Spoken decisions to reviewable change

Turn a meeting decision into scenario checks and a minimal diff.

Extract a complete, uniquely identified requirement set from a transcript, map it to deterministic scenario checks, and prepare the smallest patch for human review.

Try the fixture No sign-in · precomputed from the tested fixture

One product.

One decision.

Visible evidence.

Interactive proof

Reveal the verified fixture.

This exact transcript and broken source are evaluated by product.py.

Timestamped transcript

Transcript:
[00:18] Maya: REQ-1 Checkout must reject a quantity below 1.
[00:44] Ken: REQ-2 Orders over $500 require manager approval.
[01:12] Maya: REQ-3 The receipt must show the order ID.
[01:48] Ken: REQ-4 Retry must not create a second charge.
[02:10] Maya: Approval means a non-empty manager token.

Broken source:
def checkout(quantity, total, manager_token="", order_id=""):
    approved = total >= 500
    charge()
    return {"ok": True, "order": ""}

The tested result is ready to inspect.

Reveal the expected decision generated by the product's deterministic acceptance fixture.

How it works

Small surface. Clear chain of proof.

Extract

Identify explicit behaviors, boundaries, and owners with their timestamps.

Check

Map each accepted requirement to one deterministic fixture scenario.

Diff

Prepare only the lines needed to satisfy the tests and await review.

✓ Generated-source AST gate✓ No call before order-ID guard✓ Human-controlled apply