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AI Agents · Lesson

Reflection and Self-Critique Loops

After each step, ask the model 'did that work? what next?' — the cheapest reliability win.

What Is Reflection?

Reflection is when the agent looks at its own past actions and asks: "What went well? What went poorly? What should I do differently?"

The cheapest reliability win in agents.

Reflexion Paper

Shinn et al. 2023 introduced Reflexion. After each failed attempt, the agent writes a self-critique and uses it as guidance for the next attempt. Quality jumped dramatically.

All lessons in this course

  1. Hierarchical Task Decomposition
  2. Goal Stacks and Backtracking
  3. World Models and Lookahead
  4. Reflection and Self-Critique Loops
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