The models improved to the point that they eventually became difficult to break in the team's workflow-automation use cases.

“And so we'd, we'd, we'd seed it with, like, a lot of examples, and then over time we'd make that library bigger and bigger. But then the models just got so good that eventually it became hard to break.”