About this Session
The Masterclass will be updated with the latest data, findings and technologies by September. The following description is therefore preliminary, and you can expect an 100% up-to-date course when you attend.
AI doesn’t have to be slow, verbose and unreliable. We can shape AI experiences way beyond a chat — and guide users to better prompts and results without typing. This course helps with just that.
You’ll learn actionable design patterns for AI, real-life examples and AI research, how to lead conversations with engineers and PMs — and how to design realistic and feasible AI experiences that users trust, love and use.
We’ll explore how we can help users find answers and get work done better and faster — with better scoping, style lenses, clustering, recommendations, feedback loop and plenty of other interaction patterns.
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In the workshop, we’ll cover:
- State of AI in 2025/2026: how people use AI products, with main slowdowns and blockers,
- Frequent challenges of AI products, e.g. context awareness, capabilities awareness, discoverability, chatbot UX,
- How to help users articulate intent and navigate AI output faster and more precisely, with style lenses, daemons, temperature knobs etc.,
- How to turn AI’s static output in a dynamic and proactive UI,
- How to design AI canvases and conversations and support users in navigation between both within the same UI,
- How to use clustering, tabs, dynamic views to help users explore data from various perspectives,
- How to design for agentic UX, and how to support people in complex flows and tasks,
- How to consider accessibility and sustainability in AI interactions,
- How to help users develop trust and confidence for AI interfaces.
We’ll be starting off by exploring things we’ve learned about AI so far, practical design patterns and plenty of practical examples of AI products — successful and not. Then, for a given task, we’ll be breaking into groups and designing (and reviewing) AI experiences on paper.
Participants will leave the workshop with a toolbox of practical techniques and design patterns to apply to their current or upcoming projects right away. Most importantly, they will learn how to use AI as a new material, its constraints and limitations, product challenges and how to apply design patterns to make the most out of AI-enhanced products.
Who is this workshop for?
This workshop is for product designers who’d love to learn about to design interfaces that let users make the most out of your AI systems. I’ve been running this workshop with dozens of teams, both remote and in-person, and as a part of the ongoing workshops online and within the European Parliament. I’ve been also running it with small and large organisations, and have a number of upcoming engagements with larger companies in the upcoming months.
Key takeaways:
- Practical design patterns from various AI products and interfaces that will give participants actionable takeaways and applicable solutions to keep in mind,
- Better understanding of how to approach AI projects, things to keep in mind and things to be aware of when designing AI experiences to prevent risks, bottlenecks and technical challenges down the line,
- Participants will get more comfortable and more confident in how to approach and design AI features
