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Orchestrate Research and Synthesis Workflow

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

Linked challenge: 'ARC-AGI' Research Agents for Complex Problem Solving

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Linked challenge
'ARC-AGI' Research Agents for Complex Problem Solving

Prompt source

Original prompt text with formatting preserved for inspection.

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Design the main CrewAI workflow. Start with the 'Problem Decomposer' breaking down the initial abstract problem statement. Pass sub-problems to the 'Knowledge Synthesizer' which utilizes its Pinecone memory and potentially the Ray Serve tool to conduct iterative research. Finally, the 'Critical Evaluator' should review the synthesized findings, identify gaps or inconsistencies, and prompt for refinements, leading to the final research report. The workflow should clearly define how tasks are chained and results are passed between agents to produce the output for 'ComplexResearchReport'.

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.