productxai

How to Ship AI Side Projects That Real Users Actually Want

Uber

The Boeing Company

Delivery Hero

ProductVoyagers.com

Ericsson

Wafaey

ProductxAI: Shaping Product Destinies from Research, Strategy to Impact.

Wyndo

AI Operator & Maker 🛠️

We’ll break down the real reasons good ideas stall after some weeks of being live. It’s not your code by the way.

Why most AI side projects quietly fail

Use the Prompt → Problem → Person method to stop guessing and start solving something that matters.

How to map prompts to real problems

Feed Claude/LLMs artifacts like chat logs and interviews. Spot patterns fast & get validated problems without guessing.

Discovery with AI

A helpful checklist to stress-test your idea before you waste time building it.

10-point idea filter

Ship production features 2x faster by using coding agents across research, planning, implementation, testing, and review workflows

Creator of Stanford's AI Coding Course

Amazon

Stanford University

Y Combinator

Mihail Eric

Created Stanford's first AI coding class. Former YC founder and Amazon AI lead. 

Cohort 3

Cohort 4

Today many developers use AI, but few are maximally productive with it. I created Stanford's first AI software development class, and after building a YC-backed coding company and leading AI at Amazon, I've seen how top engineers integrate AI into production workflows. My techniques have been used to train 200+ Stanford engineers and industry professionals.My goal is simple: make you dramatically more productive writing software with AI than without it.In this course, you'll learn practical, end-to-end workflows for using AI in real-world development, not toy examples.We'll cover:<ul><li>Building production features with AI agents using the research → plan → implement → test workflow</li><li>Configuring an optimal AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond)</li><li>Setting up review and CI processes that catch AI errors, hallucinations, and slop before production</li><li>Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput</li></ul>If you're ready to write better code, ship to production faster, and stay in control of your coding agents, let's get started.

Increase developer productivity with AI-first, production-ready workflows

Configure optimal AI-first developer environments to improve your coding output

Learn how to navigate the ecosystem of cutting-edge AI developer tools 

Exercise effective strategies for prompting and building with coding agents

Reduce hallucinations, software errors, and AI slop all while shipping faster

Become a manager of coding agents so you can keep many agents productive 

Develop a deep intuition for how AI coding platforms work under-the-hood

Engineers who want to increase their productivity with AI-generated code while making it actually production grade.

Engineering managers who want to ensure their teams aren't being left behind when it comes to the new way of developing software.

Those confused about how to develop with AI the right way (how to maintain context and manage multiple agents without compromising code)

 Stop waiting on engineering. Build it yourself in 3 hours.  

Former Director of AI @ Microsoft, IBM

Microsoft

Coursera

UC Berkeley

NumFOCUS

Gabriela de Queiroz

Ex-Microsoft & IBM AI leader | AI Advisor for Startups

Cohort 1

Cohort 2

🚨 Last cohort was sold out. FEW SEATS LEFT!AI is changing who gets to build.PMs are shipping tools they used to request from engineering. Analysts are building dashboards they used to wait weeks for. Founders are testing ideas without hiring teams first.The gap between having an idea and shipping something real has collapsed — if you know how to direct AI correctly.In this workshop, you'll learn the workflow modern AI builders use to go from idea → working product fast.By the end of this workshop, you will have: ✅ A working AI-powered product built from your own idea ✅ My exclusive 6-Question Build Brief that you can reuse for every idea you have ✅ Your own CLAUDE.md and supporting files so Claude Code work the way you work ✅ The build-fix-adjust loop template that makes Claude Code productive instead of frustrating ✅ Custom Claude Code skills tailored for you ✅ Additional materials to support your journey after the workshop ➕ Live feedback on your idea, workflow, and product direction from an AI leader who has evaluated hundreds of AI products and startups. Cohorts are intentionally small so you can get direct support throughout the session.

Go from idea → working product in one afternoon, without writing a single line of code.

Turn any idea into a build-ready plan with the 6-Question Build Brief

Learn how to direct Claude Code like a builder

Learn the build-fix-adjust loop modern AI builders use

Learn where AI accelerates your work — and where human judgment matters

Leave with a working product built from your own idea

PMs, analysts, marketers, founders, consultants, researchers, and operators who want to move faster without waiting on engineering

Non-engineers who want to learn the workflow modern AI builders use to turn ideas into working prototypes

People who are tired of watching AI tutorials and want to actually build something real

Build a working AI system connected to your real PM tools - research, prototypes, evals, and automation in 4 weeks.

20 years in product. 200+ PMs coached.

Indeed

Bazaarvoice

Will Lowrey

 20 years in product leadership. Indeed, Bazaarvoice, startups. 200+ PMs coached

Founding Cohort

Every PM has tried AI by now. Most stopped with chatbots.You've pasted in a PRD. Maybe you even ran a competitive analysis once. But none of it stuck. You don't have anything connected to your actual tools. It's better than before, but still clunky. The gap isn't knowledge. It's that nobody taught you how to build it - and the LinkedIn posts and tiktok videos are just one video after another of what could be. You've got to take it from reading/watching to DOING.Week 1: Run a competitive analysis in 20 minutes that used to take half a day. Build a reusable skill so the next one takes &lt;3 minutes.Week 2: Learn what evals are and why they're the skill that separates AI tinkering from AI building. Build a practice set that tells you whether any AI output is good enough to ship.Week 3: Wire Claude into your actual stack - Slack, Linear, GitHub, Google Docs. Build a clickable prototype from a PRD and test your skills on live data instead of copy-pasting.Week 4: Chain it all into a PM operating system that runs on a schedule.We start from zero. Pre-work covers the terminal, prompting, and your first skill before the first session.You don't leave with notes. You leave with a working system.

Build AI workflows connected to your real tools, tested on your real work.

Do PM research in 20 minutes that used to take half a day.

Learn to Eval AI output - not just doing a vibe-check

Connect Claude to your tools and build a working prototype

Build workflows that run on a schedule

Start from zero. No coding experience needed.

Learn by doing your actual job, not case studies.

If you believe that AI is a fad and is going away, this isn't for you. We are building for the future of product work.

This course is NOT FOR everyone

If you're in product, TPM, design, or engineering and want to bulid AI into your actual workflow, this is the right place.

This IS for Product and adjacent roles like TPM, Design, Engineering

You don't need to be perfect. You need to be willing to build, test, and iterate. That's the whole course.

Are You Ready To Try, Fail, Learn, and then Try Again?

The PM who tried AI and hit a wall. You've used some of the chats, but nothing has stuck. You need a system, not another prompt trick.

Senior PM drowning in recurring work. Same competitive updates, same briefs, same summaries every week. You need those hours back!

The Team Lead who wants to model what's next. Your team is watching. Master AI workflows yourself first, then bring the approach to your org

Build concept prototypes to drive faster decision making cycles 

Principal PM at Yelp, ⭐ 4.9 on Maven

Yelp

Google

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

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: Shipping AI Side Projects Users Want

Meet the Speakers: Wyndo Mitra Buwana & Offi

Session Agenda: Building Fast and Betting Smarter

Case Studies of Failed AI MVPs: Auto Pitch, Chat Care, Clip Cuts

The Six Traps of Building an AI MVP

The Core Concept: Your AI MVP is a Calculated Bet

The Anatomy of a Bet: Wheels, Engine, and Turbo

Real-World Example: Betting on Grocery App Promotions

Introducing the MOVE MVP Canvas

Live Demo Setup: Grounding AI with Project Knowledge

Live Demo: Using AI to Populate the MVP Canvas

AI as a Thinking Partner, Not a Replacement

Why the Kano Model Can Be a Trap

Using the 10-Point Filter to Refine Your Bet

Q&A: Transitioning from MVP to Alpha and Beta

Final Q&A and Closing Remarks

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.

Finding and validating product-market fit — identifying underserved markets, testing hypotheses, and iterating to fit.

How to Ship AI Side Projects That Real Users Actually Want

What you'll learn

Why this topic matters

You'll learn from

Wafaey

Wyndo