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Adaptive Planning and Disruption Response
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Linked challenge: Autonomous 'Dark Factory' Orchestration with Claude Opus 4.5 and CrewAI
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Linked challenge
Autonomous 'Dark Factory' Orchestration with Claude Opus 4.5 and CrewAI
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Original prompt text with formatting preserved for inspection.
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Develop a scenario where a critical supply chain disruption occurs (e.g., a raw material supplier outage). Program your CrewAI agents to collaboratively detect this (e.g., Logistics Coordinator), assess its impact (Production Scheduler), and devise an adaptive mitigation plan (all agents, leveraging Claude Opus 4.1's reasoning and MCP for alternative sourcing/rerouting). The plan should be a structured output using Marvin.
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.