Build the right things, fast with AI

JustGiving

Lightful

Jonathan Waddingham

CPO (Lightful) | Built £100m+ product @ JustGiving | AI product leader

How To Test Desirability With AI Prototypes, Fast

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 you learnt.

Align the new discovery team and ship clear outcomes

Walk in with a problem. Walk out with a working prototype.

AI PM @Google - [Bay Area In Person]

Dr. Marily Nika

AI Product Lead @ Google, ex-Meta, Harvard Business School Fellow

AI Product @Google [Seattle In Person]

Diego Granados

AI Product @ Google

Virtual: From beginner to expert in Claude Code

athens in person - beginner

In 4 hours, you will research a real user problem, write a PRD that survives three senior reviewers, and build a working prototype -- without writing a single line of code yourself.This is not a lecture. You build the entire time.<h3>🗓️ Upcoming Cohorts</h3><ul><li>May 11 | 💻 Zoom Remote<ul><li>Lead: Marily | [101]</li></ul></li><li>May 16 | ☕ Seattle (In-person + Zoom)<ul><li>Lead: Diego | [ADVANCED]</li></ul></li><li>June | 🏛️ Athens (In-person + Zoom)<ul><li>Lead: Marily | [101] | Language: Greek</li></ul></li><li>July 17 | 💻 Virtual Only<ul><li>Lead: Diego | [101] | Language: Spanish / En Español</li></ul></li><li>July 21 | 💻 Virtual Only<ul><li>[ADVANCED]</li></ul></li><li>August 21 | 🏙️ Mountain View (In-person + Zoom)<ul><li>Lead: Marily | [101]</li></ul></li></ul>We will do this in-person but you can also join via zoom from anywhere!By the end of this session, you will have four real artifacts on your laptop:<ol><li>User research backed by real complaints from real people</li><li>A PRD with sections filled from actual evidence</li><li>A working prototype running in your browser with real UI, real sample data, and enough polish to show your stakeholders on Monday</li></ol>You also keep a GitHub repo with reusable templates and tools that work on any project, not just the workshop example.

PMs who want to move faster You use AI but haven't made it part of your daily workflow. Leave with reusable tools for PRDs, and reports.

PMs who want to prototype You have ideas but depend on engineering to see them built. Leave with a working prototype you built yourself.

Founders and builders Evaluating whether a problem is worth solving. Leave with user evidence, a PRD, and a prototype to make the call.

Shift from ad hoc AI efforts to disciplined, structured, workflow-driven collaboration before significant investment.

Workshop Lead: Netflix, Google, LinkedIn

Google

Netflix

Microsoft

LinkedIn

Paul Bryan

I help organizations design and develop AI products that deliver business value.

Cohort 1

July 2026 Cohort

<blockquote>AI applied to the wrong workflows leads to chaos. This course helps Enterprise teams launch successful AI pilots by aligning on workflows, roles &amp; responsibilities, risks, guardrails, and AI functional requirements before major investments.Industry reports suggest that over half of enterprise AI pilots never scale to production. Many pilots stall because the workflows were not ready for AI.This course addresses the real bottleneck: cross-functional alignment on key details before committing to technical debt.You will leave with:<ul><li>An AI Workflow Canvas: A structured way to identify where AI can move the needle in your organization</li><li>An AI Workflow Scorecard: A shared evaluation framework your cross-functional team can use to assess value, feasibility, data readiness, and risk</li><li>A Thin-Slice Prototype: Storyboards, scene cards, and an action flow diagram that aligns stakeholders across PM, DS, UX, Eng, and Biz on exactly what the AI system will do, feasibility and risk, and where humans are needed in the loop.</li></ul></blockquote>

Identify High-ROI Workflows Ready for AI

Identify high-friction workflows suitable for Enterprise AI

Prioritize AI initiatives using structured evaluation criteria

Clarify roles and decision rights before pilot launch

Surface feasibility and governance risks early

Make AI behavior visible to cross-functional stakeholders

Define readiness criteria before committing to a pilot

AI product team members (PM, UX, DS, ENG) who need a shared framework to align on workflows, feasibility, and responsibility before building

Product and business leaders accountable for Enterprise AI outcomes who must prioritize workflows and reduce risk before committing budget

AI governance, legal, and risk stakeholders who need structured ways to surface constraints, guardrails, &amp; ownership early in AI initiatives

Build concept prototypes to drive faster decision making cycles 

Principal PM at Yelp, ⭐ 4.9 on Maven

Yelp

eSpark

Codeverse

Priya Mathew Badger

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

Learn how to build functional prototypes to drive faster feedback cycles

AI prototyping is the #1 skill PMs need to learn, but most are still learning how to apply it to their product work.As a Principal PM at Yelp, I built repeatable AI prototyping workflows to explore ideas faster and drive leadership buy-in.<a target="_blank" rel="noopener noreferrer nofollow" class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.youtube.com/watch?v=wDA6DslBeqk">See my How I AI episode with Claire Vo →</a><h2>The Program</h2>This one-day live workshop takes you from ad hoc experimentation to building prototypes that drive better and faster product decisions.Get hands-on with AI prototyping as a core discovery skill: turning rough ideas into functional prototypes and driving faster feedback cycles. You leave with a working prototype that you can use for the next idea on your roadmap or job interviews."This was a very valuable course that not only teaches the basics of prototyping that you can immediately apply, but also instills the right mindset to work with the AI tools." — LK, Staff PM at Pinterest ⭐⭐⭐⭐⭐<h2>What's included</h2><ul><li>4 hours of live instruction with repeatable workflows</li><li>Experience prototyping with multiple tools (Claude, Magic Patterns, and Google AI Studio) </li><li>20+ learning modules and custom Skills you keep for reference</li><li>Lifetime recording access</li><li>Private AI Prototyping Slack community</li><li>1 free month of Magic Patterns </li></ul>

You will leave with a prototype you can use for team alignment and user feedback

How to turn rough ideas into functional prototypes using AI tools

Get a repeatable workflow you can run for any roadmap area or interview process 

Use prototypes to drive faster internal alignment and leadership buy-in

Individual Contributor PMs looking to master how to build functional prototypes and 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 who need to learn prototyping for interviews with AI-first product companies

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

Cohort 2

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

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

Introduction and Speaker's Background

Today's Agenda

The Evolution of the Product Process with AI

The Six-Week AI Design Sprint Framework

The Importance of Focusing on Desirability

Start with the End: Drafting Your Final Deck First

How to Measure Product Desirability

Fitting AI Sprints into Your Roadmap

What Makes a "Good Enough" Prototype?

The Challenge of Collaboration in AI Teams

Key Learnings and The Cultural Shift

Conclusion and Q&A

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

Startup founders building new businesses, from MVP to scale.

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

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

How To Test Desirability With AI Prototypes, Fast

What you'll learn

Why this topic matters

You'll learn from

Jonathan Waddingham