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Design LangGraph for Investment Research
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: LangChain-Powered AI Investment Research Platform for Defense & Security
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Linked challenge
LangChain-Powered AI Investment Research Platform for Defense & Security
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
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0 checklist items
Design a LangGraph workflow that orchestrates a multi-agent system for defense and security AI investment research. Define at least four nodes representing distinct agent roles (e.g., 'Market Scanner', 'Financial Analyst', 'Risk Assessor', 'Report Generator'). Specify the state transitions and tool usage for each node, ensuring the 'Market Scanner' agent utilizes Browserbase and all agents use OpenAI o4-mini for reasoning. Detail how Adept would be used to manage this 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.