Superunknown Studios

Persona-Driven Design & Storytelling with Ai

LEGO®

Bloomberg

Logitech

Netflix

Greg Aper

Chief Exploration Officer, Superunknown: Design x Ai pioneer, educator, speaker

Learn how using Ai for personas & storytelling can actually make your designs more human-centered, not less.

Using Ai to Create Authentic Personas & Backstories

Explore how you can place your personas in real-world locations or build stylized, fictional worlds for them to live in.

World-Building with Ai

See how drastically dissimilar the  endings can be when you choose different paths early in the design process using Ai.

Choose-Your-Own-Adventure: Persona vs Product

AI is moving fast and too many design teams are still playing catch-up. The question is no longer&nbsp;“can we use AI?”&nbsp;but&nbsp;“how do we design it well?”. Without thoughtful UX, AI features risk alienating users and delivering little ROI. Master UX Design for AI [MXDAI] fills this gap by giving individuals and teams the tools to&nbsp;design AI that’s human-centered, transparent, and impactful. MXDAI isn’t just another UX course—it’s a career and capability accelerator&nbsp;for designers and design teams in an AI-first world. Built by a seasoned design leader and AI practitioner, this program goes beyond theory to give you&nbsp;hands-on experience designing AI applications&nbsp;that are intuitive, aligned with user mental models, and tied directly to business goals. Since launch in March 2025, over 180 students have graduated from MXDAI and consistently rated it 5 stars. → For Individual Designers: Build Your Career in AI UX AI is reshaping products everywhere. But most designers haven’t been trained to design for probabilistic systems, conversational interactions, or multimodal experiences. MXDAI is for you if you want to:- Adapt your design craft to AI and lead confidently in cross-functional settings.- Build a&nbsp;portfolio-ready AI case study&nbsp;that proves you can design beyond static interfaces.- Stand out in interviews and land new roles by showcasing end-to-end AI UX thinking.- Gain direct coaching and mentorship to accelerate your career. You’ll walk away with:- A portfolio-worthy capstone project that tells a compelling story of your AI design skills.- A repeatable framework to&nbsp;take a user-centered approach in defining high-impact AI use cases and driving alignment with cross-functional partners.- Hands-on experience prototyping and testing AI-driven flows using no-code tools like Voiceflow, Replit, Magic Patterns, Lovable and more- An ongoing community for support and learning, with meetups, critiques, and resources beyond the course. → For Teams &amp; Corporate Training: Build AI Capability at Scale For design leaders and product orgs, the challenge isn’t just knowing&nbsp;what AI can do—it’s knowing&nbsp;how to design and integrate it well. Too often, teams run into predictable hurdles: → Designers may lack AI literacy, which makes it difficult to anticipate probabilistic behaviors or design for multimodal interactions.→ Workflows can feel fragmented, with no clear sense of where AI belongs in the user journey.→ Trust becomes a sticking point—AI features get shipped but feel clunky, opaque, or unconvincing to users.→ And perhaps most common, design, product, and engineering lack a shared vocabulary, making cross-functional collaboration slow and frustrating. MXDAI addresses these challenges head-on.&nbsp;We train design teams in AI UX frameworks that can be applied immediately to your company’s products. Team cohorts are customized so that weekly assignments map directly to your business use cases, ensuring relevance from day one. By the end of the program, your organization won’t just have better-trained designers - you’ll have a&nbsp;team playbook for AI UX&nbsp;that standardizes best practices and accelerates future work. Your team will walk away with:- A common language and toolkit for AI design that fosters seamless collaboration with PMs, engineers, and data scientists.- Internal UX artifacts and prototypes tied to your company’s own product strategy, ready to influence upcoming roadmaps.- Hands-on experience applying AI design frameworks and prototyping tools to real use cases and not abstract exercises.- The skillset to deliver AI experiences that are trustworthy, intuitive, and aligned with your business goals.

Design AI experiences that users understand, trust, and keep coming back to


Course syllabus

Build foundational AI design skills with expert-led modules. Learn user-centered AI design principles, perfect for busy design leaders and professionals.

OnDemand Content

Design AI experiences and receive weekly expert feedback on your portfolio project. Build a real-world AI design solution, ready for your professional portfolio.

Capstone Project

Join live sessions with your instructor for Q&amp;A, portfolio feedback, and insights on AI design decisions. Ideal for design leaders guiding AI-focused teams.

Live Design Sessions & Portfolio Feedback

Get in-depth strategies for AI design, ideal for design leaders wanting to develop the skills to lead teams in the AI design landscape.

Access to Advanced AI Design Strategies

Receive an official certificate upon completion of the course, demonstrating your expertise in designing user-centered AI solutions.

Certificate of Completion

Course schedule

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; Researchers:&nbsp;Understand AI UX patterns, improve collaboration, and design responsible, user-centered AI solutions.

Who is this course for

What you’ll get out of this course

Shape your mental models for AI UX: navigate non-deterministic user flows, apply systems thinking, and design for trust, transparency, and user control.

A Strong Foundation in AI Design

Use our proprietary journey mapping tools to identify and prioritize AI use cases—ensuring your designs deliver real user value and measurable business impact.

Strategic Understanding of AI Use Cases


Develop principles to shape AI experiences through trust, transparency, explainable AI, and by giving users agency and control at critical touchpoints.

Human-Centered Design Principles for AI


Build the UX logic of AI projects through flowcharts, journey maps, and system diagrams—developing the ability to think beyond screens and interfaces.

System-Level Thinking Skills


Leverage platforms like Loveable, Replit, Cursor, Voiceflow, and Magic Patterns to build interactive, working prototypes of your AI designs.

Interactive Prototyping with AI Tools


Use AI tools from Claude and Notion to Loveable and Voiceflow across multiple phases of your workflow—and build a clear understanding of how different tools support your design process.

Learn to Use AI Tools Across Your Design Process


Bring all assignments together into a final case study—stitching your work into a compelling narrative that demonstrates your end-to-end AI UX skills.

A Portfolio-Worthy Capstone Project


Get personalized feedback and guidance from the instructor—whether on your project, career trajectory, or navigating stakeholder challenges.

1:1 Weekly Coaching


Join group crit sessions, exchange diverse perspectives, and stay connected through monthly meetups long after the course ends.

A Highly Engaged Community & Ongoing Peer Network


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

Cohort 8

Rupa Chaturvedi

Cohort 7

Cohort 9

"The most powerful person in the world is the storyteller. The storyteller sets the vision, values, and agenda of an entire generation that is to come." – Steve Jobs With ever-increasing amounts of data 📈, do you find it challenging to: - Find yourself drowned in data cleansing &amp; prep exercise 🧹- Rapidly conduct deep analysis to identify key levers and root causes 🔍- Precisely and swiftly identify the key insights that can move the needle 🎯- Tell a persuasive story with data that moves your audience and gets you what you want 🗣️ You are not alone, McKinsey estimates most organizations capture less than one-third of the value from their data. The good news! You now have an AI Sidekick 🤖, which will give you unprecedented speed, scale, and quality to turn your data into gold. ✨ This course will teach you the step-by-step secrets to go from asking the right questions to crafting the most powerful narratives using data to achieve whatever professional and personal goals you set. 🎓 Imagine this: You're presenting your latest project, armed not just with data, but with a powerful story that captivates your audience. They're hooked on every word, every chart, every insight. &nbsp;📊 This is the power of AI-driven data storytelling.✨ 💡 About the Course By the end of the course, you'll become adept at using AI to turn complex data into compelling stories that drive action and impact. 🚀 You'll learn how AI can augment your analytical capabilities, automate tedious tasks, and provide deeper insights that were previously unimaginable 🧠. You’ll get step-by-step guidance and 50+ prompts to go from identifying the right questions to weaving data into an impactful narrative. 📝 Specifically, we will cover: 1. Enhanced Data Processing: AI can handle large datasets more efficiently than traditional methods, enabling faster and more accurate analysis. 📊 2. Predictive Analytics: AI models can predict future trends based on historical data, allowing for proactive decision-making. 📈 3. Automated Insights: AI algorithms can automatically generate insights from data, highlighting patterns and anomalies that might be missed by human analysts. 💡 4. Natural Language Processing (NLP): AI-driven NLP tools can convert complex data into easy-to-understand narratives, making data accessible to non-technical stakeholders. 🗣️ 5. Personalized Storytelling: AI can tailor data stories to specific audiences, ensuring that the right message is delivered to the right people. 🎯

Unleash your data storytelling potential with AI

Module1: AI Ecosystem &amp; Predictions 🌐

Live Session 1

Module 2: Supercharge Productivity &amp; Quality with AI 🚀

Live Session 2

Module 3: Hands-on Case Study - Real-life example to test the power of AI 💪 🤖

Live Session 3

Integration, Live AMA, and Wrap Up.

Live Session 4

Business Leaders and Managers: Who want to leverage AI for better decision-making &amp; greater influence

Data Analysts and Scientists: Looking to enhance their analytics &amp; storytelling skills

Marketing Professionals: Seeking to use data to craft compelling narratives.

Explore the current landscape and future trends of AI in data analytics to stay ahead of the curve

Deeper Understanding of the Gen AI Ecosystem & Predictions 🌐

Evaluate and select the most effective AI models to enhance your data analysis and storytelling capabilities

Comparison of the Best AI Models Suited for Data Analysis & Storytelling 🤖

Follow a comprehensive framework that combines AI techniques with proven data analysis methods for making informed decisions

A Robust Framework for Making Data-Driven Decisions Using AI 🧠

Learn actionable steps to leverage AI tools for boosting productivity and improving the quality of your data analysis

A Step-by-Step Guide on How to Supercharge Your Productivity and Quality of Output 🚀

Utilize a collection of 50+ AI prompts designed to help you start your data analysis and storytelling projects efficiently

Prompting Best Practices with Over 50+ Prompts to Get Off the Blocks Quickly ⚡

Master storytelling techniques and frameworks that incorporate AI to create compelling and impactful narratives

Storytelling Best Practices and Frameworks Along with Strategies to Leverage AI to Tell Powerful Stories 📚

Receive a 50-page playbook packed with 100+ AI prompts and a unique prompting framework to guide you on your journey

Your Data Storytelling Playbook 📖

Get free access to Custom GPT with personalized guidance and support from Amit Rawal, your expert data storytelling mentor

Your Personal AI Coach 🤝

Learn how to master AI 🤖 tools & frameworks to become 10X faster 📈 and smarter 🧠 at analyzing and storytelling with data. 

Amit Rawal

Chief Product & AI Officer, Ex-Apple AI/ML Product Leader, Stanford Fellow

Cohort 4

Cohort 5

AI is here to stay. The real question is how you make yourself visible in a world where algorithms, automation, and endless noise dominate. The answer lies in building a brand that starts with your story and grows into a strategy you can sustain. We begin by working on the foundations of your narrative. You’ll learn why stories cut through better than any algorithm, how to use frameworks like the ARC Method (Authenticity → Resonance → Credibility), and how to turn your lived experiences into leadership themes that resonate. Along the way, you’ll define your values, identify your archetype, and develop a brand compass that gives you a clear direction. What makes this course different to others focused on building your brand?We teach you to use AI as an amplifier for your authentic voice while giving you a framework to keep your brand evolving over time. AI as an AmplifierWe’ll explore how AI can help without replacing your voice:- Refining tone, identifying themes, and repurposing content- Tools for planning and scheduling so you can stay consistent- Ethical guidelines to ensure your brand feels human, not automated Planning for EvolutionYour brand is not static. We’ll close with:- A framework to refresh your story as you and your industry change- Ways to listen to your audience and adapt your message- Practical exercises to test and refine your approach over time By the end, you’ll have built your own Brand Playbook, which includes:- A purpose-driven narrative rooted in your experiences- A set of values, an archetype, and a brand compass to guide decisions- Clear messaging pillars and a channel strategy that fits you- A 30-day action plan supported by AI tools- A framework to evolve your brand over time This course is about helping you show up consistently, communicate with clarity, and build a brand that feels unmistakably yours—even in the AI era.

Create a personal brand that doesn’t just survive the AI era, but leads in it. 

Day 1: The Inner Narrative (Story &amp; Meaning)<ul><li>Discover why story cuts through noise better than algorithms</li><li>Craft your origin story and map your turning points into leadership themes</li><li>Define your brand compass: values, archetype, and voice</li><li>Draft messaging pillars</li></ul>

Thursday October 2nd

Day 2: The Outer Strategy <ul><li>Learn how to use AI to refine your story and scale your visibility</li><li>Build a content system and design your signature content format</li><li>Create a 90-day AI-assisted action plan</li><li>Develop a framework for evolving your brand as you and your audience grow</li></ul>

Sunday September 5th

🌱 The Career Pivoter: You’re moving into a new chapter—and want your brand to reflect your evolution, not just your past.

🧠 The Emerging Thought Leader: You’re ready to turn your lived experience into a clear, credible, and compelling brand voice.

👩‍💻 The Visionary Founder: Building more than a business—you want your story to fuel a movement and a message that scales.

Give students an idea of how they can expect to grow throughout your course. Include specificity and precise results so students can benchmark exactly what they’ll learn.

Define your core narrative: Craft a compelling story rooted in your lived experience that aligns with your mission, audience, and vision.

Identify the language, tone, and messaging pillars that differentiate your leadership in a crowded digital space.

Build a scalable content and brand strategy that connects your values to market-relevant visibility and growth.

Learn how to activate your brand through platforms, offers, and messaging systems designed for the AI-powered world.

In an era defined by automation, noise, and algorithmic influence, your story is your strongest signal - learn how to lead with it. 

Sobanan Narenthiran

Cohort 1

January 2026

But most teams are still designing like it’s 2015. AI is transforming industries and changing the very foundation of how products work. Companies are moving fast to integrate large language models, agents, and adaptive systems into their products. But as model complexity grows, the user experience often gets left behind. Powerful algorithms can now predict, generate, and decide but without thoughtful design, they often confuse users, introduce risk, or fail to earn trust. The challenge? Designing for AI isn’t like designing for traditional software. It’s not just about usability or polish anymore. It’s about system behavior, adaptation, and collaboration between humans and machines. If you’ve ever launched an AI feature only to see 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 Role of the Designer Is ChangingUntil recently, designers focused on interfaces and flows. Today, the frontier is different. OpenAI recently posted a job for a Model Designer, a new kind of design role focused on shaping how models behave. And it signals a broader shift across the industry: Designers aren’t just styling outputs anymore. They’re architecting how intelligent systems learn, adapt, and interact. In AI-powered products, design happens upstream, at the level of:- Data inputs and how users shape them- Model decisions and how they’re surfaced or corrected- Feedback loops that guide learning- System behavior that evolves over time To adapt to this new environment, designers must understand how models work, not to become ML engineers, but to ensure what the system learns, shows, or hides aligns with human expectations and values. Real Challenges This Course Prepares You For You launch an AI-powered feature and maybe it recommends content, summarizes input, or automates a task. But users are confused or drop off quickly. They can’t tell why the AI did what it did, or how to influence it. The model works, technically. The experience doesn’t.→ Learn to design transparency, feedback, and control into intelligent systems before trust is broken. Your CTO asks you to “design the AI experience.” There’s no interface yet, just a prototype from the ML team and a prompt to “make it usable.” You’re left staring at system outputs, unclear where to start, or how much of the system behavior is even within your control.→ Gain the tools and frameworks to work upstream, shaping behavior, not just UI. You’re in a meeting where the team is debating whether to launch a model with 72% accuracy. Product wants speed. ML is confident the model will improve post-launch. But no one’s talking about the UX cost of being wrong nearly 1 in 3 times or how the system will recover from those mistakes.→ Learn how to design for failure, uncertainty, and system correction from day one. A personalization feature goes live. But user feedback is harsh: “This feels random.” You realize the issue wasn’t the model, it was the lack of communication and guidance. There’s no explanation, no context, and no way for users to improve the output.→ Understand how to design model feedback loops and trust-building interactions. You inherit a half-built AI assistant. It occasionally interrupts users at the wrong time, answers inconsistently, and disappears when needed most. The UI looks fine but the behavior feels off. You realize this isn’t a layout problem, it’s a systems design problem.→ Move from UI design to shaping system behavior, flows, and agent logic. You will bring your own real-life project scenarios, and we’ll coach you through how to solve them—using frameworks, feedback, and hands-on critiques.

The AI Tech Revolution Is Redefining Design

Class will meet once a week for live lectures and project discussions.

Weekly Live Sessions

Plan to work on a capstone project to apply your learning to a capstone project

Weekly assignments

Get weekly 1-1 office hours for personalized feedback on your capstone project

1-1 Coaching 

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.

Learn how to speak the language of models, data pipelines, and evaluation metrics—so you can contribute meaningfully from early scoping to final delivery. You’ll practice framing use cases, defining handoffs, and aligning design with system capabilities.

Collaborate effectively with ML and Product teams

Instead of just designing around the model, you’ll explore how interaction design can shape what the model learns, retains, or ignores. You’ll build UX patterns that create useful training signals, structured inputs, and adaptive guidance.

Shape model behavior through smart UX architecture

You’ll create flows that help users understand, question, or override the model’s decisions—like confidence indicators, correction mechanisms, and recovery paths for failure scenarios.

Design interactions that support user trust, control, and adaptation

Learn to design feedback loops where user actions (like corrections, inputs, skips, or feedback) help the model adapt. You’ll map those flows and create testable patterns that help close the loop between model performance and user value.

Build systems that improve over time—with users in the loop

Whether you’re dealing with ranking systems, generation models, or multi-step agents—you’ll practice mapping decision logic, designing trust dashboards, and identifying failure points. You’ll learn how to advocate for UX in model evaluation and behavior design conversations.