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Paperback + Ebooks i Our paperbacks come with a free DRM-free ebook in three common formats: ePUB, Kindle (MOBI), and DAISY.

US$59.99

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US$44.99

Designing Assistant Technology

AI That Makes People Smarter

By Christopher Noessel

Published: March 2026
Paperback: 224 pages
Paperback ISBN: 978-1959029601
Ebook ISBN: 978-1959029069

When artificial intelligence is designed poorly, it diminishes people’s skills rather than enhancing them. It can even make users less capable and more dependent on AI. In Designing Assistant Technology, Christopher Noessel provides a framework for how to use AI to assist users, as well as mitigating the risks of de-skilling and overreliance on AI. 

Who Should Read This Book

This book was written with four audiences in mind: 

  • Product owners and technology strategists who want to ensure that the software they offer is doing everything it can for users and their organizations.
  • Interaction designers, user experience professionals, educators, and students who will build and inform the direct experiences with these systems.
  • Futurists and tech sector pundits who might want to understand that AI is only as dark as they let it become.
  • Everyone else because part of the responsibility of being a citizen is building literacy in the major forces at play, what biases those forces have, and what needs to be done to combat negative effects. 

Takeaways

You’ll learn to:

  • Understand the conceptual difference between an agent and an assistant.
  • Better understand your business’s challenges and how AI can help. 
  • Incorporate the book’s framework into an existing design process. 
  • De-risk how assistants are introduced to a workflow. 
  • Learn design patterns to mitigate the risks of assistants.
  • Rely on AI assistants just enough, but not too much.

 

When artificial intelligence is designed poorly, it diminishes people’s skills rather than enhancing them. It can even make users less capable and more dependent on AI. In Designing Assistant Technology, Christopher Noessel provides a framework for how to use AI to assist users, as well as mitigating the risks of de-skilling and overreliance on AI. 

Who Should Read This Book

This book was written with four audiences in mind: 

  • Product owners and technology strategists who want to ensure that the software they offer is doing everything it can for users and their organizations.
  • Interaction designers, user experience professionals, educators, and students who will build and inform the direct experiences with these systems.
  • Futurists and tech sector pundits who might want to understand that AI is only as dark as they let it become.
  • Everyone else because part of the responsibility of being a citizen is building literacy in the major forces at play, what biases those forces have, and what needs to be done to combat negative effects. 

Takeaways

You’ll learn to:

  • Understand the conceptual difference between an agent and an assistant.
  • Better understand your business’s challenges and how AI can help. 
  • Incorporate the book’s framework into an existing design process. 
  • De-risk how assistants are introduced to a workflow. 
  • Learn design patterns to mitigate the risks of assistants.
  • Rely on AI assistants just enough, but not too much.

 

Testimonials

Table of Contents

Part 1: Let’s Get Crisp on Assistants and Their Risks

Chapter 1: Google Maps as a Bejeweled Crutch
Chapter 2: Will Assistants Doom Us to “Stupidity”?
Chapter 3: What is “Assistant” Tech?

Part 2: The Ways You Can Assist

Chapter 4: The Five Universal Assists
Chapter 5: Perceive
Chapter 6: Know
Chapter 7: Plan
Chapter 8: Perform
Chapter 9: Reflect
Chapter 10: Applying the Universal Assists

Part 3: Mitigating the Risks

Chapter 11: Relying on Assistants Too Much (vs. Relying on Them Just Enough)
Chapter 12: Cognitive Forcing Functions (Horribly Named, Universally Disliked, Incredibly Useful)
Chapter 13: AI Assistance Does Not Work the Same for Everyone
Chapter 14: Assistants in an Era of General AI
Chapter 15: Help AI Help Us

Read the first chapter

This is a sample chapter from Christopher Noessel‘s book Designing Assistant Technology: AI That Makes Us Smarter. 2026, Rosenfeld Media.

Chapter One

Google Maps as a Bejeweled Crutch

I grew up in Houston, Texas. If you’re unfamiliar with the city, one of its defining features is the sheer number of roads. It sits on a gently sloping coastal prairie, to the west of a little pocket of a bay connecting it to the Gulf of Mexico, and other than the coast itself, it has no other natural boundaries. As the city expanded over the decades to its current 100-mile radius, land was readily available, and roads were easy to build. And build they did.

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FAQ

These common questions and their short answers are taken from Christopher Noessel’s book Designing Assistant Technology: AI That Makes Us Smarter (2026). You can find longer answers to each in your copy of the book, either printed or digital version.

  1. Is this about chatbots?
    Lots of ink and phosphorus has been spilled writing about those. It’s a rich field and the coverage is warranted. I even have some favorites to recommend. Erika Hall’s Conversational Design, Cathy Pearl’s Designing Voice User Design, Diana Deibel and Rebecca Evanhoe’s Conversation with Things, and Robert Moore and Raphael Arar’s Conversational UX Design come to mind. So, I don’t feel the need to add to the excellent thinking there. I do speak to chatbots throughout the book, most directly in Chapter 4, “The Five Universal Assists,” under “Know,” but I intentionally do not go into any depth about them.

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Illustrations