A broad request can leave the tool generating material long after the useful part of the task is complete. It can also make review difficult because the desired result was never defined clearly.

Choose a small job with an identifiable output and a way to check it. State when the process should stop or ask for missing information. Keep actions with meaningful consequences subject to the level of review appropriate to the task.

Evaluate the experiment before expanding it. A narrower scope may remain the best use of the tool. A clear stop makes the contribution easier to understand and leaves the next decision with a person who has the relevant context.

A few starting points
  1. Define a small output you can check.
  2. State when to stop or ask for information.
  3. Review the result before expanding the task.

Picture this situation.

Imagine asking an assistant to suggest headings, then stopping for an editor to choose one. The bounded task keeps the decision in an understandable place.

A second way to look.

A small trial should have a clear stopping point. Decide which uncertainty the tool can help explore and what observation would answer the next question.

Follow a related question

Define the rule behind each field.

A dictionary for your columns

Give the note a descriptive title.

Notes you can find again

Keep learning

Related background to continue exploring this subject.

NIST: AI risk management framework Google: prompt design strategies
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