Reflexio helps AI agents learn and self-correct from production logs
kimmonismus · x · 2026-09-01
Reflexio is a self-improvement platform for AI agents designed to prevent agents from repeating the same mistakes. It learns from live production traffic, turning user corrections, failed paths, and successful outcomes into reusable behavioral rules.
Key Features:
- Closed-loop learning: Captures failure reasons and distills them into playbooks for future runs.
- Revocable rules: Teams can test rules against a control response and discard them if they degrade performance.
- Cost reduction: Cuts down on conversation turns and token usage.
Reported Results:
- 36% fewer task failures
- 47% better responses in head-to-head comparisons
- 57% lower token costs
Integration:
Offers a portable Skill (for Claude Code, Cursor) and SDKs for Python, REST, and CLI to integrate the Reflexio loop into existing agent lifecycles.
Related event: Reflexio Lets AI Agents Self-Improve from Production Logs(2 posts)→
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