Designing Trustworthy AI Experiences
Jason Cranford Teague
Vibe, Trust, & The Assumption Machine
Vibe, Trust, & The Assumption Machine
AI features rarely fail because they don't work. They fail because people don't trust them.
An AI model isn't an oracle, and it isn't a decision-maker. AI is a sophisticated assumption-making machine — it fills the gaps in what you tell it with confident guesses. That single fact changes everything about designing with it. You're no longer designing a screen for a user. You're designing a relationship between a human and a collaborator that improvises.
If you've been building products for a while, you already have a process that works. AI changes the material that process was built for. Your instincts still hold. Your tools need to catch up.
This course is where you build them.
Six weeks. One real project. A trust lens on every phase.
Each week pairs a Monday lecture with a Thursday discussion where you present your work and get feedback from me and your peers.
The principles taught are technology-agnostic. They hold across conversational, generative, predictive, and embedded AI — and they'll still hold when the tool landscape shifts next quarter.
What you’ll learn
Feeling-First Design for the AI Age
The most transferable skill in the course is the setup: introduce yourself to the machine, define the human actor, write the brief.
Get the front of a project right and everything downstream gets easier.
You'll leave with a portfolio-ready prototype built this way.
Turn a feeling brief and an actor's mental model into a reusable prompt — so AI-assisted work feels inevitable to real people .
AI-assisted work feels inevitable to real users instead of generically "resolved."
Evaluate any AI experience across five dimensions—Safety, Efficacy, Accountability, Transparency, and Agency—with a human-first framework.
Start projects with a human-first framework nobody else has.
Set purpose, boundaries, and guardrails so the AI stays a collaborator, not a pilot — no matter which technology is under the hood.
Build accountability into a product before it ships instead of discovering the gap after someone's been harmed.
Use AI's speed to find simplicity instead of accumulating polished mediocrity.
Learn directly from Jason
Jason Cranford Teague
Jason Cranford Teague is a creative strategist, designer, educator, and author
Who this course is for
Designers, product managers, and engineers who need real AI fluency this year — and don't want their work going generic.
Product and design leaders whose teams are shipping AI features users don't trust.
Consultants and career-changers who want a defensible specialty as routine production work gets automated.
What's included
Live sessions
Learn directly from Jason Cranford Teague in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
A portfolio-ready prototype
One real AI feature, taken from blank page to a finished thing you built, audited, and can defend in a room.
A Well-Tempered Vibe Design Prompt
Your reusable instrument for directing an AI collaborator, carrying your actor, your feeling, and your boundaries into every request.
A Trust Audit scorecard
A five-dimension evaluation you can run on any AI feature, yours or your team's, long after the course ends.
A repeatable process
The 5Ds process with a trust lens, so your next AI project starts from a framework instead of a blank page.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
12 live sessions • 16 lessons • 22 projects
Week 1
Discover Phase: AI as Research Amplifier and Bias Detector
Aug
24
Researching with the Assumption-Making Machine
Aug
28
Discussion & Presentation
Week 2
Define Phase: The Alien Collaborator
Aug
31
Design Thinking with AI
Sep
3
Discussion & Presentation
Schedule
Live sessions
2 hrs / week
Class Discussions
Mon, Aug 24
2:00 PM—3:00 PM (UTC)
Fri, Aug 28
2:00 PM—3:00 PM (UTC)
Mon, Aug 31
2:00 PM—3:00 PM (UTC)
Projects
1-3 hrs / week
Async content
2 hrs / week
Rad, Watch, & Comment
Frequently asked questions
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