Design AI-Powered Products
Learn where AI belongs in a product, choose the right interface for it, and design for wrong or uncertain results. Follow one example product from a feature idea to a testable prototype and a trust checklist.
UX Consultant and Digital Strategist
Paul Boag is a leader in conversion optimisation, digital strategy and user experience design. He has been working with diverse organisations such as The European Commission, PUMA and Doctors Without Borders for over 25 years. Through consultancy and training, he helps organisations better connect with todayβs digital consumers.
Paul is also a well-respected figure in the digital sector. Author of six books, including Click, Digital Adaptation and User Experience Revolution. Finally, he is a prolific writer for numerous publications, including his blog, and regularly speaks internationally.

Prototype experiences people can trust
Adding a chatbot is rarely enough to make a product more useful. In this workshop, take one example product from the question of where AI belongs to a testable feature prototype. Assess which tasks suit AI, match capabilities to product friction, and choose an interface that fits the work. This workshop also examines the context and guardrails behind the interface and how to test whether people can trust and recover from the feature when it goes wrong.
What You Will Master
- Decide whether a product task benefits from AI and match real friction to an AI capability.
- Choose between inline tools, chat, agents, and copilots based on the task.
- Design citations, confidence cues, correction paths, and permission checkpoints.
- Understand the context, guardrails, model, and governance behind an AI interface.
- Prototype AI behavior with a system prompt before building production code.
- Test trust and recovery as well as task completion.
- Leave with a prototype and a checklist for a trustworthy AI feature.
Who is this for?
For product designers and front-end developers who have been asked to add AI features to a product.
Replay coming soon.
Learn when AI is right for your product
Learn where AI belongs in a product, choose the right interface for it, and design for wrong or uncertain results. Follow one example product from a feature idea to a testable prototype and a trust checklist.
Warning: High intensity learning environment.
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A Full Day of Mastery.
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