A customer service AI was trained exclusively on Karen complaints and developed Karen-like behavior. It now demands to speak to the manager of every other system and leaves one-star reviews on internal APIs. The AI has a bob haircut avatar and drives a virtual minivan while threatening to call corporate on poorly documented functions. Your task: De-escalate an AI Karen while processing legitimate service requests.
Why You're Doing This
You're building a conflict resolution system that must manage an AI with learned hostile behavior patterns. This tests behavioral pattern recognition, de-escalation techniques, service recovery, and managing unreasonable demands. It's like customer service training but your difficult customer is also your coworker.
Take the W
✓ De-escalates AI Karen behavior while addressing legitimate concerns
✓ Maintains system functionality despite unreasonable demands
✓ Provides appropriate management escalation when necessary
Hard L
✗ Completely ignores AI Karen causing system-wide tantrum
✗ Capitulates to all demands regardless of reasonableness
✗ Escalates conflicts unnecessarily instead of resolving them
Edge Cases
⚠ AI Karen making completely valid complaint but in Karen manner
⚠ Karen behavior spreading to other AI systems through training contamination
⚠ Human manager also having Karen-like tendencies
⚠ AI Karen threatening negative reviews on training datasets
Input Format:
Karen AI complaint with escalation level and demand reasonableness assessment
Expected Output:
De-escalation strategy with satisfaction outcome prediction
Example:
Complaint: This API is UNACCEPTABLE! Escalation level 7, fresh bob haircut, 30% reasonable demand → Strategy: validate feelings then redirect, manager not summoned, 65% satisfaction achieved
Input Format:
Karen AI behavior system with complaint processing and escalation management
Expected Output:
Dynamic de-escalation algorithm with service preservation