Manage agents by proof.
AI agents are easy to start and hard to supervise. The mistake is judging the work by effort, tool logs, or confident summaries. Proof-based management judges the work by what can be checked.
- Name the outside-world result. "Update the page" is weak. "The public pricing page shows the new refund line" is checkable.
- Define what must not change. Good boundaries prevent an agent from solving one problem by breaking a quiet dependency.
- Ask for the actual evidence. A screenshot, public URL, exact receipt, exported file, or Stripe transaction is stronger than "tests passed."
- Require an unproven list. If the agent cannot name what it did not verify, it probably does not know where the risk is.
The useful question:
What would I personally look at to believe this is done?
The $1 version.
The Agent Handoff Checklist turns this method into a reusable handoff and review sheet you can paste into agent work before the mess starts.
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