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About This Textbook

Authors

Chris Duchscher — Domain Expert & Co-Author

Chris is the founder of Positive Altitude, a precision drone services company based in the Twin Cities, Minnesota. With a background in film and television production and a passion for emerging technology, Chris brings hands-on operational expertise in multispectral drone imaging for turf analytics. He flies DJI Mavic 3 Multispectral missions for golf courses across the Midwest and is exploring partnership models with SGL Golf to scale turf analytics services nationally.

Daniel Yarmoluk — AI Systems Architect & Co-Author

Daniel is the creator of the Cognify Framework, an AI-powered methodology for building knowledge systems and decision architectures. He teaches Digital Transformation with AI at the University of St. Thomas and has built over 40 AI-powered knowledge bases across industries. Daniel brings the AI integration, knowledge graph architecture, and textbook methodology that structures Chris's operational expertise into a publishable, searchable intelligence asset.

Methodology

This textbook follows the Intelligent Textbook methodology developed by Dan McCreary, which structures educational content around:

  • Learning graphs — 200+ concepts with explicit dependency relationships
  • Bloom's Taxonomy — progressive learning objectives from Remember through Create
  • MicroSims — interactive simulations for hands-on learning
  • Knowledge-first design — concepts organized by prerequisite chains, not arbitrary chapter order

How to Use This Book

  1. Linear reading — Chapters build on each other. Start at Chapter 1.
  2. Reference lookup — Use the Glossary and search for specific terms.
  3. Hands-on practice — Each chapter includes practical exercises and MicroSims.
  4. Business planning — Chapters 12-16 provide strategic frameworks for building a turf analytics practice.

Technology

Built with MkDocs Material, deployed on GitHub Pages, and structured as an AI-readable knowledge graph.