What I've been reading.
Short notes and opinions on books worth the time, updated as I finish them.
AX: The Rise of Agentic Experience
Argues that User Experience alone is no longer sufficient for AI-driven products: design now has to account for agentic behavior, not just interfaces. A useful frame for anyone designing AI-native products rather than retrofitting AI onto existing UX patterns.
Read the source →Think and Grow Rich
Distills success into 13 principles (Desire, Faith, Organized Planning, Persistence, the Master Mind, and more), built on the idea that mindset shapes outcome: success favors those who become "success-conscious," while fear, doubt, and negative influence are the real obstacles. My takeaway: the ideas are powerful, but not magic. They guide you, but the discipline, consistent effort, and positive outlook still have to be yours.
Read the source →Information Architecture, 4th Edition
Makes the case that users need multiple ways to reach the same information, and that IA decisions should be grounded in real user research and Nielsen's usability heuristics rather than guesswork. Packed with practical, real-world grounding rather than theory alone. Essential reading for anyone building complex websites or apps, and a good jumping-off point into related work like Alan Cooper's About Face.
Read the source →The Art of Leadership
Frames leadership as small, consistent wins rather than grand gestures: staying adaptable, keeping a growth mindset, and asking the right questions to set direction and avoid the "new manager death spiral." A practical, chapter-by-chapter guide to developing the instincts of a good manager, not just the title.
Read the source →AI and UX: Why Artificial Intelligence Needs User Experience
Traces AI's evolution from the Turing test through neural networks to today's recommendation engines (Netflix, Spotify, Amazon Prime), arguing that good UX, not just better models, is what makes AI systems usable and trustworthy. Also covers data privacy, AI ethics, and user-centered design principles; worth reading for anyone stepping into AI-and-UX work.
Read the source →