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Reflection Agent

Reviewed 19 July 2026 Canonical definition Part of: Agent Evaluation Terms →

A reflection agent is an AI agent that critiques and revises its own outputs before returning a final result. After completing an initial draft or action plan, the agent re-evaluates it against quality criteria or constraints and iterates until the output meets the required standard. Reflection improves accuracy and reduces hallucination but increases token consumption and latency.

§01 / QUESTIONSterm: Reflection Agent
Questions

Common questions.

What is Reflection Agent?

A reflection agent is an AI agent that critiques and revises its own outputs before returning a final result.

Why does Reflection Agent matter for AI agents?

After completing an initial draft or action plan, the agent re-evaluates it against quality criteria or constraints and iterates until the output meets the required standard. Reflection improves accuracy and reduces hallucination but increases token consumption and latency.

Which terms are related to Reflection Agent?

Closely related concepts include Quality Gate (AI), Evaluation Harness (Agent), Reflection, Ground Truth Evaluation. Each is defined in the Prefactor glossary.

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