AI agents are systems problems
The difficult part of useful agentic AI is not the model call. It is everything required to make judgment and action reliable.
Writing
Essays, research notes, experiments, and field notes about intelligent systems and the real engineering required to make them useful.
Topics describe what an idea is about. Formats describe what kind of writing it became.
Models matter. But architecture, context, permissions, evaluation, and operations decide whether an agent becomes infrastructure or remains a demo.
Read the essayThe difficult part of useful agentic AI is not the model call. It is everything required to make judgment and action reliable.
Human approval, provenance, and permissions should shape an agent system from the beginning—not arrive as an afterthought.
A research note on giving efficient local models and larger central systems different jobs inside one security architecture.