A new paper proposes a layered architecture to separate inference, orchestration, and execution in autonomous systems. It uses Ollama for the inference layer and OpenClaw for execution. This framework aims to move LLMs from reactive interfaces to goal-driven agents. Practitioners can use this model to better evaluate full-stack agentic scalability.