reflection

Self-critique improves AI output by prompting the agent to evaluate its own reasoning and results, identifying flaws to reduce hallucinations and enhance alignment with user goals.

The best way to implement iterative refinement is applying a three-step workflow—draft, critique, and revise—across reasoning tasks, code generation, and content creation to progressively refine output.

Yes, you can apply explicit guardrails during the self-review cycle to ensure safe and high-quality results, effectively reducing hallucinations across reasoning, code generation, and content tasks.

You should apply a self-review cycle after an agent generates an initial result, instructing it to perform iterative refinement whenever outputs require polishing or error correction.

Relying on self-assessment requires the agent to accurately identify its own flaws; if the initial reasoning is fundamentally flawed, the self-critique may fail to correct the errors effectively.