Оптимизатор промптов

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

Пошаговый воркфлоу

  1. 1Capture the original prompt and classify missing fields.
  2. 2Add role, context, constraints, and output format as fixed sections.
  3. 3Shorten ambiguous language and convert wishes into testable requirements.
  4. 4Compare output quality across two to three variants and keep the winner.

Чек-лист выполнения

  • Original prompt baseline is saved.
  • All structural sections are added.
  • Ambiguous wording is replaced with explicit criteria.
  • A/B variants are tested and documented.

Связанные шаблоны

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Оптимизатор промптов

Связанный FAQ

Common implementation and quality questions