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A trace is the full record of what an agent did and why.
A trace is the full record of what an agent did and why. Reading traces is how you debug agents.
Tools like LangSmith, Traceloop, and Anthropic's Claude trace UI show every step the agent took, what tools it used, and what each tool returned.
The big idea: Reading traces is like being a detective — you reconstruct what the agent thought.
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-agent-trace
What is the main idea of "Reading an Agent Trace"?
Which concept is most central to "Reading an Agent Trace"?
Which use of AI fits this topic best?
What should a careful learner remember about "What a trace shows"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about trace be treated?
Name one way to verify an AI answer about trace.
Which action would help you apply "Reading an Agent Trace" responsibly?