Who it is for
For anyone who wants far better answers from today's 'thinking' AIs and is ready to hand them problems the way those models solve them.
Get far better answers from today's 'thinking' AIs by handing them problems the way they actually solve them.

You get a clear, hype-free picture of how today's reasoning models—like OpenAI's o-series and DeepSeek R1—break a problem into intermediate chain-of-thought steps before answering, and why that differs from both standard chatbots and human thinking.
The answer lands in your inbox with the confidence of a closing argument. A reasoning model has recommended you cut the underperforming product line, and the trace looks airtight: revenue down three quarters running, margin below the portfolio average, a competitor exiting the same segment.
For anyone who wants far better answers from today's 'thinking' AIs and is ready to hand them problems the way those models solve them.
You face two doors. Behind one is a fast standard model that answers in a second or two—and you learn to choose the right door before you type.
You hand a reasoning model a real problem—build an internal analytics dashboard or buy one—framed well, with a clear goal, three constraints, the budget, and the timeline.
You ask a reasoning model whether to shift half your paid-search budget into paid social, and the logic comes back tidy. You learn why that first answer is only the start.
You have the moves. Each was drilled in isolation, on small problems, so the mechanics stayed visible—now you fit them to the shape of a real problem.
Pick five tasks you handed to AI last week. For each, ask: how many dependent steps did the correct answer need—one, or several? Could you check the working if the model showed it, or only judge the final tone? And if it were wrong and you acted on it, what would it cost?
You're deciding whether to consolidate three regional shipping vendors into one. You have per-region volumes, current rates, a proposed blended rate, a one-time migration cost, and the switching risk if the new vendor underperforms in a region. Asked "should we consolidate?", a standard model returns a fluent paragraph of pros and cons.
Do this with real tasks, not hypotheticals. First, list 8–10 tasks you actually hand an AI in a normal week—be specific: "summarize a meeting transcript," not "writing." Then score each on the three criteria, using the table.

EPUB, PDF, and HTML are included so the book can work on an e-reader, as a designed copy, or as a searchable desk reference.
For e-readers and reading apps.
The designed edition with diagrams and layouts intact.
Searchable, copy-pasteable, and practical as a reference.
Yes. You get the complete edition, including the chapter sequence and internal materials described on this page.
EPUB, PDF, and HTML are included so you can read on an e-reader, keep a designed copy, or use the searchable browser version.
Because this is an instant digital download, broad change-of-mind refunds are not offered after the files have been accessed. Refund requests are reviewed within 7 days for duplicate purchases, accidental purchases before access, access failures we cannot fix, wrong files, corrupted files, or pages that materially misdescribe the book.