Launch HN: Laminar (YC S24) – We trained a model to catch silent agent failures | Hacker News
Hi HN, we’re Robert and Din from Laminar (https://laminar.sh). We’ve been building open-source observability for AI agents since 2024. Recently, we released flow-1, a model trained with RL to find errors in agent traces. On our benchmark (https://laminar.sh/blog/flow-1), it matches GPT-6-sol in…
No discussion yet. Be the first to share your thoughts!