What does it mean that false negative rate?

An agent that fails to fire when it should leaves you exposed to undetected problems — the silence feels like safety, but it is blindness.

Example: You built an agent that's supposed to flag when you're overcommitting your calendar. Last month you said yes to six evening events, missed three family dinners, and burned out by Friday — but the agent never fired. You didn't notice the pattern because no alarm went off. The absence of a warning felt like permission. It wasn't. Your agent's false negative rate was 100%: every situation it should have caught, it missed.

Try this: Pick one agent — a habit trigger, a review routine, a decision rule — that you trust to catch problems. Look back at the last 30 days. Identify at least two situations where that agent should have fired but didn't. Write them down. For each miss, note: what was the situation, what should the agent have caught, and why did it stay silent? This is your empirical false negative audit.