Most people are using AI.
Very few are thinking with it.
There's a dividing line between people who treat AI like a vending machine — insert prompt, receive answer — and people who treat it like a thinking partner. The line isn't coding skill or knowing what "LLM" stands for. It's structured human intelligence. This book is for the second group, or for those who want to join it.
What People Are Saying
Early reader reactions
"At the end, I wasn't just thinking about AI differently, I was thinking about my own thinking differently."
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"I've been using AI for a while, but this book helped me realize I was just scratching the surface."
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"As someone still finding my footing with AI, this book turned out to be just what I needed."
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"Treating AI as a thought partner rather than a shortcut."
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"A delightfully easy, smooth read of what could otherwise feel like an intimidating subject."
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"You're listening to a thoughtful and playful conversation, rather than being hit with dense theory."
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"The five use-case vignettes are the heart of it. They are real situations told with unusual candor."
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"The nine-component Human Intelligence framework is practical without being mechanical."
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"A must read for anyone curious about how to better apply AI in their business and life."
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What This Book Is
A philosophy and method for thinking with AI
AI Co-Thinking fills the gap between sweeping transformation rhetoric and shallow tactical tips. Its thesis is counterintuitive: getting real value from generative AI is less about artificial intelligence than human intelligence — and how to bring out the best in both.
Built around nine human-intelligence components, the book shows what Co-Thinking looks like in practice through author dialogue, real AI exchanges, and seeing-is-believing vignettes. A cognitive architecture, not a recipe to follow step by step.
"If you bring your full thinking to it, AI amplifies you. If you don't, it amplifies that too."
Written for curious, persistent people who like to figure things out — leaders and professionals who have moved past basic experimentation but want a structured way in. Rigorous but readable.
Where Most People Get Stuck
Four habits that separate dabbling from Co-Thinking
"Just scratching the surface"
Almost everyone who uses AI regularly says a version of this. It's not a skill problem. It's a starting-point problem.
Tool-first vs. problem-first
A dabbler asks what a tool can do. A Co-Thinker asks what they're actually trying to figure out. That's a different first move, every time.
Assumptions before answers
AI builds fluently on whatever framing you give it, flawed or not. The habit that changes everything: surface your assumptions before you ask.
Evaluation, not acceptance
The most dangerous moment is when the output sounds right. Fluent isn't the same as accurate. Every output is a first draft, not a conclusion.
The Structure
A framework with three phases
01 — Problem Definition
Before any AI session, define the specific problem you're solving — not "figure out how to use AI," but the actual, narrow thing in front of you.
02 — Solution Design
Build the session around that problem: what data it needs, what boundaries it has, how the conversation should flow.
03 — Adoption
The real test isn't the output — it's whether the thinking behind it changes how you and your team act afterward.
The Authors
Two practitioners, not technologists.
Robert Greene
OIC Innovation
Robert Greene—founder of OIC Innovation—has spent more than thirty years helping organizations work through complex strategic challenges, as entrepreneur, executive, and consultant to businesses, innovation consortia, and universities. He architects AI+HI systems that methodically couple human intelligence and artificial intelligence to scale organizational capability, and believes that understanding the distinction between using AI and Co-Thinking with AI+HI systems is essential for executives leading AI adoption. He earned an MBA from Harvard Business School and a B.S. from Yale University.
Nathan Mauck
Professor of Finance, UMKC Bloch School
Nathan Mauck is professor of finance at the Henry W. Bloch School of Management at the University of Missouri–Kansas City, where he has received numerous teaching awards for classes covering financial management, advanced corporate finance, financial modeling, valuation and M&A, and international finance to undergraduate, graduate, and executive students. He positions himself as an AI power user, not an AI expert — a distinction he considers central to how professionals should think about AI adoption. He received his Ph.D. in finance from Florida State University and his undergraduate degree in finance from Kansas State University.
Where the book ranked
Amazon category rankings move by the hour. These are the figures as measured on September 4, 2026.
No. 1
Business SoftwareNew Releases
No. 1
Business Intelligence ToolsNew Releases
No. 7
Business SoftwareCategory
No. 10
Business Intelligence ToolsCategory
Point-in-time figures, current as of September 4, 2026. Amazon rankings shift by the hour; #1 New Release status is confirmed by Amazon's own New Releases pages for each category.
Get the Book
AI Co-Thinking is available now
Pick up your copy on Amazon today. Questions, speaking inquiries, or interested in bringing AI Co-Thinking to your organization? We'd love to hear from you.