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Managing AI

About the Book

A comprehensive guide to effectively implementing and managing AI in real-world applications

Managing AI: A Practical Guide to Applying Artificial Intelligence by Scott Falconer

Managing AI

A Practical Guide to Applying Artificial Intelligence

By Scott Falconer

In a world where AI tools are becoming ubiquitous, this book offers practical guidance on how to effectively manage and implement AI in your organization or workflow.

Uniquely co-created with AI, this book provides insights from both human expertise and machine intelligence, demonstrating the power of Shared Intelligence.

About the Author

Scott Falconer

Scott Falconer

Scott Falconer is a technology leader, writer, and product strategist with a passion for making artificial intelligence practical, approachable, and impactful. With a background in cognitive science and a career spent building digital experiences and leading cross-functional teams, Scott brings a human-centered lens to emerging technologies.

He is the author of Managing AI: A Practical Guide to Applying Artificial Intelligence, a hands-on field guide for professionals navigating the AI transformation. The book was co-created in collaboration with AI tools, offering a real-world case study in human-AI partnership. Scott's work blends thoughtful insight with practical frameworks, helping teams embrace AI not as a threat, but as a teammate.

Scott currently leads innovation initiatives at the intersection of AI, data systems, and collaborative workflows. He believes the future belongs to those who can manage ambiguity, foster shared memory, and harness intelligent tools with curiosity and care.

When he's not writing or building things with AI, you can find him running trails, tinkering with creative side projects, or being outsmarted by his kids.

Table of Contents

Preface

Introduction

Part 1: Understanding Your AI Collaborator

  • Chapter 1: Why Now? The AI Boom and the Unexpected Wave
  • Chapter 2: The AI That Thinks (Almost) Like Us
  • Chapter 3: How AI Learns and Develops: Schooling, Feedback, and Unexpected Skills
  • Chapter 4: Inside the AI Mind: Meaning, Focus, and Memory

Part 2: Communicating and Interacting Effectively

  • Chapter 5: Navigating the Nuances: Ambiguity and the Art of Prompting
  • Chapter 6: Advanced Interaction: Thinking Step-by-Step and Accessing External Knowledge

Part 3: Putting AI to Work Strategically

  • Chapter 7: AI in Action: Real-World Use Cases and Choosing the Right Tools
  • Chapter 8: Unleashing Autonomy: Understanding and Managing AI Agents

Part 4: Leading and Managing in the Age of AI

  • Chapter 9: The Human Arbitrator: Managing AI Teams and Ensuring Alignment
  • Chapter 10: Responsible AI in Practice: Trust, Transparency, and Keeping Humans in the Loop
  • Chapter 11: Leading the Transformation: Navigating the Human Side of AI

Part 5: Reflecting and Looking Ahead

  • Chapter 12: Mirrors and Machines: How AI Thinks Compared to Humans
  • Chapter 13: What's Next? Embracing the Unexpected Paths Ahead

Appendices

  • Appendix: Case Study - Writing This Book with AI
  • Appendix: Comprehensive Implementation Guide
  • Appendix: Hands-On Experiments: How to "Feel" the AI (by Poking Its Limits)
  • Appendix: Curated AI Tools to Explore (Early 2025)
  • Appendix: Glossary