AI / Agentic AI Interview Questions
What is Reflexion (self-correction) in agentic AI?
Reflexion is a self-correction mechanism where an agent critiques its own recent actions and outcomes, then uses that internal feedback to adjust its future behavior within the same task.
- Adds an internal feedback channel on top of the normal reasoning-action loop
- Helps reduce compounding errors, where one small mistake early on snowballs into a completely wrong final result
- Supports iterative repair, letting the agent retry a failed approach with an adjusted strategy instead of repeating the same mistake
This is conceptually similar to a person pausing mid-task to ask whether their current approach is actually working, rather than blindly continuing down the same path regardless of results so far.
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