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Implement LangGraph Workflow

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

Linked challenge: Build a Factual Integrity Agent System

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Linked challenge
Build a Factual Integrity Agent System

Prompt source

Original prompt text with formatting preserved for inspection.

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0 checklist items
Implement the core LangGraph workflow for processing an incoming text snippet. This should include agents dynamically calling Model Context Protocol-enabled tools, performing extended thinking with GPT-5, and coordinating with Claude Opus 4.1 for adversarial analysis. Provide code snippets for key nodes and edges.

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.