and oscillate. Re-review to confirm it actually helped.
  • Fix (per finding) applies one precise edit and nothing else β€” it converges.

The next pages cover both, and how to tell progress from churn.

Cost​

Each Review, Apply, or Fix that calls the model costs a small amount (shown as a spend estimate). This feature needs a real model, so it's available when you run your own instance with an API key β€” not on the keyless public demo.