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Build the system that tells a team whether a prompt or model change made the product better or worse — automatically. Covers offline eval with LLM-as-judge, CI regression gating, online production sampling, human annotation queues, and eval for RAG, agents, and classifiers at the scale of 450 million evaluations per month.