01 / AI SYSTEMS
I Built an AI Operating System to See How Much of a Company Could Run Itself
A field note on persistence, context, agent boundaries and the difference between a demo and an operating layer.
A focused editorial backlog for practical, evidence-backed thinking about AI automation, business operations and the path from tool experiments to operating leverage.
A field note on persistence, context, agent boundaries and the difference between a demo and an operating layer.
A practical way to identify repetitive work with clear inputs, decisions and exception paths.
Why the bottleneck is often the connection between systems, not the model itself.
When deterministic workflows are enough and when context-aware action is worth the additional architecture.
Research, evidence and the operating requirements behind useful procurement intelligence.
A bridge from founder experience to the business case for operating systems and automation.