UX for AI: A Framework for Designing AI-Driven Products 1st Edition

Greg's latest book admits that AI and ML will never be infalliable, and most of all takes a user-centric approach to helping us determine what the right solution is, or even if our assumptions are what is needed for the situation, or problem.We are currently in an ocean of hype over AI, and most talks, articles, blog posts, and even books are still navel-gazing, thrilled that they can get the technology to work at all. In this book Greg gives us specifics, and very often from his own point of view actually building successful products. You can come away from this with not just excitement, but tactics, methods, and principles to build products, design systems, and teams around designing for AI experiences.The principles are maybe the best part of this. Unlike a lot of the best detailed design demos I have seen, Greg gives us several, often-contradictory, solutions in a row, and explains why each took that approach, in ways that you can take and figure out how to apply yourself. And sometimes when not to apply AI, with excellent explanations of traditional algebraic estimation and statistical modeling that can be your baseline, and input.And as usual with his books, it is eminently readable despite being chock full of details, and even sometimes charts, tables, math exercises you are supposed to do. Not just good as a reference, aide, or textbook, but something you can sit and read straight thru to absorb it all yourself.

I hoped to learn a lot more about negative ai and vibe coding.