Work with AI: Foundation

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Management number 232085428 Release Date 2026/06/18 List Price $6.90 Model Number 232085428
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Many professionals who try AI get inconsistent results, not because the technology failed, but because this is genuinely new and the mental model for operating it reliably had to be built from first principles reasoning and live application, not inherited from anything that came before.The mental model in these pages was developed through years of operationalizing AI across live credit transactions, from first client contact through underwriting, structuring, and closing. Not in theory. In production, with real capital, real decisions, and real accountability at every stage. That experience demanded first principles reasoning: strip away assumption, identify what is irreducibly true about how humans and AI work together, and build only from there. The result is an architecture that holds regardless of which tools you use or how the technology evolves.Work with AI: Foundation answers one question: what does a professional need to understand to work effectively with AI? The answer is not technical. It is a mental model — five elements, one sequence, designed to be learned once and applied indefinitely.THE FIVE ELEMENTSRole. You are the Captain. Your AI is the Copilot. This is the precise definition of an operational relationship that determines everything downstream, not a metaphor. Expertise, judgment, and accountability stay with you. Speed, scale, and unlimited computational prowess belong to the machine.Interface. The revolution is not automation. It is the interface. For the first time, professionals communicate with machines in plain human language and are understood. Your competitive edge is no longer technical skill. It is clarity of thought.Playbook. Three actions cover every professional use case: Retrieve, Generate, Interact. This is the RGI Framework. A taxonomy of work, not a catalog of tools. When you know what AI does at its core, you stop guessing and start directing.Communication. Prompting is communicating your intent clearly enough that your AI delivers what you actually need. AI capability is essentially unlimited. AI knowledge of your specific situation is essentially zero. The gap is bridged entirely by communication quality. Goal + Context + Format + Reference + Refine = Precision.Outcome. When the mental model executes correctly, speed and precision operate together. Before AI, professionals chose between these constantly. That trade-off is gone.WHO THIS BOOK IS FORWritten for anyone who needs to work with AI. Knowledge workers, regulated professionals, executives, front-line teams. If you work with language, numbers, decisions, and expertise, this book gives you the first-principles foundation to do it reliably, regardless of which tools you use or how the technology evolves.ABOUT THE AUTHORMatthew Dobson spent more than two decades in commercial lending at GE Capital and TD Bank, then served as Chief Credit Officer for an institutional lending operation. He built and operationalized AI tools across hundreds of live commercial transactions during the early years of enterprise AI. In 2017 he filed the trademark AI Credit®, one of the earliest registered applications of AI to financial services in North America.In 2025 he was selected for the inaugural Perplexity AI Business Fellowship alongside executives from the largest and most influential companies in the world. That same year he delivered AI Essentials training to thousands of licensed mortgage professionals across Canada under an enterprise contract with Dominion Lending Centres Group (TSX: DLCG), achieving a universal positive response rate to the core concepts.Every chapter traces back to a real deployment, a real training session, or a real conversation with a professional trying to make AI work.Five chapters. One mental model. Designed to hold regardless of what comes next.Be Curious. Read more

ISBN10 1069620319
ISBN13 978-1069620316
Language English
Publisher AVA Credit Inc.
Dimensions 6 x 0.1 x 9 inches
Item Weight 4 ounces
Print length 42 pages
Publication date March 6, 2026

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