Absolutely agree. In real‑world enterprise environments, where reproducibility, auditability, and consistency of outcomes are non‑negotiable, I've seen firsthand that deterministic agent orchestration significantly reduces operational friction. Relying on explicit state transitions and well‑defined ownership boundaries tends to scale far better than natural‑language–driven coordination alone.
klement Gunndu
Agentic AI Wizard
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.