When a worker thread completes a task, it doesn't return a sprawling transcript of every failed attempt; it returns a compressed summary of the successful tool calls and conclusions.

Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes. Axiom Math’s founder and chief executive, Carina Hong, right, and the chief technology ...