UXDX · New York · Oct 05, 2026
AI Evals Sandbox Workshop
Date
Oct 05, 2026
14:00 - 16:00
Venue
Spectrum
120 East 23rd Street, New York, NY 10010, USA
Format
In-Person
America/New_York
From
Register
Where product, design and engineering people meet to learn from real work.
UXDX New York kicks off with a highly specialized, hands-on workshop at Spectrum from 2:00-4:00 pm. In “Measure What Your AI Really Knows About Your Design System,” you’ll work directly with live AI evals, explore how to detect drift before it ships, and see how design-system conformance can be measured at build time. This is designed to be practical, focused and genuinely hands-on: bring your laptop and come ready to work. Later in the day, UXDX New York continues at Datadog with an evening programme exploring “Making and Building with AI: What Comes Next”, followed by rooftop drinks and networking.
Expect real case studies, candid lessons and a room of peers working through similar product-delivery challenges.
Hosted by
Ryan Leffel
Ambassador
Agenda
Mon5 Oct
Your design system is a contract. But when AI runs at design time, that contract breaks silently. AI invents 7 in 10 design decisions when conformance isn't measurable. In this two-hour sandbox, we'll show you how to detect drift before it ships, run live evals on your own design system, and get a roadmap for proving conformance at scale.
Takeaways:
- AI drift is invisible without instrumentation. Learn what to measure and why your eyeballs aren't enough.
- Design system governance lives where the compiler checks it. See how to shift conformance from a design review problem to a build-time problem.
- Conformance compounds. Higher conformance in round one means fewer invented patterns in round two, and each round pays down technical debt.
Your design system is a contract. But when AI runs at design time, that contract breaks silently. AI invents 7 in 10 design decisions when conformance isn't measurable. In this two-hour sandbox, we'll show you how to detect drift before it ships, run live evals on your own design system, and get a roadmap for proving conformance at scale.
Takeaways:
- AI drift is invisible without instrumentation. Learn what to measure and why your eyeballs aren't enough.
- Design system governance lives where the compiler checks it. See how to shift conformance from a design review problem to a build-time problem.
- Conformance compounds. Higher conformance in round one means fewer invented patterns in round two, and each round pays down technical debt.
Spectrum
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