Maxwell
A Thermodynamic Hypervisor for Autonomous Agents
Occasionally, I like to pick something adjacent to what I am working on that I am not familiar with and run through a quick research project that is well out of my depth.
Below is a journal of how I use AI throughout that process.
The distilled output of this research:
Maxwell: A Thermodynamic Hypervisor for Autonomous Agents →Research Notes
Picking a Problem
Surveying five OS-level AI problems. Landing on Jevons Paradox and the question of fairness.
Understanding the Project
Creating vision.md, architecture.md, and roadmap.md. The vision is what you use to constantly redirect the code.
Research Planning
Identifying unknowns in the roadmap and creating research directives for parallel investigation.
Hydrating the Roadmap
Expanding roadmap steps with research findings and running a confidence check.
Project Setup
Creating expert agents and setting up quality hooks before writing any code.