AI Superpower Individual: Ship Your AI Agent App in 3 Weeks
Nathan Wang
PhD Engineer | Shipping 1 AI App / Week
Stop No-Code Ceilings. Build & Ship Your Own Real AI App in 3 Weeks
Tired of "No-Code" ceilings or "Setup Hell"? Demos are easy; production is hard. This 3-week sprint is the condensed version of my $9,800 private program, helping PMs, Engineers, and Founders ship production AI apps on their own domain—without 6 months of syntax.
In a recent interview on Lenny’s Podcast (hosted by former Airbnb Product Lead), Marc Andreessen (Netscape founder and a16z VC) explains that AI is collapsing the silos between roles. He identifies the "Super-empowered Individual" as the future of elite builders.
Andreessen warns: to be "super-empowered," you must move from writing syntax to orchestrating AI bots in parallel, using deep full-stack knowledge to evaluate, "argue" with, and fix your agents effectively.
By the end, you will:
Launch a Live AI App: Fully deployed for real users, not just a localhost demo.
Master the "Digital Restaurant": Understand the system architecture (Frontend, Backend, Database) to evaluate AI output with high agency.
Work with SOTA Models: Harness Antigravity/Claude Code + Gemini 3.0 Pro.
Conquer the "Boring" Stuff: Plug in Auth and APIs using my battle-tested boilerplate.
We build together: moving from "vibe coding" to "here is the link."
What you’ll learn
Stop no-code hacks. Start from zero. In 3 weeks, build with AI agents and ship on your domain.
Deploy a full-stack application that real users can access via a custom URL, not just a localhost demo.
Escape the "No-Code" trap: Own your source code, database, and deployment pipeline forever.
Integrate real-world logging and error tracking so you catch bugs before your users do.
Visualize the connection between Frontend, Backend, and AI to debug issues without an engineer.
Translate product ideas into technical "One-Pagers" that AI can accurately code for you.
Trace data flow from user input to the LLM and back, removing the "black box" mystery.
Move beyond chatbots: Build agents that use tools to scrape the web, read files, and write docs.
Implement database persistence so your agents remember user context across different sessions.
Engineer reliable guardrails that prevent your AI from hallucinating or breaking character.
Follow my step-by-step workflow to configure coding env correctly in minutes.
Use my exclusive "Execution Prompts" to let AI fix terminal errors and dependencies for you.
Launch with Auth, Database, and AI agent already pre-wired in the Antigravity boilerplate.
Learn specific prompting workflows to get AI to write 90% of your syntax correctly.
Use "Cursor" effectively to refactor messy code into clean, maintainable files.
Use my exclusive "Coding Agent System" to enforce structure and high-quality architecture on every AI output.
Learn directly from Nathan
Nathan Wang
AI Builder & Educator | Shipping 1 AI product/week
Who this course is for
Product & Program Managers
Stop waiting for engineers. Build high-fidelity prototypes yourself to validate ideas and unblock your roadmap.
Software & Hardware Engineers
You know logic but hate the Web Stack. Use AI to bridge the gap and translate your rigor into shipping apps.
Founders & Entrepreneurs
Stop paying agencies $20k. Escape the "No-Code" trap. Build, deploy, and own your production stack in just 3 weeks.
What's included
Live sessions
Learn directly from Nathan Wang 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.
AI Prompt Library
Pre-built prompts for memory extraction, agentic system, and AI coding. Copy-paste ready for your AI product.
Production Code Templates
Complete codebase in production template (scalable, multi-user). Clone and deploy immediately.
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 • 25 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
Feb
28
Live Session 1: Foundation, Modularity, and the API Waiter
Live Session 1: Summary
👨🏻💻 Project 3: The Building (Frontend & Backend)
Week 2
📦 Module 2: Setting Up the Kitchen (LangChain Setup)
Mar
7
Live Session 2: Designing the "Brain" of Your AI Agent
Live Session 2: Summary
👨🏻💻 Project 4: The Intelligence (AI Agents)
[Reading] ReAct: Synergizing Reasoning and Acting in Language Models
Free resources
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, Feb 28
5:00 PM—7:00 PM (UTC)
Sat, Mar 7
5:00 PM—7:00 PM (UTC)
Sat, Mar 14
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.
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 ManagerIf 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 1: Turn Spoken Chaos into Interview Gold with AI
Speak your story. AI structures it into a perfect PAR narrative. Try it at parfolio.app
Student Showcase 2: Turn Unpredictable Weather into Precise Demand Planning
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Optimize inventory with AI weather data. See it live: agenticai-minerals-weather.onrender.com
Frequently asked questions
$1,536
USD