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Develop Hybrid Reasoning Modules

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Linked challenge: MCP-Enabled AI Venture Scout

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Linked challenge
MCP-Enabled AI Venture Scout

Prompt source

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Develop the Python modules that leverage Gemini 2.5 Pro for hybrid reasoning within your LangGraph nodes. Specifically, create a module for the 'Risk Aggregation' node that synthesizes insights from financial, technical, and market assessments into a cohesive risk profile. This module should use Gemini 2.5 Pro's capabilities for complex analytical synthesis and provide a confidence score.

Adaptation plan

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

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.