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planning
Define Agent Environment and Claude SDK Setup
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build an Agentic AML Entity Resolution Engine with Claude Agents SDK
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Linked challenge
Build an Agentic AML Entity Resolution Engine with Claude Agents SDK
Prompt source
Original prompt text with formatting preserved for inspection.
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Initialize a Python environment using the `claude-agents-sdk` with `claude-4-opus`. Configure custom tool definitions for querying transaction graphs, resolving fuzzy name matches, and calculating transaction velocity across 24-hour windows.
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.