From the source
Laminar introduced flow-1, a model trained with reinforcement learning to understand agent traces and identify hard-to-spot failures.
On the company's benchmark, flow-1 matches GPT-6-sol in detection quality while being 23x cheaper.
It runs inside the Signals agent, which treats a trace as a repo and returns structured JSON following the user's schema.
