

Free Lesson
Designing for Model Failure: UX Patterns That Save You
30 min
Oct 9, 2026 9:00 AM
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What you'll learn
Accept that every AI feature fails sometimes
Design for failure up front instead of patching embarrassments.
How to design a fallback that doesn't feel like a dead end
Graceful degradation patterns for when the model gets it wrong.
Real examples of products that get this right and wrong
Practical, not just conceptual.
Why this topic matters
Every AI feature fails sometimes, and most products handle that failure badly, with no fallback beyond a spinner or an error message. This session covers UX patterns that turn model failure into a non-event for the user.
You'll learn from

Dr. Aki Wijesundara
AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana
AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
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