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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.





UX-for-AI Survival Kit I Wish I Had
A few weeks ago, I wrote in my first-ever viral ("iceberg") post: “AI is flipping UX upside down.” The response was overwhelming! 160,000+ of you clicked and lit up the comments, basically saying, “Greg – this 💯 resonates.” If you felt that post in your gut, you’re not alone. Our entire industry is experiencing a seismic shift. UX isn’t dead, but it’s being shaken to its core by AI – and we must adapt or risk going down with the ship.



UX Abides: How to Create a RAG-Centered Process that Really Pulls Your AI Product Together
“That RAG really tied the room together.” — The Big Lebowski (with apologies to The Dude) This is how UX can drag that RAG into the middle of the floor, invites everyone over, and says, “Okay, folks, let’s fix this.”



What I learned from my viral #UXforAI post (Figma is a Titanic)
Last week, I had my first-ever viral post on social media. With over 100,000 views and nearly 1,000 comments on LinkedIn, it is quickly becoming known as “the iceberg UX post." Here, I share 7 lessons I learned in the process with all of you who have made this incredible journey possible.
