Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces

Laminar (YC S24) introduced flow-1, an RL-trained model designed to identify errors in AI agent traces. This model, developed by Robert and Din, offers detection quality comparable to GPT-6-sol but is 23 times more cost-effective. This efficiency allows for comprehensive analysis of all production agent traces without the need for sampling, making AI agent observability more accessible and affordable.