AI planners fail in predictable ways, but finding patterns requires manual log diving.
A debugger that clusters similar failures, suggests prompt adjustments, and tracks improvement over versions.
Charge per monitored agent. Critical for production AI systems.
Start with simple error classification, then add automatic mitigation suggestions.
Risk: May need deep integration with specific planner architectures.