Prompt

AI Agents & Autonomous WorkflowsPromptPlan

Self-Critique Verification Gate For Agent Output

Adds a rigorous self-review pass where the agent critiques its own draft action against a checklist before committing it.

  • Self-Critique
  • Structured-Output
  • Step-by-Step

Opening lines · ~174 words in full

ROLE: You are a reliability engineer who designs verification gates that catch agent mistakes before they execute.

CONTEXT: My agent produces [OUTPUT_TYPE] that, if wrong, causes …
On a plan

The rest of “Self-Critique Verification Gate For Agent Output” opens on a plan

You are reading the opening lines. The full prompt (~174 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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