Design Patterns For AI Products In 2026
Vitaly Friedman
Sr. UX Lead • LinkedIn Top Voice in UX
This course is popular
3 people enrolled last week.
How to design AI products that people actually use and trust.
❌ 30% off – "ICECREAM" (expired Apr 27)
✅ 20% off – "MUFFIN" (till May 5)
AI features are painfully unreliable and verbose. AI responses are too generic, insights are untrustworthy, hallucinations are hard to spot — and users have to ping-pong between prompts, over and over again. That's when users stop using AI features altogether. Well, let's fix that!
In this course, you’ll learn:
State of AI 2026, from limitations to capabilities
Design patterns for AI products
Context engineering and how to design for it
Agentic AI, and how to design guardrails
How to design for trust and confidence for AI
How to prioritize impactful AI features
Launching AI features, where teams fail/succeed
AI-friendly design systems, and how to set them up
100s of real-life examples and UX guidelines
No fluff, no theory — just what actually works in real products. Practical live sessions and guidelines that you can apply on day 1.
The course includes:🪴 Real case studies from real products
🔬 All video recordings, slides, resources, templates
🎯 Hands-on tasks and actionable insights
👋 Live interactive sessions and feedback
👫 Dedicated time to answer all your questions
🏅 Well-deserved certificate for your hard work
What you’ll learn
You'll learn how to design AI features that people understand, use and trust — with practical UX guidelines and tons of real-life examples.
New UX research on how people discover and use AI features, and why many AI features have poor adoption and retention rates
How people work with and around AI features, with main slowdowns, blockers, usability and (often overlooked) accessibility issues.
High interaction cost of articulation loops, context awareness, capability awareness and AI discoverability
Quiet AI vs. Visible AI, prompt strength indicator, daemons, modifiers, task builder, forced ranking, style lenses, precision knobs.
Design patterns for building trust and confidence, navigating AI output, proactive AI, presets, pre-prompts, capability awareness.
Context engineering, and how to design and build for it, along with agentic AI, and how to maintain and clean up user's context
Where AI typically lives and how to help people articulate better input, make sense of AI output and refine it to match their needs well.
How to design for agentic UX, with gradual autonomy increase, risk levels and optimization targets, depending on the task at hand
How to support decision-making and complex workflows — with guardrails, permissions, approval flows and human in the loop.
Design strategies that build confidence and clarity around AI behaviors and decisions.
How limited transparency, verification steps, consensus meters and reduced cognitive load increase retention of AI features
How to signal and label AI-generated content, and make it co-exist with human-written, curated content
How to design AI features and experiences from scratch — with AI Design Canvas, from data collection to launch to gathering feedback
How companies design and implement AI features in their products, where they fail and succeed
Why linear customer journeys often don't map well with AI features, and how we need to change our process to design AI loops instead.
How to bring AI into the product, from data collection and data cleansing to designing AI loops and user flows.
Why linear customer journeys often don't map well with AI features, and how we need to change our process to design AI loops instead.
How teams measure the quality of AI UX and how valuable and reliable AI features actually are for end users
Learn directly from Vitaly
Vitaly Friedman
20 years of experience • Senior UX Lead @ EU Parliament • Speaker • SmashingMag
Who this course is for
Product designers who want to understand the constraints of AI and how to design effective AI experiences that people trust and use.
UX Leads who want to learn how to design feasible and effective AI features that don't frustrate people but help them get their work done.
Interface designers who want to boost their AI design skills and understand what makes a truly incredible AI experience.
What's included
Live sessions
Learn directly from Vitaly Friedman 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.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
12 live sessions • 38 lessons
Week 1
What Designers Should Know About AI
Jun
2
⚡ Live Workshop
Jun
4
⚡ Live Workshop
Jun
5
🏕️ Optional: Open Hour
Week 2
UX of AI Products
Jun
9
⚡ Live Workshop
Jun
11
⚡ Live Workshop
Jun
12
🏕️ Optional: Open Hour
Free resource
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Design Patterns For AI Interfaces
Understanding AI Interfaces in 2025
The current state of AI interfaces, common challenges, and user expectations.
Guide AI Behavior and User Intent
Master techniques to shape AI output and help users articulate their goals through prompt engineering and templates.
Integrate AI Seamlessly into Products
Discover how to embed AI into your product smoothly.
Learn from Real AI Interfaces
See what works (and what doesn’t) by exploring real-world examples of AI interfaces.
Schedule
Live sessions
6 hrs / week
Includes ideation, strategic planning, designing and studying.
Tue, Jun 2
4:00 PM—6:30 PM (UTC)
Thu, Jun 4
4:00 PM—6:30 PM (UTC)
Fri, Jun 5
6:00 PM—7:00 PM (UTC)
AI Projects
4-6 hrs / week
Live sessions with collaborative and individual work on projects
Video lessons
4-6 hrs / week
Watching quality video recordings with examples, design patterns, incl. manually written English subtitles
Testimonials
A powerful new paradigm is here, and everybody is scrambling to figure out how to wield AI. It’s still early days, but one thing’s become abundantly clear: chatbot UIs are weak sauce. There’s so much potential to improve the UX of AI.
Enter Vitaly! He’s spent more time than nearly anyone else on Earth sweating the UX details of digital interfaces, and he’s going to bring his thoughtful, practical, and fun advice to this brave new world!
Brad Frost
Atomic design, Front-End EngineerVitaly has been helping designers build clarity through valuable content long before I joined the design industry, many many years ago. And this course makes no exception!
It helps you understand deeply how to properly surface AI in design, and how to make the right interaction decisions in the new era of our roles. Very educational, well-structured, and super valuable!
Ioana Teleanu
AI × Product Design LeaderIt’s one of those rare resources that cuts through the hype and gives you the practical building blocks you actually need when designing and shipping AI products.
As someone who works on AI-assisted engineering at scale, I find the way it breaks down complex ideas on designing around AI’s unpredictability not just insightful but immediately usable. It feels less like abstract theory and more like a field guide you’d want open on your desk while you’re building.
Addy Osmani
Director, Google Cloud AII’m a huge fan of Vitaly’s work for its depth, clarity and practicality, and this course is no exception. The course cuts through the hype and shows how AI can be fast, trustworthy and genuinely helpful.
Christine Vallaure
UX Designer, Founder of Moonlearning.ioSo much of expertise in one place! Vitaly has been a relentless force for good in the digital design space for years now. With this beautifully captured series, so much of his expertise is in one place. There is something for everyone here!
Ben Callahan
Design Systems Specialist, DesignerYears of research and experience by one of the most prolific members of the web community has been distilled and condensed into this course. So whether you’re a designer or a developer who frequently works with designers, you’ll find something in this course for you. Take this course; you won’t regret it.
Sara Soueidan
Web UI and Design Systems Engineer
Frequently asked questions
$995
USD