Trace-level cost reconciliation: Clay matches 99.5% of its AI spend with LangSmith
LangChain · x · 2026-09-01
LangChain founder Harrison Chase argues that for AI apps, "how much did we spend?" is less useful than "which workflow, tool call, prompt path, or retry pattern drove that spend?"—cost reconciliation at the trace level. In the quoted post, Clay uses LangSmith to reconcile 99.5% of its AI spend; Head of AI Jeff Barg says cost observability finally clicked once LangSmith was in place.
Related event: Clay Reconciles 99.5% of AI Spend with LangSmith Trace-Level Cost Tracking(3 posts)→
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