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implementation
Setup CrewAI Team
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a Purdue Model Edge Synchronization Agent System with CrewAI
Format
Code-aware
Lines
5
Sections
3
Linked challenge
Build a Purdue Model Edge Synchronization Agent System with CrewAI
Prompt source
Original prompt text with formatting preserved for inspection.
5 lines
3 sections
No variables
0 checklist items
from crewai import Agent, Task, Crew ot_engineer = Agent(role='OT Engineer', goal='Extract SCADA metrics safely', backstory='Expert in SCADA and OPC UA') it_architect = Agent(role='IT Architect', goal='Ingest metrics into Cloud', backstory='Cloud data warehouse specialist') security_officer = Agent(role='Security Officer', goal='Enforce Purdue Model isolation', backstory='IEC 62443 expert') # Configure crew and tasks
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.