control-layer

AgentOS provides a unified control layer for managing AI agents, tasks, and workspaces.

The article discusses a shift in focus from AI agent capabilities to agent governance, highlighting recent product announcements from Microsoft, Noma, Netskope, Immuta, and Outreach that establish control layers for agent identity, permissions, and audit trails.

LuthorAI has spent most of its funding on building its control layer for regulated marketing, now supporting over $850B in assets under management and enterprise clients.

This paper argues that AI agent performance depends more on the harness (control layer) than on prompts alone, proposing natural-language agent harnesses to make design choices inspectable and portable.