Fix your AI agent's errors at runtime, so they never happen twice
Your agent worked fine yesterday. Today it loops, drops context, or calls a tool with the wrong arguments, and you find out from a user. Teams shipping AI agents change prompts, models, and tools constantly, and the same failures keep coming back in production: context loss, loops, broken tool calls, regressions after a refactor. Mirrors learns from your agent's production traces. It captures what worked and what failed in real sessions, then delivers the fix at runtime. Instead of waiting for someone to notice a regression and patch it by hand, the fix is applied automatically, so the same error never happens twice. Built for teams whose agents do things they can't undo, like issuing refunds, updating customer records, or sending outbound email.
