AI UX
Navigator
Designing with AI isn’t just new—it’s different.
Get practical tools, frameworks, and insights to lead the shift toward adaptive, ethical, and human-centered AI experiences.
AI is changing how products behave. UX must change how we design
Traditional UX wasn’t built for probabilistic systems, adaptive interfaces or trust calibration.
As AI transforms how digital products think and act, UX leaders now have an opportunity to reshape how we design—beyond rules, toward relationships, trust, and adaptive behavior.
AI UX Navigator gives you the frameworks, tools, and guidance to design intuitive, ethical, and human-centered AI experiences—while helping your teams and organization evolve.
Guided by research-backed insights and practical transformation experience, these resources bridge the gap between AI potential and effective implementation.

Unlike theoretical AI guidelines or technical documentation, AI UX Navigator bridges the implementation gap with practical frameworks drawn from real transformation experience. By addressing mindset, process, collaboration, and governance as an integrated system, these tools help UX leaders navigate the full spectrum of change—not just interface design.
AI expands the scope of the UX practice
Designing with AI reshapes how we think about user experience—not just what we create, but how we approach the work. It challenges familiar assumptions and invites new considerations:
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Experiences are shaped by probabilistic systems, not only deterministic flows
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Personalization, adaptation, and trust evolve over time—not just in isolated interactions
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Collaboration with data and engineering relies on shared language and intent
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Ethical considerations emerge earlier and require continuous attention
This is not a replacement of core UX methods—it’s an expansion. AI UX Navigator supports that expansion with practical tools for designing, researching, and collaborating in this new context.
The 4 critical shifts for leading AI UX transformation
UX isn't simply evolving—it's fundamentally shifting. Effective AI implementation requires coordinated transformation across four dimensions that together form an integrated system.
These four interdependent shifts—Strategic, Research, Design, and Collaboration—form the foundation of modern AI UX leadership.
They create momentum across teams, process, and organization. When aligned, these shifts transform isolated AI features into cohesive, adaptive experiences that build user trust while leveraging AI's full potential.

AI UX Navigator - for practitioners who are shaping the shift
What you'll find here

The AI UX guide
A structured resource to help teams navigate mindset shifts, design patterns, and organizational adaptation

Frameworks & Tools
Ready-to-use frameworks, assessments, and exercises to ground the work in daily practice

Case Studies & Insights
Examples and lessons from teams designing in AI contexts—offering perspective and nuance

Community & Resources
A place to exchange ideas, ask questions, and learn alongside others shaping this space
Join the AI UX community!
Everyone is navigating AI UX for the first time—there’s no established playbook.
That is why AI UX Navigator thrives on collective knowledge. By sharing insights, challenges, and best practices, we’re co-creating the ultimate AI UX guide for everyone.
Whether you’re looking to learn, contribute, or connect, you’re in the right place.

Contribute to the conversation
Want to contribute? Fill out this form to share your practical experience. We're focused on the “how”:
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How are you and your team designing with AI?
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What new ways of working have you implemented?
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What’s working—and what’s not?
You will be listed as author(s), and your contribution will appear on the site.
Stay connected
What you'll receive:Bi-weekly insights on emerging AI UX patternsEarly access to new frameworks and toolsInvitations to virtual discussions with practitionersOpportunities to contribute to the growing knowledge base
What teams are saying
The Four Shifts framework provided exactly the structure we needed to align our UX and AI teams around shared goals. It's transformed how we approach AI feature development.
– Director of Product Design, Enterprise Software
Finally, practical guidance that goes beyond theory. The ready-to-use templates saved us weeks of trial and error.
– UX Research Lead, Fintech Startup
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