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planning
Planning Phase: System Architecture Design
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Linked challenge: Optimize AI Data Center ROI
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Linked challenge
Optimize AI Data Center ROI
Prompt source
Original prompt text with formatting preserved for inspection.
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Design a LangGraph architecture for a multi-agent system focused on AI data center investment analysis. Outline the core agents required (e.g., Market Researcher, Financial Analyst, Regulatory Compliance Agent, Infrastructure Planner, Decision Agent), their specific roles, and the state transitions within your graph. Describe how these agents will communicate and collaborate to perform a comprehensive ROI and risk assessment. Specify which information each agent will contribute to the shared state.
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.