Faithful uncertainty in LLM agents: calibration vs utility tradeoff in practice[D]

In three linesResearcher tests uncertainty calibration in LLM agents using planning + verification pipeline. Verification catches 60% of hallucinated tool calls before execution, but reduces easy correct answers by half. Solution: flag low-confidence tasks for human review, auto-execute high-confidence ones.

Summary generated by Claude — human-verified