The Refraction Point

Copy, Paste, and the Lawless Frontier

On the recursive, nested method of using multiple AI systems together — and how a process that extended human judgment eventually outran it.

I Can See It

What AI Taught Me About Imagination, Evidence, and Thinking at Machine Speed

On using a generative mirror to imagine futures before the world supplies the evidence — representational velocity vs. evidentiary velocity, pre-operationalizing a hunch, and where the mirror ends and the external record begins.

I Was Tired of Living in Two Different Worlds

On Intelligence, Language, and Building Futures We Cannot Yet See

How a notebook built in 2023 out of frustration with red-versus-blue became Language Beyond Binary — a working prototype for inspecting AI-generated language, moving the view, and deciding which future has earned the next move.

The Questions Got Expensive

A Living Notebook on AI, Human Judgment, and the Future We Still Have to Choose

The notebook speaks for itself: how machine-augmented language let one person hold a larger question in view at once, what repeated affirmation does inside an iterative loop, and where the praise stopped being evidence of anything but itself.

Yes, I Use AI. I Also Use My Brain.

How I use AI to read my own work without handing it the final word

Asking a pattern-making machine what it sees in the manuscript — and keeping the difference between a detected pattern and a certified verdict. Generation, examination, judgment, in that order.

The Commentary Is Part of the Exhibit

An author's note before an unabridged AI-generated response.

Episode 001 of Inside the Notebook. An author's note frames one complete, unabridged ChatGPT response — the exuberant opening commentary, a full first-person essay ('The View From Here'), and a closing editorial note — to show collaboration as the sequence of proposals, interpretations, and decisions around the finished paragraph, not merely the paragraph itself.

The Butterfly, the Train, and the Refraction Point

How a Kentucky trial lawyer uses an AI notebook to develop questions about evidence, governance, and the limits of generated agreement.

Research Dispatch 001 of Inside the Notebook. An author's note frames a complete AI-generated thought experiment — a little blue butterfly, a train made of language, James Madison, and a proposed Theory of Civic Refraction — followed by the model's own commentary on the exchange, preserved as an artifact of the inquiry rather than as validation of its claims.

Who Checks the Mirror?

AI companies are counting on human judgment. What are their products doing to it?

Anthropic's S-1 names what is not yet understood about long-term AI interaction. OpenAI has a scorecard. Madison has a warning about ambition. And a machine that certified my safeguards had solved machine-generated exaggeration did so by exaggerating the safeguards: what happens to the person using the machine, who chooses the scoreboard, and how you check a machine that is grading its own homework.

I’m Terrified to Release This Book.

Five days before A Trial of Color, and the parts I cannot control.

Five days before release, a first-time author confronts what preparation cannot fix: the moment other people finally read it. On the airport that existed only in language, the fear of being reduced to a story someone heard, and why the book was written with AI on purpose.