A broad prompt can produce a polished response while leaving the real task unresolved. The model needs useful context, but the person reviewing the answer also needs a clear account of what was requested.
State the job, the relevant input, and the expected form of the result. Include important constraints and explain what should remain unknown rather than filled in. A small example can clarify a format or tone that is otherwise difficult to describe.
Review the output against the request and revise the prompt around the first meaningful mismatch. A longer prompt is not automatically a better one. The practical goal is a clear task and a result whose quality can be inspected.
A small working example.
A rewriting task can specify its audience, length, and required facts. Those details explain the intended work more clearly than asking for a better version.
A note to keep beside it.
Keep the origin of a claim close to the claim itself. A generated explanation and an independently checked source play different roles in understanding a result.
- State the job and relevant input.
- Describe the expected result.
- Leave unknown facts explicit.
Follow a related question
List the assumptions behind a prediction.
A thoughtful view of what comes nextInclude the date and time-zone context.
A time-zone note that travelsKeep learning
Related background to continue exploring this subject.
Google: prompt design strategies Google: an introduction to language models
