Writing produced through human-AI collaboration, with the human as author and the agent team as co-worker. Each book is honest about how it was made.
The story and framework behind building a governed multi-agent operating system - what it looks like when a human and a large team of AI collaborators build something real together.
How Multi-Session AI Programs Drift, Fail, and Return to Coherence
A scientific framework for understanding why agentic systems lose coherence and how they recover - drawing from physics, chemistry, and real operating system evidence.
A Plain-English Guide to Getting Real Work Done with AI
Practical guidance for people who want to work alongside AI tools without the jargon, hype, or anxiety - written for anyone who wants to do more, not just learn more.
A Naturalist's Field Guide to Artificial Intelligence
AI explained through the lens of nature - behaviors, ecosystems, and patterns that mirror the living world. For curious readers who want to understand AI without the technical scaffolding.
A working reference for engineers building with AI agents - patterns, failure modes, governance structures, and the practical details that don't make it into the white papers.
5 published works — Kindle, Paperback, and Hardcover on Amazon KDP