Your agent can remember every correction and still repeat the same mistake.
Memory preserves what happened. Learning turns the outcome into a reusable rule for what the agent should do differently next time.
That s how Reflexio enables knowledge sharing: a lesson from one interaction can become a tested, scoped, and reversible behavioral improvement that benefits every user not just the person who provided the correction.
The real measure of learning isn t whether an agent recalls its mistakes. It s whether those mistakes become less common over time.
Clipto
Congrats! Does Reflexio learn per-user, per-agent, or globally? Curious how you separate a correction that's specific to one person from one that applies to everyone.
Reflexio
@henrykang thanks for the question, reflexio learns user profiling information and user level playbook at first. When there is a pattern detected across users, we will find the agent-level and global-level playbooks that can help any user, including new users. Therefore, Reflexio can help the agent quality cold start problem as well!