Design human–AI work.
A hands-on workshop on how an AI Experience Architect thinks. Learn to decide what AI should do, and leave with work you can show.
Choose how you learn it.
Five sessions, built on a real problem. Pick the format that fits.
$999
per team (up to 8)
Team Cohort
Bring your team through together. Everyone practices the thinking on shared problems and leaves speaking one language.
- 5 live sessions
- Exercises on your team's real problems
- Group pricing (up to 8 seats)
- Shared workspace and recordings
Five shifts in how you design with AI.
An AI Experience Architect doesn't just add AI to an interface. They design the relationship between people, intelligent systems, business goals and responsible limits. One shift a session.
See the whole experience
From designing interfaces to designing participant-system relationships.
Frame the right opportunity
From adding AI to finding where intelligence creates meaningful value.
Architect human–AI collaboration
From designing a feature to giving people and AI intentional roles.
Design for responsible operation
From polishing the happy path to designing for uncertainty and consequence.
Prove and communicate it
From presenting screens to defending decisions, alternatives and trade-offs.
Evidence, not just credentials.
You work one real problem across the five sessions. Each session ends in a working document, and the last one is the recommendation you defend.
AI Experience Interface MapEvery participant, interface and relationship, visible and invisible.
AI Opportunity BriefWhere intelligence creates real value, and where AI isn't the answer.
Human–AI Collaboration BlueprintWho does what, the handoffs, the autonomy levels and how people step in.
Risk, Trust and Recovery Stress TestWhat happens when the AI, the data or the person is wrong.
Evaluation planHow you'll know it works, with measures set up front.
Architectural recommendationThe decision, the alternatives and the trade-offs, ready to defend.
Bring a real problem.
Five sessions to learn the thinking and build the evidence, from the interface map to professional AI case studies.