Reads flow freely; writes queue for one-click approval with full context shown. Reviewers correct the system's mistakes, and every correction is training signal and audit evidence.
Approval UX matters: batched queues, diffs not walls of text, clear accept/edit/reject, and latency budgets so the loop helps instead of bottlenecks.
Per action type: accuracy over N cases → autonomous execution, with exceptions and irreversibles still gated. The ladder is policy, agreed before launch.
Money movement, legal commitments, and irreversible deletions keep human approval forever — not because models can't, but because accountability must live somewhere.
Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.
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