Design × Engineering: Building a High-Taste OpenClaw AI Agent with Vibe Coding
Nathan Wang
Built 17 AI Products in 17 Weeks | Apple
Yan Liu
Principal Designer @Microsoft Ex-Spotify
The first course combining Silicon Valley product design with AI engineering. Ship a polished, production-ready AI product in 3 weeks.
Most AI courses teach you to build something that works. This one teaches you to build something people actually want to use.
The gap between "it works" and "it's great" is design. The gap between "it looks great" and "it's real" is engineering. This course closes both gaps in 3 weeks.
Co-taught by a Microsoft Principal product designer and an AI engineer who shipped 17 products in 17 weeks — you'll learn the full stack, combining design taste, visual systems, product thinking, and production deployment.
By Day 21, you'll have a polished, deployed AI product with a landing page — something you can confidently show employers, investors, or early customers.
Whether you're a designer, builder, or aspiring founder, this course will teach you how to turn ideas into real products in the AI era.
What you’ll learn
Ship a polished AI product with strong design taste — mastering the full stack from high-end UI to production deployment.
What makes an AI-native product?
The modern vibe coding workflow
Tools we’ll use in the course (Replit, Claude, Cursor, etc.)
Defining user value and product scope
AI agent use cases that actually work
Visual Storytelling — use your Style DNA to create a cohesive brand experience
The next-generation AI interaction models
Style DNA, define and apply a cohesive visual identity to any product in minutes
The Taste Framework, turning rough ideas into polished UI
AI Agent Architecture — build real backend functionality with Firebase and APIs
Production Deployment — ship to a custom domain with SSL and hosting
Landing Page Design — create a conversion-optimized page that sells your product
Production Deployment — ship to a custom domain with real hosting and SSL
Go-to-Market basics — build in public, get your first users, create launch momentum
Demo Day — present your polished product to the cohort and get feedback
Learn directly from Nathan & Yan
Who this course is for
PMs & Designers — You create beautiful Figma mocks and detailed PRDs, but wish you could actually build and ship the product yourself.
Founders — You have strong ideas and domain insight, but want to validate products quickly without relying on a full engineering team.
Engineers — You can build almost anything, but your UI and product experience still feel generic.
What's included
Live sessions
Learn directly from Nathan Wang & Yan Liu in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Production starter templates
Skip weeks of boilerplate and start building your
Design system toolkit
Everything you need to make your product look premium.
Weekly live feedback sessions
Real-time design and code reviews from Nathan & Yan
Deployed product on your own domain
Not a localhost demo or Replit link.
AI prompt library
The shortcuts that took us months to develop.
Private cohort community
lifetime access to builder network
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
3 live sessions • 39 lessons • 3 projects
Week 1
Apr
11
Live Session 1: Design Foundations & Your First Build
🧠 AI-Native Product Thinking
💡Identifying High-Leverage AI Ideas
🎨 Designing AI Experiences
✍️ Project 1: Build Your first AI Product Prototype
🚀 Outcome
Week 2
Apr
18
Live Session 2: Full-Stack AI Engineering & Polish
🧠 AI Engineering for Product Builders
⚡ Vibe Coding Workflow
🎨 Designing for Taste & Product Quality
✍️ Project 2: Build a Functional AI Product
🚀 Outcome
Schedule
Live sessions
2 hrs / week
2-hour weekly live build where we code together, review your progress, and unblock you. Expect short demos, guided implementation, and open Q&A so you leave each session with real features shipped—not just theory.
Sat, Apr 11
4:00 PM—6:00 PM (UTC)
Sat, Apr 18
4:00 PM—6:00 PM (UTC)
Sat, Apr 25
4:00 PM—6:00 PM (UTC)
Hands-on Project
2-4 hrs / week
Time you’ll spend building your own AI production ready app: following step-by-step tasks, wiring APIs and auth, fixing bugs, and polishing the UX so your project is ready to demo and share with real users by the end.
Frequently asked questions
$1,999
USD