
Building software has never been easier — but building the RIGHT software and actually getting paying customers is still the hard part.
In 2026, with tools like Claude Code, Codex, and Cursor, anyone can build an app in a single afternoon. But most people build something nobody wants, launch to silence, and give up within weeks. This course exists to fix exactly that.
If you're an aspiring founder — imagine taking a raw idea and shaping it into a validated, positioned product with a real customer, a real offer, and a real pricing strategy before you write a single line of code.
If you're a non-technical builder — picture deploying a real, production-grade web application live on the internet, wired up with payments and authentication, without ever touching the code yourself.
If you're a business owner — imagine turning your own industry expertise into custom software that scales your operations, serves your clients better, and lets you take on more work.
And if you're a freelancer or entrepreneur — imagine having a proven, repeatable system to launch products AND actually get customers, instead of hoping something sticks.
This is the most complete end-to-end AI startup course available. In one course, you'll master the entire ProductOS system — the four pillars of Define, Design, Develop, and Distribute — with step-by-step guidance from a raw idea all the way to a live, deployed, revenue-ready product.
Building with AI isn't just about prompting anymore. With the Define phase, you learn to craft a product offer, map a detailed customer persona, and lock in pricing that makes people actually pay. With the Design phase, you build a real brand identity, a full design system, UI mockups, and a high-converting onboarding flow that avoids generic "AI slop." With the Develop phase, you generate a PRD and roadmap and build your entire MVP automatically using Claude Code and Fable 5 — then deploy it live with Convex, Clerk, Stripe, and Vercel. And with the Distribute phase, you build a ranked go-to-market strategy, run growth experiments, and learn how to automate and scale whatever channel works.
By the end of this course, you'll be defining winning products, designing them so they stand out, building full applications with AI, deploying real software live, and mapping a clear path to your first paying customers — whether you're starting from scratch or ready to go much deeper.
We don't just talk theory. We build a real product together, live, from an empty folder to a deployed app called Eyedropper — while I explain every single decision along the way. You'll also learn the real technical fundamentals behind it all: how databases and backends work with Convex, how authentication works with Clerk, how to wire up Stripe managed payments, how to configure DNS records, and how to debug live deployment errors — all without needing to code yourself.
Additionally, you'll get real case studies woven throughout the course from people who have actually done this: someone making over $20k a month, someone who pivoted their entire product mid-build, someone who got unstuck on deployment, and someone who found true product-market fit. These stories show you exactly what building real products with AI looks like in practice.
What You'll Learn in This Course:
Section 1: Introduction & The ProductOS System
Understand the four key problems with building software using AI — and how ProductOS solves each one. Get a clear overview of the Define, Design, Develop, and Distribute phases, and see real success stories from people who have used this exact system to launch products and make money.
Section 2: Getting Started — Project & Tech Stack Setup
Learn the Product Offer framework that sits at the heart of every product idea. Understand the full recommended tech stack — Claude Code, Convex, Clerk, Stripe, and Vercel — and set up your project folder and ProductOS from scratch, even as a complete beginner.
Section 3: The Define Phase — Product Offer & Persona
Create a sharp product offer that nails your customer, pain, outcome, mechanism, proof, and guarantee. Build a detailed customer persona so your AI agent knows exactly who it's building for — and generate your single source-of-truth product document file.
Section 4: The Define Phase — Pricing & Validation
Figure out your customer's real willingness to pay and lock in a pricing strategy that makes signing up a no-brainer. Run a mini launch to validate your idea with real people before building anything, and learn from Zach's journey to over $20k a month.
Section 5: The Design Phase — Brand Identity & Design System
Create a minimum viable brand identity, define your worldview and tone of voice, and choose a visual style that stands out. Generate a complete design system with a design and a visual design documents artifact to keep every screen consistent.
Section 6: The Design Phase — UI Mockups & Onboarding Flow
Use Claude Code with design tools to create real UI mockups from your design system. Define your product's "magic moment," map out a complete onboarding flow, and see how Jim pivoted his entire product to find success.
Section 7: The Develop Phase — Spec, PRD & Building the MVP
Turn all your documents into a PRD and roadmap, then kick off the automated Build MVP skill to build your entire product in one go. Review the finished app and understand exactly how the automated build loop works.
Section 8: The Develop Phase — Refining & Improving the App
Make design tweaks, create a backlog of improvements, and use the build loop to implement changes efficiently. Understand how Convex powers your backend and database, and learn from Greg's journey getting unstuck.
Section 9: Deployment — Taking Your App Live
Set up GitHub, then follow the Go Live skill step by step: claim your Clerk production instance, set up Stripe, push the Convex backend, configure DNS records, and deploy your front-end to Vercel. Learn to debug a real live deployment error and test a full payment checkout flow from start to finish.
Section 10: The Distribute Phase — Getting Customers & Scaling
Build a ranked go-to-market strategy, generate a list of growth experiments, and take a deep dive into proven tactics like the Pain Reply Sprint on X. Learn how to automate and scale winning channels — and see how Elton found true product-market fit.
Now, why should you take this course from me?
I've spent 15 years working with, advising, and designing real apps for startups — including Y Combinator–backed companies that have gone on to raise millions and exit for millions. I've launched my own apps making over $1,000 in their first 30 days, and I've helped hundreds of people build and launch real software through my community and coaching program. Everything in this course is the exact system I use with paying clients — now laid out step by step for you to follow and build something real.