Candidly builds state-aware agent harnesses with LangSmith

Candidly's AI financial planner Cait reads partial traces to infer user state mid-conversation and steer replies, using a LangSmith labeling pipeline at 92.3% human agreement. The approach turns conversation analytics into a policy surface for live response selection.
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