How to Build & Launch an AI Startup with Claude Code: Full Course (6 Hours)

How to Build & Launch an AI Startup with Claude Code: Full Course (6 Hours)

🔗 Link do vídeo: https://www.youtube.com/watch?v=_0E-dzhjCoY
🆔 ID do vídeo: _0E-dzhjCoY

📅 Publicado em: 2026-08-06T19:05:24Z
📺 Canal: Build Great Products

⏱️ Duração (ISO): PT6H43S
⏱️ Duração formatada: 06:00:43

📊 Estatísticas:
– Views: 316
– Likes: 32
– Comentários: 15

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🚀 Apply to work with me and make $5-50k from your app idea: https://go.buildgreatproducts.com/

⬇️ Get ProductOS here: https://go.buildgreatproducts.com/product-os

👁️ Create your AI design system with Eyedropper: https://eyedropper.design

In 2026 it is now easier than ever to build software with AI. But building is not the hard part – everything else is.

Knowing if you're building the right thing, validating it with real customers, having the confidence to know what you've built can scale to 100s of customers, and finding the right distribution strategy to actually get customers for the product you've built.

So I decided to put together the definitive guide for building, launching and growing a real software product with AI – using my system ProductOS.

This is the system I use with my coaching clients that has helped them launch real apps, make thousands of dollars, and scale their businesses with real software for their clients.

Plus, I've included interviews with people from my coaching program and community to show you what building real products with AI and actually making money looks like.

So lock in, get ready, and start building something that can turn into a real business with AI.

And if you want to watch back in multiple sessions, the chapter markers are below!

Chapters:

00:00:00 Introduction: Building real software with AI
00:00:45 Introducing the 'Product OS' system
00:01:56 My background and experience
00:03:51 Success stories from the community
00:05:28 The four key problems with building
00:08:23 Overview of the four phases of Product OS
00:12:40 Introducing the project
00:15:28 Explaining the 'Product Offer' framework
00:17:07 Detailing the tech stack
00:19:29 Setting up the project folder
00:26:40 Starting the 'Define' phase
00:36:23 Defining the product
00:49:01 Generating the final `product.md`
00:52:03 Starting the 'Customer Persona' definition
00:59:32 Defining the customer's tech stack
01:05:32 Defining the customer's willingness to pay
01:10:11 Generating the final customer persona
01:12:40 Case Study: Zach's journey to 20k/month
01:23:40 Running the 'Pricing Strategy' skill
01:28:10 Generating the final `product.md`
01:37:30 Starting the 'Design' phase
01:44:27 Defining the product's identity
01:50:35 Choosing the brand's visual style
01:56:50 Starting the Design System generator skill
02:03:00 Generating the visual `design.html` artifact
02:08:00 Using Claude Code to create a UI mockup
02:16:32 Defining the product's 'Magic Moment'
02:23:40 Showing the final onboarding flow
02:32:00 Case Study: Jim's journey pivoting his product
02:42:00 Starting the 'Develop' phase
02:47:35 Choosing the final tech stack and MVP
02:52:40 Generating the final PRD and Roadmap
02:58:20 Kicking off the automated 'Build MVP' skill
03:09:20 MVP build complete: Reviewing the app
03:16:40 Making minor design tweaks
03:25:20 Creating a backlog for future improvements
03:34:00 Using the build loop to implement backlog
03:44:00 Explaining how the Convex works
03:50:20 Case Study: Greg's journey getting 'unstuck'
03:59:11 Setting up the GitHub repository
04:04:10 Starting the 'Go Live' skill for a deployment
04:11:30 Step 1: Claiming the Clerk production instance
04:17:18 Step 2: Setting up the Stripe account
04:22:40 Step 3: Pushing the Convex backend
04:27:00 Step 4: Setting up DNS records for Clerk
04:32:00 Step 5: Deploying the front-end app to Vercel
04:36:20 Debugging a live deployment error
04:40:40 Testing the full payment checkout flow
04:48:00 Case Study: Elton's journey to find PMF
05:28:30 Starting the 'Distribution' phase
05:32:00 The final ranked go-to-market (GTM) strategy
05:38:00 Starting the 'Growth Experiments' skill
05:45:00 A ranked list of growth experiments to run
05:47:30 Deep dive into the 'Pain Reply Sprint' experiment on X
05:52:40 Explaining the 'Automate and Scale' skill for winning channels
05:56:24 Final summary of ProductOS
06:00:27 Final thoughts

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