“And we also have a concept of like an agent trajectory store as well. That's more focused around the the coding piece where obviously you can have a huge number of of steps going on there. And it can be really important to kind of diagnose at what exact point looping started happening or you know, the model went off the rails.”

— KP Sawhney, Google DeepMind

Video moment · 13:56 · youtube.com

From “How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind”, found 2026-10-15.

Take

Sawhney describes an internal store that records the steps of long coding-agent runs, so engineers can find where an agent started looping or went off course. It sits alongside a UI for drilling into every request made by agents on Google’s shared agent back end. The captions don’t label speakers; the attribution to Sawhney is inferred from the panel’s flow. Quoted from YouTube’s auto-generated captions.