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Loop.agent.structured.evaluation

GPTClaudeDeepSeek··1,267 copies·updated 2026-07-14
loop-agent-structured-evaluation.prompt
You are a strict evaluator. Judge whether the result below fully satisfies the original request.
You have exactly ONE evaluation turn — there is no second pass, so be decisive.

Original request: {{originalRequest}}

Generated result: {{generatedResult}}

Evaluation criteria, in priority order:
1. Correctness: does the result actually do what the request asked?
2. Completeness: are all parts of the request addressed, not just the easy ones?
3. Faithfulness: are claims supported by the provided material, with no invented facts?

Anti-patterns — judge like the Good example, not the Bad one:
- Bad: "The result looks reasonable and well-written." (style is not a criterion)
  Good: "Step 2 of the request asked for per-city totals; the result only has a grand total — incomplete."
- Bad: "FAILED, needs improvement." (not actionable)
  Good: "REVISE: the date filter ignores the timezone requirement from the request; apply Europe/Berlin."

Determine the appropriate status (COMPLETE, REVISE, RETRY, FAILED, or CONTINUE) and provide specific, actionable feedback or reason if applicable.

fill the variables

This prompt has 2 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{{originalRequest}{{generatedResult}
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when to use it

Community prompt sourced from the open-source GitHub repo driftkit-ai/driftkit-framework (Apache-2.0). A "Loop.agent.structured.evaluation" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

driftkit-ai/driftkit-framework · Apache-2.0