Why human insight is a strategic advantage in building better agents

A LangChain blog post outlines three principles for efficient human-in-the-loop workflows: domain experts define quality standards, agents are evaluated within full conversation context, and human feedback is converted into reusable evaluation data. LangSmith's labeling queue supports review units based on single runs or complete threads; reviewers assign scores and rationale, which can be used to align LLM judges, update online evaluators, and build golden datasets.