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.
- State the job and relevant input.
- Describe the expected result.
- Leave unknown facts explicit.
Imagine a practical setting.
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.
Before the next experiment.
Treat an example as part of the instruction. Its omissions and boundaries can influence a result as much as the words that describe the task.
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Related background to continue exploring this subject.
Google: prompt design strategies Google: an introduction to language models