Introduction -- How to Use This Book -- Part 1--Framing the Problem -- Chapter 1 Case Study: How to Completely F*ck Up Your AI Project -- A Boiling Pot of Spaghetti -- Fail #1: Try to Replace a Trained Expert with AI -- Fail #2: Forget About Cost vs. Benefit -- Fail #3: No ML Training Data? No Problem! -- Fail #4: It Makes No Difference What Question Your AI Model Is Answering -- Fail #5: Don't Worry About User Research--You Have an SME! -- Final Thoughts -- Reference -- Chapter 2 The Importance of Picking the Right Use Case -- Presuming That AI Will Be Telling Experts How to Do Their Job Is a Red Flag -- Ask a Better Question -- Reference -- Chapter 3 Storyboarding for AI Projects -- Why Bother with a Storyboard? -- How to Create a Storyboard -- Establishing Shot -- Things -- People -- Faces -- Transitions -- Storyboard Conclusion -- Storyboarding for AI -- Final Thoughts -- Design Exercise: Create Your Own Storyboard -- Storyboarding Exercise Example: Death Clock -- References -- Chapter 4 Digital Twin--Digital Representation of the Physical Components of Your System -- Digital Twin of a Wind Turbine Motor -- The Digital Twin Is an Essential Modeling Exercise for Designing AI-Driven Products -- How to Build a Digital Twin: An Example -- Wait, There's More! -- Design Exercise: Create Your Own Digital Twin -- Reflect -- Design Exercise Example: Life Clock Digital Twin -- Chapter 5 Value Matrix--AI Accuracy Is Bullshit. Here's What UX Must Do About It -- The Big Secret -- Confusion Matrix: How Can Accurate AI Be Wrong? -- Value Matrix: The AI Tool for the Real World -- Training AI on Real-Life Outcomes to "Think" Like a Human -- One More Example -- Final Thoughts: The Importance of Human Cost/Benefit -- Design Exercise: Create Your Own Value Matrix -- Design Exercise Example: Life Clock Value Matrix -- References -- Part 2--AI Design Patterns -- Chapter 6 Case Study: What Made Sumo Copilot Successful? -- Strong Use Case -- Clear Vision -- Dedicated Full-Screen UI -- AI-Driven Autocomplete -- Next-Steps Suggestions -- Final Words -- References -- Chapter 7 UX Best Practices for SaaS Copilot Design -- The More Important the Task, the More Real Estate Is Required -- Side Panel -- Large Overlay -- Full Page -- Contents -- SaaS Copilot Is Stateful -- Specialized Fine-Tuned ChatGPT Model -- Plug-Ins: Integrated Continuous Learning About Your Specific System -- The IA of the AI Is Straightforward, Focused on Chat -- Promptbooks: No Need to Twist into Pretzels to Write Prompts -- Final Thoughts -- Design Exercise: Create Your Own Mobile Copilot -- Design Exercise Example: Life Clock Copilot -- References -- Chapter 8 Reporting--One of the Most Important Copilot Use Cases -- Zoom AI Companion -- Meeting Summary -- Answer Questions About the Meeting -- Set It and Forget It -- UI Modality Switch -- Microsoft Security Copilot -- Executive Summary: A General Report -- Pinboard: A Specialized Report Focused Only on Selected Key Details -- Info for Report: Ignore Automatically vs. Pick Manually? -- Security and Privacy -- Design Exercise: Create Your Own Copilot Report -- Design Exercise Example: Life Clock Copilot Report -- Daily Report -- Weekly Report -- Chapter 9 LLM Design Patterns -- Restating -- Auto-Complete -- Talk-Back -- Initial Suggestions -- Next Steps -- Regen Tweaks -- Guardrails -- Design Exercise: Try Out the LLM Patterns -- Design Exercise Example: "Life Copilot Plus" -- Chapter 10 Search UX Revolution: LLM AI in Search UIs -- The Current State of Search -- Google Search -- Amazon Search -- The "Mysteries That Are Not Scary" Problem -- Enter LLMs -- Design Exercise: Design Your Own LLM Search UI -- Design Exercise Example: Life Copilot LLM Search -- Chapter 11 AI-Search Part 2: "Eye Meat" and DOI Sort Algorithms -- What Are Dynamic Dashboards? -- Beware of Bias in AI Recommendations -- DOI: Degree of Interest/Sort Algorithms -- Design Exercise: Create Your Own Dynamic Dashboards and Sort UI -- References -- Chapter 12 Modern Information Architecture for AI-First Applications -- Design Pattern du Jour: The Canvas -- Is Information Architecture Dead? -- Amazon.com: Conventional Approach -- "AI-Minus"? Homepage -- Conventional Search Results Page -- AI-Plus Item Detail Page -- Conventional Maintenance Pages -- AI-First Amazon.com Redesign -- AI-First Analysis Overview Page -- AI-First Category Analysis Pages -- AI-First LLM Search -- AI-First Item Detail -- AI-First Maintenance Pages -- Long Live Information Architecture! -- Chapter 13 Forecasting with Line Graphs -- Linear Regression -- R-Squared -- R vs. R-Squared -- Forecasting with AI -- Nonlinear Regression -- Seasonality -- Contents -- Forecasting an Aggregate Variable -- Final Words -- Design Exercise: Design Your Own Forecasting UI -- Design Exercise Example: Life Clock Forecasting -- References -- Chapter 14 Designing for Anomaly Detection -- Why Is Detecting Anomalies Important? -- Four Main Anomaly Types -- Point Anomaly -- Change Point Anomaly -- Contextual Anomaly -- Curve Shape Anomalies -- Design Exercise Example: Life Clock Anomaly Detection UI -- References -- Getting Ready for AI-pocalypse: Shorthand UX Design Notation as AI Prompt -- Shorthand UX Design Notation -- Shorthand Notation as AI Prompt to Go Directly to Working Code -- What Is Human Work? -- Chapter 15 UX for Agentic AI -- What Are AI Agents? -- How Do AI Agents Work? -- Use Case: CloudWatch Investigation with AI Agents -- Final Thoughts -- References -- Part 3--Research for AI Projects -- Chapter 16 Case Study: MUSE/Disciplined Brainstorming -- Design Idea #1 -- Design Idea #2 -- Design Idea #3 -- Design Idea #4 -- Design Idea #5 -- But Wait, Did You Catch That? -- Design Exercise: Create Your Novel Designs Using Bookending -- Design Exercise Example: Novel Design Ideas for Life Clock -- References -- Chapter 17 The New Normal: AI-Inclusive User-Centered Design Process -- In the Beginning ... -- The Monkey or the Pedestal? -- A New Way of User-Centered Thinking -- What the Heck Is a Spike? -- What Is the Role of Data? -- Where Is the Customer in All This? -- Why Is This Change Necessary? -- How Does This Affect the Role of UX? -- Does This Mean I Have to Learn About AI So That I Can Ask My Data Science Teammates Good Questions? -- Final Handoff to Dev -- Many More Changes to Come -- Reference -- Chapter 18 AI and UX Research -- UX Techniques That Will Likely See Full Automation -- Routine Usability Studies -- Routine NPS Studies and Surveys -- Collecting and Organizing the Research Data -- Triangulation of Quantitative and Qualitative Insights -- UX Techniques That Will Be Radically Augmented -- Competitive Analysis -- Identification of Novel Use Cases -- RITE Studies -- UX Techniques That Will Become Increasingly Valuable -- Core Skills -- Workshop Facilitation -- Formative Research, Field Studies, Ethnography, and Direct Observation -- Vision Prototyping -- Augmenting the Executive Strategy -- AI Bullshit -- AI Strategic Analysis Tools That Replace Humans in Coming Up with Novel Ideas and Business Use Cases -- AI Heuristics Analysis Replacing User Research and Design -- AI Acting as "Synthetic Users" for the Purposes of Usability Research -- Build Your Persona Using AI -- Final Words -- References -- Contents -- Chapter 19 RITE, the Cornerstone of Your AI Research -- RITE Study vs. Usability Test -- #1: RITE Studies Form the Core of the Design Process. Usability Tests Are Often Treated as QA -- #2: RITE Studies Demand the Simplest Appropriate Prototypes That Change Rapidly. Usability Tests Often Mean Fancy Rigid Prototypes -- #3: RITE Studies Produce Solutions. Usability Tests Produce Reports -- A Fringe Benefit of RITE Studies -- How to Conduct a RITE Study -- A Few More RITE Rounds -- The RITE Design Evolution -- Dear Future: AI-Assisted RITE Methodology -- Design Exercise: Run Your Own RITE Study -- References -- Part 4--Bias and Ethics -- Chapter 20 Case Study: Asking Tough Questions Through Vision Prototyping -- References -- Chapter 21 All AI Is Biased -- What Do You Expect When You Ask for "Biologist"? -- How About "Basket.