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System Simulation and Reporting
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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
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Create a simple simulation environment (e.g., Python script) that generates factory events (normal operation, minor faults, major disruptions). Deploy your agent system within this simulation. Implement a dashboard or reporting mechanism that displays agent activities, decisions, and system performance metrics, demonstrating MCP tool usage and A2A communication.
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 rubric, target behavior, and pass-fail criteria as the baseline for evaluation.
Tune next
Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.
Verify after
Make sure the prompt catches regressions instead of just mirroring the happy-path examples.