Start here
Start here
Understand the project, its central question, and a short reading route.
This site is a public exploration of how to do knowledge work well with AI agents. Through connected essays, research notes, practical experiments, and evolving synthesis pages, the author develops an approach in public and brings readers along as their understanding changes.
The central question
How can we do knowledge work well with AI agents?
This question provides continuity while leaving the answers open. It includes what good work means, how understanding develops, what can be delegated, how results should be evaluated, and how learning can accumulate.
Who it is for
The initial reader is a curious practitioner who researches, analyzes, writes, designs, plans, or makes decisions and wants to work more effectively with AI. You need no background in systems theory or software engineering.
A short reading route
- Read the opening exploration on what knowledge work involves.
- Skim the first proposed experiment to see how practice enters the inquiry.
- Read the current synthesis — the approach so far — knowing it will change.
- Browse Explore for a theme that matches a problem you already have.
The reader promise
You should leave a page with a clearer understanding of a question, an example that makes it concrete, and something you can examine or try in your own work. You should be able to distinguish what is established, what is inferred, and what remains a working hypothesis.