An interpretable agent graph lets investigators trace which nodes, inputs, models, rules, and tools influenced an outcome. A neat diagram is not enough if runtime decisions remain opaque.

Graph Interpretability Connects Structure, Decisions, and Evidence

In this situation—explaining why one learner received a different course route—which choice best applies “Graph Interpretability Connects Structure, Decisions, and Evidence”?

A capstone integrates learner discovery, knowledge retrieval, workflow control, multi-agent coordination, graph search, safety, evaluation, and deployment into one bounded system with documented evidence.

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