Mirrors
Fixes AI agents' recurring mistakes with scoped corrections, not prompt patches
Finds mistakes your AI agent keeps repeating in production, lets you write a targeted correction, and previews exactly which past sessions it would have changed before you turn it on. Each correction is scoped to specific accounts or workflows instead of added to the system prompt, where it would run on every request. Outcomes get measured with and without the fix, across a logged base of 711,933 agent sessions, and it works with any framework — LangChain, CrewAI, AutoGen, MCP, Claude Code and more.
What holds up
- +Previews exactly which past sessions a correction would hit before it goes live
- +Measures outcomes with and without each fix — not just patch-and-hope
- +Works with any agent framework: LangChain, CrewAI, AutoGen, MCP and more
Mind the limits
- −No self-serve signup or pricing — you have to book a demo first
- −Only useful once you have production usage to mine mistakes from
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