Jonathan Waddingham

How To Test Desirability With AI Prototypes, Fast

JustGiving

Lightful

Former CPO at Lightful; built AI features and scaled JustGiving Crowdfunding

Learn a simple, repeatable loop to answer the key question of “do users actually want this?”

Run a desirability-first AI discovery sprint

Use vibe coding tools to prototype for learning, not pixel polish, so you can test the core value proposition fast.

Create a “good enough” AI prototype to generate insights

Leave with a lightweight operating model for blurred roles (PM, design, dev), plus the story of what your learnt.

Align the new discovery team and ship clear outcomes

You’ll prototype the experiences you already design, and expand into new dimensions: real functionality and data, AI models

a product design leader and AI educator

Payoneer

Anna Arteeva

Anna Arteeva is a product design leader and a product builder

Design Director @ Superhuman/Grammarly

Grammarly

Superhuman

frog

Ustwo

Pitch

Kevin Cannon

Design leader specialising in AI-powered tools and emerging technologies. 

Principal Product Designer at Github

GitHub

Jan Six

Designer who codes, co-founder of Tokens Studio

Cohort 1

Cohort 2

Designers who code used to be called “unicorns”. Now it is quietly becoming the baseline. The good news is that AI and modern tooling make this much more accessible than it used to be.Built specifically for designers, this intensive course blends practical frameworks, hands on exercises and personal feedback. Technical concepts are introduced from a designer’s point of view, with designers’ goals in mind.We focus on the parts of product work that actually ship: clean layouts, design systems, reusable components, real navigation and non trivial flows. Vibe-coding and AI tools help you work directly in code with function and data instead of stopping at static mockups.After completing this course, you will be able to turn your designs into working web apps that match your visual language with precision.<h1>What you’ll build</h1><ul><li>A functional web app, styled to match a brand and using design-system components.</li><li>Features, components and interactions using third-party libraries.</li><li>User flows with non-trivial logic and dynamic data.</li><li>At least two AI-powered features (LLM, voice, or diffusion) wired via API keys, prompts, and guardrails.</li><li>Collaborate and handover via GitHub.</li></ul>❤️ Lovable Pro is included!<h1></h1>

Vibe-code functional apps with design systems, real data and AI-powered logic.

AI prototyping mindset and tools

Prototype with your brand and design system

Frontend foundations for designers

Building AI functionality

Understand product architecture, work with dynamic data and databases

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

Mid-Senior Product, UX and Interaction Designers, looking to future-proof their workflow, increase the scope of 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 deliver their ideas faster

You will leave with 2 prototypes for your product that you can use to get user feedback and stakeholder buy-in. 

Principal PM at Yelp

Yelp

Gopuff

Google

eSpark

Codeverse

Priya Mathew Badger

Principal PM for Yelp's AI Assistant, Lenny's Community Top 25 contributor 

AI prototyping is the #1 skill for the AI era. Yet most PMs haven't mastered it enough to impact their day job.If you’re a PM at an established company, you get the friction:You want to use AI, but you spend too many cycles prompting, don't get prototypes that look like your actual product, and aren't sure how to bridge the gap for stakeholders.You need a fast way to build within real-world constraints.As a Principal PM at Yelp, I created repeatable AI prototyping processes to improve my product ideas and drive faster buy-in.When I shared my workflow on <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.chatprd.ai/how-i-ai/ai-product-management-and-prototyping-at-yelp">How I AI podcast</a>, Claire Vo said:<blockquote>"Priya has given us a new way to think about product management with AI... it breaks away from the old, rigid linear process."I’ve since trained hundreds of PMs to do the same. It's something you can learn in a few weeks with enough effort and support.</blockquote>What Makes This Different:<ul><li>Built for Practitioners: Learn the exact workflows I use to build AI at scale</li><li>High-Touch: Capped at 30 peers for personalized coaching </li><li>No coding: Just bring your product intuition</li><li>Weekly Build labs: Get live homework help</li></ul>Move beyond ad hoc experimentation to having a structured process you can apply across real product problems.

Build functional prototypes to accelerate product discovery for your product 

Build a repeatable system for prototyping to save time and avoid frustration

Prototype AI-powered features so you can shape great AI product experiences

Practice communication tactics that drive buy-in and get quality feedback

Learn the process changes to integrate into your product development process

This is a hands-on course where you will build actual prototypes iterating on your existing product

Have an existing user problem or opportunity in mind

This course will give you hands-on practice and expert guidance but you'll need to put the work in to build and troubleshoot

Curious and motivated to learn

This course requires NO technical knowledge but does involve using multiple AI tools

Basic familiarity with AI prompting

Individual Contributor PMs looking to master how to build functional prototypes and learn to use them to get faster feedback and alignment

Product leaders (GPM/Director/VPs) interested in leveraging AI prototyping for vision and team upskilling

Job Seeking PMs looking to join companies with modern AI-first product processes

Discover opportunities with AI → validate with interactive prototypes → design AI features → automate workflows → ship functional software

Product Design Leader

Product Design Leader and AI educator

Product Leader

Julia Bastian

Product Lead - Innovation & GenAI, ex VP of Product at Alasco

Senior Solution Architect, MBA

Vlad Daskalov

MBA, Agentic AI advocate, Senior Solution Architect

In an AI-accelerated product world functional prototyping is non-negotiable. PMs are expected to explore, ideate and validate ideas quickly, collaborate effectively with designer and developers whose roles are changing too.You'll learn from three experts with different backgrounds: Product, Design, and Engineering. This ensures you get deep insights into design and engineering topics while learning to navigate the change and bring your cross-functional partners along.<h3>What is covered:</h3><ul><li>AI for modern discovery and synthesis</li><li>functional prototypes with Lovable</li><li>Frontend foundations: with real components, brand-consistent styling, complex user flows</li><li>Essentials of app architecture: Backend, Frontend, Data, APIs</li><li>Automation (Make, n8n, APIs, webhooks).</li><li>AI-powered functionality with integrated LLM, image and voice models</li><li>System prompts engineering.</li><li>Analytics, a/b testing and idea validation so you can back up your prototypes with evidence.</li></ul>Then will talk about real hard topics<ul><li>cross-functional team collaboration</li><li>code hand over</li><li>work inside an existing codebase.</li></ul>❤️ Lovable Pro is included!

Learn the new PM stack: vibe-coding, automation, AI features, and code handover

AI-powered discovery and opportunity framing

Vibe-coding fundamentals and AI ecosystem

Frontend foundations and system architecture

Design systems and brand-consistent UI

Architecture, data, and automation

AI features, validation, and handover

You can clearly define problems, users, and desired outcomes

Familiarity with digital products and curiosity about how they work will help you get more out of the course.

You should be comfortable with how digital products are planned, built, and shipped, and have working knowledge of the modern tech landscape

Understanding the tech company ecosystem

Product Managers, Owners, Researchers, Growth who want to become full-stack builders, validate ideas with confidence and iterate faster.

Non-developers across the organisation – sales, marketing, ops, GTM, finance, or HR – who want to build their own tools and experiments

Leaders in tech companies who want to make their teams more effective through AI coding, shape AI strategy, and sharpen workflows.

This is a hands-on transformation blueprint. In just 4 weeks, you'll go from "hoping it works" to "knowing it will work"

Chief Product Manager and Co-Founder

JPMorgan Chase & Co.

Market Axess

Goldman Sachs

Software AG

Anil Jaising

Anil Jaising helps product leaders thrive by unpacking innovation 

Principal Product Consultant

TiVo

Persistent Systems

Bernie Maloney

From breakdowns, through breakthroughs, to $1B and beyond

Cohort Based Course

You've watched engineering spend months building something that flopped at launch. You've sat in prioritization meetings arguing about which bet to make, with nothing but opinions and gut feel.There's a better way.This course gives you a systematic method to validate product ideas before you ask engineering for a single sprint. Using AI-powered prototyping, structured experimentation, and real market testing, you'll learn to separate winning ideas from expensive mistakes in weeks or days rather than quarters.By the end of this 4-week course, you'll have validated (or invalidated) a real product concept using techniques you can repeat on every initiative you touch.<h2>THE PROBLEM THIS COURSE SOLVES</h2>Product leaders face a credibility gap:• Competitors ship faster because they've figured out how to test before they build• Your roadmap is built on assumptions, but stakeholders expect certainty• Engineering capacity is scarce, and you can't afford to waste sprints on unvalidated ideas• AI tools exist that could accelerate validation, but you're not using them systematicallyMost PM courses teach you frameworks for thinking. This one teaches you a system for proving.

The systematic approach to validating product bets before engineering commits. 


Map and Prioritize Your Riskiest Assumptions

Prototype Without Engineering Using AI and Vibe Coding

Design Experiments That Generate Evidence, Not Opinions

Create Offers That Convert Interest to Commitment

Folks who are early career, or are meaningfully involved in content creation should not enroll

This course is NOT FOR everyone

It is almost certainly the most advanced product validation course, suited for PMs, Design, Eng, Data, etc 

This IS NOT a beginner level course

It IS NOT for folks who like to outsource their thinking to others and just follow directions or Anyone looking for theoretical frameworks 

It is FOR YOU if you like think for yourself and WANT to WIN

Product Focused Startup founders and Corporate Product Managers frustrated by the gap between their products's potential and current result

Product Directors accountable for portfolio-level outcomes, need to de-risk multiple bets and adopt validation as a standard practice

Product Managers Building new products or major pivots to prove product-market fit signals before scaling investment in high risk assumption