GenAI for UXers: A Rosenbot Demo and Discussion
Summary
If you’re a UX practitioner or product designer, there’s a new way to learn your craft: the Rosenbot, a GPT-4 chatbot trained on Rosenfeld’s conferences, books, and more. Aside from being incredibly useful, its focused scope and unusually high degree of content quality impacted the Rosenbot’s design approach in some interesting ways. Join Rosenfeld Media founder Lou Rosenfeld and Rosenbot developer Peter van Dijck for a demo and a dive into the design decisions that drove the Rosenbot’s development.
Key Insights
-
•
Rosenverse combines 20 years of curated UX content into a searchable subscription platform.
-
•
The Rosen Bot is an AI chat bot trained specifically on Rosenfeld Media’s books and conference sessions, enabling focused, high-quality UX answers.
-
•
Books provide richer, semantically denser content for AI retrieval than unstructured conference talks, improving answer quality.
-
•
Contextual navigation via AI-suggested prompts helps users explore deeper topics related to initial queries.
-
•
Defining what constitutes a 'good' AI answer is the hardest challenge, more so than technology or training.
-
•
The AI system is a retrieval-augmented model; it doesn’t train the base LLM but provides additional curated context dynamically.
-
•
The Rosen Bot can generate multi-week training programs based on simple prompts for team learning and development.
-
•
Free and premium tiers exist; gold subscriptions grant access to premium content, discounts, and soon, ebook access.
-
•
Creating playlists with notes is a new feature to support personalized or team-based learning paths.
-
•
The platform champions inclusion, iteration, and collaboration, having worked with over 1100 diverse contributors.
Notable Quotes
"The Rosen Bot is trained on all of our books plus over a thousand recorded sessions from conferences and community talks."
"Books are semantically very rich and thus pull content much more effectively in our vector database than conference talks."
"Nobody really knows what all this AI stuff is about yet, so we’re experimenting with it ourselves."
"We want you to take all AI-generated info with a grain of salt but it gets you part of the way."
"Contextual navigation is really powerful — these AI-generated prompts help you dig deeper into a topic."
"Defining what good looks like for an AI answer is the real work, much more than engineering complexity."
"The AI doesn’t train itself; we provide context dynamically, so it enhances answers with curated data."
"The Rosen Bot can turn a simple prompt into a five-week training program for your team."
"We’ve worked with over 1100 contributors, focusing on inclusion, iteration, and collaboration."
"We want to keep our content evergreen by focusing on people skills and critical thinking, not just tools."
Or choose a question:
More Videos
"If we deeply understand outcomes and advocate for impact, we’ll be the ones making real change happen in the enterprise."
Greg PetroffSoftware as Material—A Redux
June 6, 2023
"We don’t have to restrict ourselves to playing the canary in the coal mine. We can design the harm out of our products before they’ve even taken flight."
Brendan JarvisFraming Tomorrow by Questioning Today
June 8, 2022
"Consistency is a key principle in design and in life; to achieve something you have to be consistent and disciplined."
Prerna MakanawalaAchieving Balanced Design Consistency
June 9, 2021
"Language matters — calling people 'users' reflects and reinforces the reality of reduced agency."
Tricia WangFrom Users to Shapers of AI: The Future of Research
March 25, 2024
"Pro-social gaming is about designing for positive social interactions that contribute to thriving communities."
Cheryl PlatzEmbrace Your Fun Factor: Game Development Best Practices for Product Design
January 9, 2026
"We want to deepen equity and care in how we work, who we do it with, and the output and impact it generates."
Ariel KennanTheme Two Intro
November 17, 2022
"How might we has become like a church—untouchable and sanctimonious instead of a flexible tool."
Tricia WangThe most popular design thinking strategy is BS
January 27, 2022
"Before, we never really looked holistically at decades of UX data—now we use it to be proactive and avoid duplicative studies."
Kristin WisnewskiMeasuring What Matters
October 23, 2019
"They’re not living out the Judgment of Solomon every day, where the baby can be split in half."
Scott Jensen Sarah Delaney Carmen LiuShort Take #2: UX/Product Lessons from Your Industry Peers
December 6, 2022
