Vitaly Friedman, UX Courses

Design Patterns For AI Interfaces

Vitaly Friedman

Co-founder of Smashing Magazine | Senior UX lead with 19 years of experience

How people perceive AI, where we currently stand and real-life examples of products that excel at AI interaction design.

State of AI in 2024

Trust and confidence issues, AI fatigue, pain points and slowdowns in AI interfaces, what causes abandonment.

Red flags in AI interfaces

Emerging design patterns such as temperature knobs, daemons, branches, scoping, style lenses, prompt presets etc.

New design patterns for better AI experiences

Learn to design AI products that are intuitive and valuable. Build your AI project portfolio, get certified as an expert in UX for AI

AI Design Leader |  x-Uber/Google/Amazon

Uber

Google

Amazon

Stanford University

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

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Cohort 11

Product teams are shipping AI features at pace. Designers are expected to deliver intuitive experiences users trust and that drive business goals—but most design training optimized for deterministic interfaces, not probabilistic systems.The gap shows up in three ways: mindset (adopting new processes, approaches, and tools), systems thinking (understanding how AI behavior, data, and interface work together as a system), and probabilistic frameworks (translating existing skills into interfaces that work for evolving user mental models).MXDAI is a career accelerator that addresses these gaps directly. Through project-based learning, 1-1 coaching, and proven frameworks, you'll develop capabilities that translate immediately to your work—whether you're designing conversational flows or agentic systems.For individuals: Build portfolio-ready skills through hands-on prototyping and a capstone project. For teams: Customize cohorts to your products and address fragmented workflows, trust gaps, and cross-functional silos. Teams develop shared language and frameworks that standardize practices.150+ students graduated since March 2025 with 5-star ratings. [Revised with fresh content for 2026]

Design AI experiences that users trust and find delightful 


Develop user-centered AI use cases that drive strategic influence

Define design principles and system prompts that specify AI behavior

Design for trust using mental models and interface patterns

Develop system design thinking for probabilistic AI behaviors

Choose interaction patterns and modalities through data-driven frameworks

Build working prototypes using AI tools with test-iterate mindset

Mid-Senior UX Designers. Learn to design AI experiences, build a portfolio project, and stay ahead in a fast-changing design landscape.

Design Leaders:&nbsp; Gain frameworks to lead AI projects, guide your team, and integrate human-centered AI into your org.

PMs &amp; Startup Founders: Understand AI UX patterns, improve collaboration, and design responsible, user-centered AI solutions.

The technical vocabulary and depth designers need to build functional prototypes with agentic coding tools. No coding experience required.

Product design leader turned AI educator

Payoneer

Anna Arteeva

Anna Arteeva is a product design leader and a product builder

Principal Product Designer at Github

GitHub

Jan Six

Principle Designer at Github, co-founder of Tokens Studio

Principal Interaction Designer at frog

frog

Briana (Mazzio) May

Principal Interaction Designer and Discipline Lead at frog

Design at Qonto  • Founder

Qonto

Stan Reimgen

Design @Qonto • Founder • Hands-on Product Design Leader

Cohort April

June

Coding Designers used to be called Design Unicorns. Now it's a baseline expectation — and AI is what makes it accessible.Coding isn't just a way into frontend territory. It's how you get sharper insights from usability tests and stakeholder reviews, and how you push design beyond static visuals into interactive, data-driven experiences. Working code lets you prototype with real APIs, voice, vision, and user context — dimensions unavailble in Figma. This intensive course is built for product designers. You'll learn technical concepts through designer use cases, with hands-on exercises and personal feedback on every project. Topics covered:<ul><li>AI coding tools: when to use what</li><li>Frontend foundations</li><li>Design systems and prototyping environments </li><li>Interaction and motion </li><li>Figma ↔ code workflows </li><li>Building with databases and APIs </li><li>AI-powered features </li></ul>Tool-agnostic by design: we use Claude Code throughout, but the workflows transfer to Codex, Cursor, Antigravity, and Copilot. Tools like Lovable, v0, Figma Make are covered briefly, but not the focus of the course. <pre><code class="language-markdown"></code></pre>

From designer to AI-powered prototype builder.

The mindset and the tools

Visual exploration before code

Frontend foundations for designers

Prototype with your brand and design system

App architecture and real data

Beyond the prototype

User flows, design systems, variables and design tokens

Understanding of product design fundamentals

No previous coding experience required

Clear problem, user, and outcome definitions

Basic product thinking

Senior and lead Product, UX, and Interaction Designers, looking to future-proof their workflow and increase scope, deliverables, and impact

Design leaders, looking to make their teams more effective and impactful

Product managers, who want to become product builders, ideate, validate, and ship faster

You'll learn how to design AI features that people understand, use and trust — with practical UX guidelines and tons of real-life examples.

Sr. UX Lead • LinkedIn Top Voice in UX

European Parliament

Lexware

Otto Group

Axel Springer SE

SmashingConf

20 years of experience • Senior UX Lead @ EU Parliament • Speaker • SmashingMag

A practical guide on how to design AI features that people actually understand, use and trust.

Winter 2026

Summer 2026

❌ 30% off – "ICECREAM" (expired Apr 27) ❌ 20% off – "MUFFIN" (expired May 7) ❌ 10% off – "SOUP" (expired May 15)AI features are painfully verbose and unreliable. 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. Well, let's fix that!In this course, you’ll learn:<ul><li>State of AI 2026, from limitations to capabilities</li><li>Design patterns for AI products</li><li>Context engineering and how to design for it</li><li>Agentic AI, and how to design guardrails</li><li>How to design for trust and confidence for AI</li><li>How to prioritize impactful AI features</li><li>Launching AI features, where teams fail/succeed</li><li>AI-friendly design systems, and how to set them up</li><li>100s of real-life examples and UX guidelines</li></ul>No fluff, no theory — just what actually works in real products. Practical live sessions and guidelines that you can apply on day 1.<h2>The course includes:</h2>🪴 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

How to design AI products that people actually use and trust. 

State of AI UX in 2026

Design Patterns For AI Products

Boosting AI UX In Complex Products

Designing For Trust and Confidence

Real-World Case Studies

AI Design Workflow, From Start to Finish

We’ll be spending a lot of time, sketching, designing and thinking. 

Be ready to challenge your general view of the AI design proces.

☕️ Bring your preferred coffee mug!

Product&nbsp;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&nbsp;who want to boost their AI design skills and understand what makes a truly incredible AI experience.

Go beyond interfaces—shape how intelligent systems behave.

Cohort 3

Cohort 2

Cohort 4

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch users abandon it because they didn't understand what it was doing, or if you've been asked to "design the AI experience" but weren't sure where to begin, this course is for you.The Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Designers who craft user experiences, interfaces, and visual design.

User researchers conducting interviews, usability studies, and customer research to inform product decisions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

User experience design — information architecture, interaction design, usability, and end-to-end experience flows.

Design Patterns For AI Interfaces

What you'll learn

Why this topic matters

You'll learn from

Vitaly Friedman