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 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.
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.
Get In Touch
Contact the authors
Questions, speaking inquiries, or interested in bringing AI Co-Thinking to your organization? We'd love to hear from you.
authors@aicothinking.com