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How Benchling builds agents when the smartest AI isn't smart enough

Benchling runs multiple models from different providers on the same task, using agreement as a quality signal to detect errors. Head of AI Nicholas Larus-Stone also describes a weekly 'fire chief' trace review process and reliance on user feedback for monitoring.

Jun 11, 8:31 PM
How Benchling builds agents when the smartest AI isn't smart enough — AIBriefs