AI Superpower: Vibe Code Your AI Agent in 3 Weeks
Nathan Wang
18 AI Products · 50,000+ Students
Ship Your First AI Product in 3 Weeks.
Sound familiar?
- You've watched AI tutorials, but nothing you build actually works end-to-end
- You can prompt, but you can't ship — there's a gap between "cool demo" and "live product"
- You've tried Cursor or Claude, but deploying with auth, memory, and real infrastructure feels impossible
- You know AI is reshaping your career, but you have nothing shipped to prove you can build with it
This course fixes that — in 3 Saturdays.
You'll go from idea to a working AI product with real infrastructure, real deployment, and a workflow you can reuse again and again. Not a prototype. Not a localhost demo. A live product on your own domain.
Built from the same system Nathan uses to run ClawBot, Trade AI, Creator AI, and Clip AI — 20+ AI agents across content, trading, research, and operations. One person. No team.
🔥 Cohorts 1 & 2 sold out. Enrollment closes April 27. Self-funding? Code 20OFF for 20% off — expires April 20.
What you’ll learn
Go from AI-curious to shipped AI product — with a repeatable workflow you own forever.
Deploy a live AI product with auth, database, and AI logic — not localhost, real users.
Use the same production starter template behind ClawBot, Trade AI, and Creator AI.
Own your code, data, and deployment. No vendor lock-in, no platform fees.
See how frontend, backend, and AI connect end-to-end. Debug at the system level, not just the prompt.
Turn product ideas into structured one-pagers that AI coding agents (Cursor, Claude Code) build accurately.
Learn the architecture behind real products with 2,500+ users — not toy demos, production systems.
Go beyond chatbots: build agents that trade stocks, publish content, and manage operations while you sleep.
Wire persistent memory so agents remember context across sessions — the same system powering 20+ live agents.
Engineer guardrails and safety rails that prevent hallucination and keep agents on-task in production.
Follow battle-tested setup workflows. Configure your full dev environment in minutes, not days.
Use 'Execution Prompts' — AI auto-fixes terminal errors, dependency issues, and config problems for you.
Launch with Firebase Auth, Firestore DB, and AI agent pre-wired using the Antigravity boilerplate.
Master prompting workflows that get Claude Opus, Gemini 3.1, and GPT-5.4 to write production-quality code.
Refactor messy AI output into clean, maintainable architecture using Cursor/Antigravity IDE and Claude Code CLI.
Use an exclusive coding agent system that enforces quality — the same one behind 18 shipped products.
Learn directly from Nathan
Nathan Wang
20+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta
Who this course is for
PMs & Operators Who Want to Build
Stop writing specs. Ship a real AI product yourself—no engineering dependency, no no-code ceiling.
Founders & Solo Operators
Ship your first AI feature fast—without hiring a team or waiting months to validate your idea.
Engineers Ready to Ship AI
You code, but AI-to-production is different. Go from API demos to a deployed product with real users.
What's included
Live sessions
Learn directly from Nathan Wang in a real-time, interactive format.
Certificate of completion
Prove you can build and deploy production AI agent systems. Share on LinkedIn or with your employer.
Lifetime access
Every recording, template, and resource - yours forever. Revisit as AI tools evolve and your agent army grows.
Private builder community
A Slack group of builders who ship. Get feedback, share wins, find collaborators for your agent system.
AI Prompt & Architecture Library
Battle-tested prompts for memory, agents, and AI coding - the same library behind 18 shipped products.
Production Code Templates
Complete codebase with auth, DB, and AI agent pre-wired. The foundation for your first 3 agents.
The 7-Day Ship Blueprint
Nathan's system for idea to live AI agent in one week - the workflow behind the 20-agent system.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
33 lessons • 7 projects
Week 1
🏗️ Module 1.1: The Digital Restaurant Architecture
⚙️ Module 1.2: Environment Setup (The "Boring" Stuff)
👨🏻💻 Project 1: Design Your "One-Pager" Blueprint
👨🏻💻 Project 2: Build Your Landing Page
Live Session 1: Summary
👨🏻💻 Project 3: The Building (Frontend & Backend)
Free resource
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Agentic Coding Zero-to-Shipped: Google Antigravity Jumpstart
Set Up Your "Mission Control"
Configure "Manager View" to orchestrate parallel Gemini agents instead of just chatting with one bot.
Build with "Artifacts" & Vibe Coding
Use natural language to generate "Artifacts"—verifiable plans & code—that agents execute autonomously.
Ship Without Touching Localhost
Let Gemini 3.0 Pro/Claude Opus 4.5 handle the terminal & debugging. You'll leave with a live app built by your new AI te
Schedule
Live sessions
2 hrs / week
2-hour weekly live build. Short demos, guided implementation, Q&A. Leave each session with real features shipped - building toward your agent army.
Hands-on Project
2-4 hrs / week
Build your own AI agent: wire APIs, auth, memory, AI logic. By the end, your agent runs on your domain - the first soldier in your system.
Testimonials
I came into this with zero coding background—I was mostly 'vibe coding' and guessing my way through. I hit a few real hurdles, like wrestling with a login bug on a Sunday afternoon and dealing with data ambiguity (finding the right 'Bergen'!), but Nate’s step-by-step logic and analogies made the technical mechanisms finally click.
I went from feeling like a novice to actually building and deploying a functional weather intelligence platform that now automates data exports directly into our Azure Data Lake for demand planning. This course proved I don't need a CS degree to build serious, integrated tools for my job.
Student Showcase: GC Rieber Minerals Weather
Erik D.
Senior ERP and Technology ManagerI'm a Senior Machine Learning Engineer building GenAI applications and AI agents. I use Claude Code and Cursor daily - I thought I knew this space well. But Nathan's course completely shifted how I think about building AI products. It's not just about single agents - it's about designing agent operating systems where multiple agents share memory, learn over time, and grow with the user. Watching Nathan build 18 products in real-time and break down every architectural decision was unlike any course I've taken. It's such a pleasure to learn from someone who's actually doing this every day.
Yiyang Z.
Senior ML Engineer, Tech Incubator in Silicon ValleyIf the goal is to be a mediocre coder, then just let the AI do it. It’s fine... but if the goal is to be one of the best software people in the world and build technologies that really matter, then you 100% want to still understand this thing all the way down the stack. You need to be able to understand what the AI is actually giving you.
Watch the full interview: Marc Andreessen: The Real AI Boom Hasn't Even Started Yet
Marc Andreessen
Co-founder and General Partner at a16z and Netscape Co-founder
Student Showcase: Nicola's PARfolio — AI Interview Coach
Week 3 build. Speak your story, AI structures it into a PAR narrative. parfolio.app
Student Showcase: Erik's Weather-Driven Demand Planner
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Week 3 build. AI turns weather forecasts into inventory decisions. Live on Render.
Frequently asked questions
$1,799
USD