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This article discusses the challenges of evaluating and monitoring LLM-based agents in production, covering offline evals, prompt engineering pitfalls, observability tools, review queues, labeling, clustering, topic classification, and cost-effective layering of human review, LLM-as-a-judge, and small classifiers.