Agent Reflection & Self-Correction Loops
Make agents smarter by letting them critique and revise their own work. Learn the reflection pattern, when to use it, and how to bound it for production.
What is Reflection?
Reflection is an agent pattern where the model reviews its own output, identifies flaws, and produces an improved version — without a human in the loop.
It turns a one-shot answer into an iterative draft-then-revise process.
The Generator-Critic Pattern
Two roles drive reflection:
- Generator: produces a candidate answer
- Critic: evaluates it against criteria and suggests fixes
They can be the same model with different prompts.
All lessons in this course
- Designing Multi-Agent Systems
- Memory & State Management for Agents
- Autonomous Workflow Automation
- Agent Reflection & Self-Correction Loops