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Learning Platform Helps Agents Improve From Production Experience
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This is a cool idea: a learning platform for agents. Basically, this helps agents improve using their real production experience. In other words: agents learn from what they do and what happens because of it. Some of the highlights: • It extracts potential lessons from production traffic • It validates those lessons using reinforcement learning • It evaluates whether those behaviors improve the agents • It uses those learnings to improve the agents They report 36% fewer failed tasks and 57%…
yyyiiillluuu@yyyiiillluuuAug 31
What if your agents got better every time they ran? Today we're launching Reflexio — the self-improvement platform for AI agents. It learns from live production traffic, so every interaction makes your agent smarter. Right now, failures, corrections, and wins in production get thrown away — and improving task success from those signals is slow and manual. We felt this pain firsthand. Reflexio closes the loop: when an agent fails, it captures why, distills it into a playbook, and the next run — for any user — starts with that lesson learned. The results so far: • 36% fewer task failures across customer deployments • 47% better responses in head-to-head comparisons • 57% lower token cost on GDPval when a similar task has been seen before And it compounds: playbooks keep refining themselves with every new interaction. Sign up free at https://t.co/zJjKxnIxpl — first 30 days of Pro on us.