The observation about agents optimizing locally instead of for system-level success is exactly what we hit in production. We run multi-agent orchestration where each agent has bounded autonomy and a shared state machine — but the coordination still breaks when agents interpret ownership differently. Cursor's pattern of structured task state over natural language handoffs matches our finding: deterministic routing between agents with LLM judgment only at decision points, not coordination.