AI Superpower: Become an OPC — Build Your One-Person Company in 3 Weeks
Nathan Wang
18 AI Products · 50,000+ Students
From AI-curious to operator of your own agent crew.
The first $1B-revenue company run by a single founder is being built right now.
The bottleneck isn't capital, talent, or distribution — it's whether you can stop being an employee of your own to-do list and become an Operator of an AI agent crew.
In 3 weeks, you'll ship a real AI product to your own domain — and more importantly, install the OPC stack (ClawBot + AgentOS + your first 3 agents) that turns "I built one thing" into "I ship in parallel, forever."
Same AgentOS powers 18 products in ai-nate.com and my OPC daily operations today — currently consuming ~1B tokens/day in real production use. Not a wrapper on any open-source project. You inherit polish I've already paid for.
The 3 Pillars of the OPC Thesis:
1. Leverage beyond headcount — Scale stops being a hiring problem. It becomes an orchestration problem.
2. Speed of one — No meetings. No alignment. One operator dispatches 30+ agents in parallel.
3. Margin of zero — No payroll. No offices. The first OPC unicorn will be the most profitable company ever built.
18 products in 18 weeks isn't the ceiling. It's the floor.
What you’ll learn
Ship your first AI product — and the OPC stack to ship 17 more. Become the operator of a billion-dollar one-person company.
Deploy a live AI product with auth, database, and AI logic. Real users, real domain — the first soldier in your crew.
Use the same production starter behind ClawBot, Trade AI, and Creator AI — the foundation of an OPC.
Own your code, data, and deployment. No vendor lock-in. No platform fees. Pure margin.
Set up ClawBot as your foreman — the router that dispatches work across your agent crew.
Configure AgentOS: memory, sessions, plugins, identity — the runtime your agents live in.
Same architecture behind 18 shipped products with 0 employees. Operator stack, not toy demo.
Go beyond chatbots: agents that publish, research, support, and operate — while you sleep.
Wire persistent memory so each agent learns its job. Skills grow with use.
Engineer guardrails so agents stay on-task. You approve what matters; pause anytime.
Battle-tested setup workflows. Full dev environment configured in minutes, not days.
Execution Prompts — AI auto-fixes terminal errors, dependencies, and config issues.
Launch with Firebase Auth, Firestore, and your first 3 agents pre-wired.
Master the workflow that turns one operator into a 30-agent crew across 10 channels.
Use the same Founder Console: One Pipe, Memory & Skills, The Crew.
18 products in 18 weeks isn't the ceiling — it's the floor of your OPC.
Learn directly from Nathan
Nathan Wang
30+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta
Who this course is for
Aspiring OPCs
Solo founders who refuse to hire and want leverage instead of headcount. Build the foundation of the first one-person unicorn.
PMs & Ops Tired of Bottleneck
Stop writing specs and waiting on engineers. Become the Operator of an agent crew that ships while you sleep.
Engineers Ready to Build a Crew
You can code. Now install the system — ClawBot + AgentOS + agents that ship 18 products in parallel, forever.
What's included
Live sessions
Learn directly from Nathan Wang in a real-time, interactive format.
The OPC Stack Starter
ClawBot configured + AgentOS workspace + your first 3 specialist agents pre-wired. The foundation of a one-person company — same architecture behind 18 shipped products and one full agent operated OPC.
Foundation modules included
New to agents? You'll get the Cohort 1 and 2 self-paced foundation modules to work through before live sessions — so you start at zero, not behind. Single-agent fundamentals, step by step.
The 18-Product Operating Cadence
Nathan's system for shipping in parallel. Idea → live AI product in 7 days, then 18 products in 18 weeks. The Founder Console workflow: One Pipe, Memory & Skills, The Crew.
AI Prompt & Architecture Library
Battle-tested prompts for memory, agents, and AI coding - the same library behind 18 shipped products.
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 operator community
A Slack group of fellow OPCs-in-training. Get feedback, share wins, and find collaborators for your agent crew.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
4 live sessions • 34 lessons • 7 projects
Week 1
🏗️ Module 1.1: The OPC Operating Model — Operator → Crew → Channels
🧠 Module 1.2: AgentOS Primitives — Memory, Skills, Tools, Sandbox
👨🏻💻 Project: Configure ClawBot + Hire Your First Agent
📚 Bonus: The Digital Restaurant Architecture (Cohort 1–2)
📚 Bonus: Environment Setup — The Boring Stuff (Cohort 1–2)
📚 Bonus: Project 1 — One-Pager Blueprint (Cohort 1–2)
📚 Bonus: Project 2 — Build Your Landing Page (Cohort 1–2)
Jun
12
Optional: Week 1 Q&A Session
Jun
13
Live Session 1: The OPC Operating Model + AgentOS Primitives
📚 Bonus: Live Session 1 Materials — Foundation & API Waiter
📚 Bonus: Project 3 — Frontend & Backend Build (Cohort 1–2)
Week 2
👥 Module 2: Designing Your Specialist Crew + Approval Gates
👨🏻💻 Project: Wire Your 3-Agent Crew (Publisher / Researcher / Support)
📚 Bonus: LangChain Setup — The Kitchen (Cohort 1–2)
Jun
20
Live Session 2: Designing Your Specialist Crew + Approval Gates
📚 Bonus: Live Session 2 Materials — Designing the Brain
📚 Bonus: Project 4 — AI Agents Intelligence (Cohort 1–2)
📚 Bonus: Reading — ReAct Paper (Reasoning + Acting in LLMs)
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.
Fri, Jun 12
2:00 PM—2:30 PM (UTC)
Sat, Jun 13
4:00 PM—6:00 PM (UTC)
Sat, Jun 20
4:00 PM—6:00 PM (UTC)
Sat, Jun 27
4:00 PM—6:00 PM (UTC)
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 Valley
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Frequently asked questions
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