About Ryan Hunter
I came up through direct-response marketing and software engineering. One asks what makes a person act. The other asks what makes a machine act. I build agent systems inside my own businesses, where a good answer still has to become a decision, a delivered result, and something the company can use again.
I think of myself as a bridge between the technical and the human. I help people figure out how to relate to, use and work alongside these new intelligences, and what their own place is inside the Age of Abundant Cognition.
Cognition is becoming abundant. Agency isn't. That gap is the work.
Here's the agency model: a way to see where cognition becomes a real move. The kernel is the one-page version you can use when a project stalls.
The larger argument starts with The Age of Abundant Cognition.
The research underneath it
The business problems led to a larger question: what does a company need around its agents so its judgment, authority and memory survive each task? I followed that into institutional design, agent economies, public data, creative production and formal models of shared reality.
- The Agentic Companythe operating anatomy and the questions it forces
- The Institutional Kernelwhat an organization accepts and who may change it
- The working papera typeset paper edition with references
- The kernel preprintK-12, G-9 and M-7, with the specifications beside it
What I write about
I write about what changes when cognition gets cheap and consequences stay real: the software, the operating methods, and the human decisions in between. Read the work on the Writing page.
Where I work from
A farm. The agents run while I'm out with the pigs, which is most of the point.
A few minutes a day to increase what you can actually do with AI.
Every morning: one field-tested idea, tool or case to help you make better decisions, build faster, delegate more safely, compound your work, and make real things with AI.