Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Summary
What happens when you cross an eager librarian, a happy puppy, and 800 UX experts? You get the Rosenbot—Rosenfeld's new GPT-4 level chatbot, trained on our books and hundreds of hours of conference and community call recordings. What went into creating the Rosenbot? Lou is joined by SimplyPut's Peter van Dijck, an old friend from the IA community and the chief architect of the Rosenbot. If you're beginning your journey into developing generative AI products, you'll want to join Lou and Peter to learn from their lessons, ask questions, and share your own thoughts on AI's role in making curated content more useful and impactful.
Key Insights
-
•
The Rosen bot uses curated, high-quality content from Rosenfeld Media to avoid common pitfalls of enterprise chatbots operating on messy internal data.
-
•
Significant project resources, around 30-50%, must be devoted to evaluation combining user tests, expert reviews, and repeatable automated metrics.
-
•
The chatbot intentionally avoids summarizing entire books to prevent cannibalizing book sales, instead acting as an entry point to authors’ original work.
-
•
Users and researchers often don’t know how they will use AI tools initially; the use cases evolve through interaction with the technology.
-
•
Building AI conversational agents requires embedding follow-up questions and memory simulation into the interaction design beyond a basic large language model.
-
•
Semantic search and topic analytics behind the scenes enable insights about conversation content trends and authors' influence in real time.
-
•
Balancing fresh, current content with older foundational material is challenging since methodologies and societal norms continually evolve.
-
•
There is a tension between jumping in to build and learn quickly versus cautious, deliberate product development; both parties in the talk appreciate different approaches.
-
•
Interactive UI elements like expandable answers and filters for broadening or narrowing responses are planned to enhance the conversational interface.
-
•
The Rosen bot acts as a creative companion and research assistant, helping accelerate idea exploration and uncover relevant historic knowledge efficiently.
Notable Quotes
"If you don’t jump in and learn, you’ll spend your time reading stuff on it and not really understand the tech."
"People forget the expertise every seven years and have to learn everything again—this bot helps make that expertise accessible."
"The content behind this bot is curated and high quality, unlike the typical confusing, outdated information in corporate repositories."
"We devote 30 to 50 percent of the project time just on evaluation with real users and experts to ensure quality and safety."
"The bot doesn’t summarize books because we’re a publisher and don’t want to cannibalize book sales—it points users to the original sources."
"We’re building in the attribution of ideas to authors and speakers, emphasizing the humans behind the expertise."
"Chatbots aren’t just the language model—they have structure around intent classification, safety checks, and session memory simulation."
"Sometimes you have to build stuff and learn from it rather than wait for the perfect moment or tools."
"AI in design can act as a creative companion, helping explore ideas and analyze past research more efficiently."
"The product is imperfect, probably about 60 percent there, but if we get to 80 percent it will be a compelling tool for UX content."
Or choose a question:
More Videos
"We have over 140,000 IBMers who’ve completed design thinking online training."
Doug PowellClosing Keynote: Design at Scale
November 8, 2018
"Sometimes with kids, you just have to get artifactual data or creative outputs because they can’t always articulate."
Mila Kuznetsova Lucy DentonHow Lessons Learned from Our Youngest Users Can Help Us Evolve our Practices
March 9, 2022
"If we’re really centering it on people and experiences, consider life before place, and place before technology."
Sarah GallimoreInspire Progress with Artifacts from the Future
November 18, 2022
"Stakeholders start demanding better digital experiences at work because they expect the same quality they have at home."
Lada Gorlenko Sharbani Dhar Sébastien Malo Rob Mitzel Ivana Ng Michal Anne RogondinoTheme 1: Discussion
January 8, 2024
"It is our job to lead and transform with empathy and heart because there’s fear in everyone."
Alnie FigueroaThe Future of Design Operations: Transforming Our Craft
September 10, 2025
"When executives start questioning your research details, that’s a good sign they’re engaged and trusting the process."
Landon BarnesAre My Research Findings Actually Meaningful?
March 10, 2022
"When you’re talking, it’s easier to learn something new, but if you’re shy and don’t talk, you don’t learn anything."
Emily EagleCan't Rewind: Radio and Retail
June 3, 2019
"We neglected our power users during the responsive, one-size-fits-all strategy, and it really hurt us."
Malini RaoLessons Learned from a 4-year Product Re-platforming Journey
June 9, 2021
"Project management was focused on outputs, assuming the correct feature was already defined."
Asia HoePartnering with Product: A Journey from Junior to Senior Design
November 29, 2023
