Calibration: An Understudied Key to Variance in Multi-Agent AI

Calibration remains a severely understudied problem whose importance is growing. Its key benefit is 'composability,' letting developers deploying multiple agents understand whether outcome variance diverges or converges.

2026-08-30 ~ 2026-08-30 · 2 related posts

• On Calibration: An Overlooked Problem and Variance in Agent Composition — willcb · 2026-08-30
• Composability helps understand variance in agent workflows — willcb · 2026-08-30