What are good prompt engineering examples?
Strong examples pair a clear objective with minimal but relevant context and a tight output format. For instance: a data-extraction prompt that includes a 3-row example and a JSON schema; a summarization prompt with audience and length rules; a code-review prompt with a defect checklist; a support prompt that lists allowed/forbidden actions. Good examples also show error handling: what to do if info is missing or ambiguous. Study prompts that solved real problems, then adapt them to your domain’s terms, edge cases, and success metrics.
In practice
Every example should teach one idea. Avoid mixing multiple novel patterns in a single template or you won’t know what caused the improvement.
Where to start
- [01]Collect 10 prompts from your team that saved real time.
- [02]Refactor them into clean templates with placeholders.
- [03]Add a ‘what to do if info is missing’ clause to each.
- [04]Build a small A/B harness to test examples on fresh inputs.
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