On AI in the Loop.
The note that opens the book, reproduced in full. From Predictive Planning: How AI and Scenario Planning Make Strategy Continuous — Colloquial Media, June 2026.
At one point, writing a book meant something. Intellectual commitment. Years with a subject. A signal that the author had earned the reader's attention by the sheer cost of getting the thing onto the page.
That world is partly intact in the minds of many. The body is already dead. We are at the wake, and most people have not yet noticed.
Consider the Monet and the replica. A technically perfect copy of a Monet may be indistinguishable from the original — same colors, same composition, sometimes better preserved. It is worth almost nothing. There are stories of paintings hung for decades in major galleries, drawing crowds and praise, that lost almost all their perceived value the moment they were discovered to be replicas. Same brushstrokes. Different value. Originality was the thing the market was actually pricing.
Will that pricing hold when you can no longer tell?
Some people will tell you this is just another revolution — the typewriter, the player piano, the camera. They are wrong. The typewriter could not write your book for you. The player piano could not compose. The camera could not invent the scene. Today's tools can. Every prior revolution accelerated human labor; this one substitutes for it. Treating those as the same category is the move people make when they do not want to look at what is actually happening.
So I am going to look at it directly, and I am going to make you look too. The first draft of this book came from a single prompt after compiling a comprehensive network of interconnected thoughts, texts, notes, and artifacts. The book you are reading is what happened after I spent weeks rewriting it, arguing with it, and deciding what to keep.
The framework is mine. The argument is mine. The voice is mine. The years of work behind the framework — the engagements, the failures, the pattern recognition — are mine. The labor of getting the thing onto the page was shared with Claude, an AI assistant from Anthropic, using the Opus Large Language Model.
The discomfort you may feel about an AI-drafted book is the same discomfort a CFO feels when AI begins to draft strategy decks, a lawyer feels when AI begins to draft briefs, a chief of staff feels when AI begins to draft the operating plan. The category my book is in is the category your work is in. We are all about to find out what is left when the labor is no longer the differentiator.
That is what this book is actually about. Predictive planning is the working answer to a question: what does strategy work look like when AI can do the volume? If a working executive can publish a real manuscript with AI in the loop, the question of what publishing infrastructure is for is the same question the book is asking about every other organizational discipline.
I am publishing under my own imprint, Colloquial Media — no agent, no editor, no launch campaign. The book stands on whether it is useful.
The discipline I describe is mine. The labor of getting it onto the page was shared. If that bothers you, the rest of the book will probably bother you too. The discomfort is the door.
— Tim Woodring
The rest of the argument runs 277 pages — fourteen chapters, Woodring’s Loop, and the named instruments. Foreword by Thomas Chermack.
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