Ottimizzatore di prompt
Prompt Optimizer: Before vs After Framework
How to transform rough prompts into high-clarity instructions that produce stable outputs.
prompt optimizer guideUpdated 2026-03-11
Workflow passo passo
- 1Capture the original prompt and classify missing fields.
- 2Add role, context, constraints, and output format as fixed sections.
- 3Shorten ambiguous language and convert wishes into testable requirements.
- 4Compare output quality across two to three variants and keep the winner.
Checklist di esecuzione
- Original prompt baseline is saved.
- All structural sections are added.
- Ambiguous wording is replaced with explicit criteria.
- A/B variants are tested and documented.
Template correlati
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Apri strumento
Ottimizzatore di prompt
FAQ correlata
Common implementation and quality questions