A new agent loop architecture separates planning from execution to reduce errors in autonomous tasks. This design prevents the infinite loops common in current LLM agents. Developers can now implement more reliable multi-step workflows. It represents a practical step toward stable AI agents, though it remains an incremental improvement over existing frameworks.