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The Agent Evaluation Readiness Checklist

Starting to think through how to test your agents? We put together a step-by-step checklist for building, running, and shipping agent evals. 🧪

We walk through:
→ How to read traces in LangSmith and analyze errors, before building evals
→ When to default to code-based graders and LLM-as-judge for subjective tasks
→ Needing both capability evals to push you forward, and regression evals to protect what works
→ How your best examples often come from production failures, and how to build the flywheel early

Check out the full checklist with deep dives 👇

LangChain shared an Agent Evaluation Readiness Checklist to help developers think through how to test their AI agents step-by-step.