Self-Reflection
Self-reflection is a prompting technique where an AI model evaluates, critiques, and improves its own output in one or more follow-up steps. After generating an initial response, the model is prompted to identify errors, gaps, or weaknesses in its answer and produce a revised version — mimicking how a human might review and edit their own work before submitting it.
Example
You prompt: "Write a persuasive argument for renewable energy." After the model responds, you follow up: "Now critique your own argument. Identify any logical gaps, missing evidence, or weak points, then rewrite it addressing those issues." The revised output is typically stronger, more nuanced, and better supported.
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