Polarity sits in your agent's production environment and logs every decision it makes. When something goes wrong — a bad tool call, a reasoning loop, an unexpected output — Polarity surfaces the pattern across runs rather than burying it in raw logs. The real differentiator is trajectory-to-eval conversion: instead of hand-writing evaluation cases, you turn real production trajectories (including failures) into a growing eval suite that keeps improving as your agent ships. Aimed at engineers and product teams running LLM agents in production who need more than traces — they need actionable signal on where reliability breaks down and a way to systematically close those gaps over time.