Learn from agent interactions
Turns user corrections, failed paths, and particularly successful outcomes into behavior an agent can reuse.
Coding / product dossier
Reflexio
Turns agent corrections, failures, and successes into visible, testable, reversible behaviors.
Product brief
What Reflexio does.
Reflexio makes AI agents better with every interaction. When users correct an agent, a path fails, or something works particularly well, Reflexio turns that experience into behavior the agent can reuse next time. Instead of leaving valuable lessons buried in logs, your agent continuously learns what to repeat and what to avoid — with every learning visible, testable, and reversible. Reduce task failure rate by more than 30%, while saving tokens by more than 60%.
Why we selected it
It makes agent learning from corrections and failures inspectable and reversible rather than leaving it buried in logs.
- Best for
- Teams improving production agents
- Category
- Coding
- Daily picks
- 1
- First selected
- 2026-09-05
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Capture repeat-and-avoid guidance
Helps an agent retain what to repeat and what to avoid rather than leaving those lessons in logs.
Make learnings inspectable
Makes each learning visible and testable.
Reverse learnings
Describes learnings as reversible.
Best-fit use cases
Reuse an agent behavior after a user corrects its output.
Capture lessons from failed agent paths for future tasks.
Preserve behaviors associated with successful agent outcomes.
Review, test, or reverse a learning applied to a production agent.
FAQ
Before you open it.
What kinds of events can Reflexio learn from?
The description names user corrections, failed paths, and interactions that work particularly well.
What does Reflexio produce from those events?
It turns them into reusable agent behavior.
Can teams inspect the learning process?
The product description says every learning is visible and testable.
Can a learning be undone?
Yes. The description states that learnings are reversible.
Who is Reflexio intended for?
The supplied audience is teams improving production agents.
Selection history