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.
Building impactful AI products for design and product leaders, Part 1: The new product journey
This video is featured in the AI and UX playlist.
Summary
This talk is for product people, UX designers, researchers, and leadership preparing to work on AI products. How do we plan and build helpful and impactful AI products? What is different in this new world? Products that use AI as a core part of the experience are often very easy to prototype, but really hard to build and make actually useful and impactful. A lot of the knowledge on how to build these is locked up in foundation model companies and engineering teams in startups. Peter van Dijck, expert in both AI and IA, will provide an easy to understand framework for understanding how to think about this new world we all live in now, how to plan for effective, helpful and impactful AI products, how to think about model capabilities, AI architectures and evaluations. You will learn vocabulary and frameworks to understand what all the acronyms mean, and how to think about them.
Key Insights
-
•
AI product design is best understood through a model, context, and experience framework.
-
•
Models are stateless and require full context to be sent with each interaction.
-
•
Prototyping to explore model capabilities is critical before building full products.
-
•
Evals, automated and manual, are essential to measure model output quality and decide if it’s good enough.
-
•
Models gain enhanced abilities through post-training on specific capabilities like reasoning and conversational skills.
-
•
Synthetic data generation enables scalable training and evaluation by producing many good and bad examples.
-
•
Tool use and function calling empower AI agents to autonomously perform multi-step tasks.
-
•
Agents like Cloud Code gain product-market fit by making model reasoning and actions visible to build user trust.
-
•
UX principles remain vital in AI product development, especially when designing evals and assessing experience.
-
•
In high-risk domains, explicit risk identification and eval development are necessary, alongside clear ownership of go/no-go decisions.
Notable Quotes
"Today’s best AI products are designed by engineering first, but UX and product people have to join the party."
"Models are stateless; they take input and give output and forget everything immediately after."
"You want to trust the model, which means not overly instructing it but giving it the right context."
"Evals are the key to knowing when an AI’s output is good enough."
"Model companies post-train models on capabilities by showing them millions of good and bad examples."
"Tool use and function calling are what make agents possible, letting models call tools and reason through tasks."
"Synthetic data is exceedingly useful because you can generate it at scale for training and evals."
"The reason Cloud Code has such product market fit is because it shows what it’s doing, building trust."
"UX skills especially shine in defining realistic, user-centered evals and collaborating with experts."
"If a capability exists and is useful, it’s very likely the model will improve significantly on it over time."
Or choose a question:
More Videos
"You can’t separate the front end from the back end and you can’t separate the inside from the outside."
Jeff SussnaWhat DesignOps Can Learn From DevOps
November 6, 2017
"Your world is different. You probably have a design related title and tools, but the business we’re in is the same sense making for culture change."
Dana ChisnellThe Sensemaking Business
March 10, 2026
"Separate accessible designs are never equal, so we must design inclusively from the start to unlock all the benefits of accessibility."
Sam ProulxAccessibility: An Opportunity to Innovate
June 8, 2022
"The organization’s website structure often mirrors its internal organizational structure and decision-making."
Sheryl Cababa Alexis OhThinking in systems to address climate with Sheryl Cababa
June 12, 2024
"Speed and quality are the new competitive advantages; doing the right thing is no longer enough."
Farid SabitovAutomatization for Large Enterprise Teams
January 8, 2024
"Product managers appreciate the jobs to be done desired outcome statements because they are not overly detailed but actionable."
Joerg Beringer Thomas GeisScaling User Research with AI: Continuous Discovery of User Needs in Minutes
September 10, 2025
"Design is at the heart of everything we do at Honeywell Aerospace."
Teresa SwinglerLook, Up in the Sky! UX/UI for Aerospace
October 27, 2022
"It is impossible to survive in this industry by pushing against the current all the time; you must put yourself in positions to leverage the current."
John CutlerOxbows, Rivers, and Estuaries: How to navigate the currents of change (without burning out)
December 3, 2024
"Building a portfolio of talks, refreshed over time, lets you keep evolving and sharing your ideas in different formats."
Louis Rosenfeld Jemma Ahmed Christian Crumlish Uday Gajendar Chris GeisonCoffee with Lou #3: What Makes for a Successful UX Conference Presentation?
May 2, 2024
