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.
What does Reflexion add on top of the normal reasoning-action loop?
What kind of errors does Reflexion specifically help reduce?
More Related questions...
