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UX for AI
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
Forbes estimates that 85% of AI projects fail to deliver real business outcomes. The common thread in those failures? Teams answered the wrong question. Here's the AI-Question Framework, a tool for driving AI value through picking the right question to help your team avoid the 85% AI death-trap. (By Núria Badia Comas, Guest Author)
AI Snowflake: Stop Asking the Wrong AI Question
One of the most common ways projects go sideways is by asking a question that AI cannot answer—or worse, one that doesn’t actually deliver ROI.(AI Snowflakes: short, focused UX for AI insights. Quick provocations designed to spark thinking and sharpen strategy, in under a minute.)
Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
AI-first UX isn’t about pixel-perfect mockups — it’s about whether your product sinks or sails. Traditional 3-in-a-box Figma wireframes are the Titanic: they doom teams to Telephone Pictionary the moment AI behavior springs a leak. This guide shows UX designers how to roll the Snowball instead — a customer-centered, vibe-coded process that delivers working code prototypes from day one, shipping products customers actually want to buy.
Escape from the Figma Titanic – Part 3:Magic RAG Registry
In Part 2, I showed you how to build your first Magic RAG files—structured documents that let you feed precise, just-in-time UX content to your AI Agents and LLM-driven applications. In this installment, we take your Magic RAG from amateur to professional by introducing a concept of a simple registry. It's like programming, but with words. It's fun, accessible, and UX/PM-friendly.
Escape from the Figma Titanic: Part 2 -- UXer’s Guide to Magic RAG
RAG (Retrieval-Augmented Generation) is a method for providing just-in-time content, enabling LLMs and AI Agents to answer users' questions and perform autonomous tasks. Recent advances in RAG make it a perfect Magic Carpet for ambitious user-centered UXers seeking to escape the sinking ship of pixel-pushing irrelevance. This article guides you through the process of creating RAG files step by step, so you can connect with your Data Scientists and start adding superior UX value today.
