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YC-backed Laminar launches RL model to debug AI agents

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

Laminar, a startup from Y Combinator's Summer 2024 batch, launched on Hacker News with a reinforcement-learning-trained model that automatically finds errors in AI agent traces. The tool targets developers building agent systems, where debugging multi-step failures is a growing pain point. Early discussion on the launch thread is focused on how well the model performs on real agent workflows.

Why now: The startup just launched publicly and developer interest in AI agent debugging tools is high.

LaminarY Combinator

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