Adding a person to a process does not automatically make the result dependable. The reviewer needs enough information, time, and authority to recognize a problem and change what happens next.

Define what the person is expected to check. Provide the original input and relevant evidence rather than only the generated answer. A review should have a clear path for correction or escalation when the result is unsuitable.

Observe the process during an ordinary case and an uncertain one. If the reviewer can only approve a finished output without inspecting its basis, the arrangement may need to change. Useful oversight is an actual task with a meaningful effect.

A small working example.

Consider one person checking factual claims and another editing readability. The separate tasks explain what each approval can reasonably establish.

A note to keep beside it.

Define the task before judging the answer. A fluent response can satisfy the shape of a request while missing a constraint that matters to the work.
A few starting points
  1. Define the reviewer’s responsibility.
  2. Provide input and relevant evidence.
  3. Keep a real path for correction.

Follow a related question

Define the understood inputs.

Where automation should hand back

Write the question beside the idea.

Capture the question first

Keep learning

Related background to continue exploring this subject.

NIST: AI risk management framework Google: prompt design strategies
Follow an idea