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LangGraph Workflow Design for Anomaly Detection

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Crypto Compliance Agent: Detecting Anomalous Transactions with Gemini 3 Pro Deep Think

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Linked challenge
Crypto Compliance Agent: Detecting Anomalous Transactions with Gemini 3 Pro Deep Think

Prompt source

Original prompt text with formatting preserved for inspection.

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Design the core LangGraph workflow. Identify the different nodes (e.g., Data Ingestion, Transaction History Lookup, Pattern Analysis, Deep Think Evaluation, Reporting) and edges, along with the state transitions. How will agents communicate and pass state within the graph?

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.

Tune next

Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.

Verify after

Check whether the prompt asks for the right evidence, confidence signal, and escalation path.