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Yhn HealthNutrition first seen 18 h ago, last 31 min ago, peak #1

Laminar launches RL model that spots errors in AI agent traces

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, has launched a reinforcement-learning-trained model designed to automatically detect errors in AI agent traces, the step-by-step logs of what an agent did. The launch is drawing attention from developers building AI agents, who face growing difficulty debugging and evaluating multi-step agent behavior in production.

Why now: Developer interest in tooling for debugging and evaluating AI agents is surging as agent deployments grow.

LaminarY Combinator

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