Your One-Person Company in 3 Weeks: A Real AI Product Run by Your Agent Crews
Nathan Wang
18 AI Products · 50,000+ Students
Build a real AI agent product in 3 weeks and run it as your one-person company.
Is this you?
• You have watched 50 AI demos and built nothing you can point to.
• You are stuck in endless ChatGPT threads instead of putting agents to work while you sleep.
• You keep waiting for the "right" tool, so the toolchain changes but your output does not.
• You want something of your own, but "raise money, hire a team" feels like the wrong decade.
The problem is not AI, and it is not you. Nobody taught you to conduct it.
For the first time, one person can run a real company. The bottleneck was never ambition. It was headcount, and agents just removed it.
In 3 weeks you build one real AI agent product, genuinely yours, on your own domain. Not a demo. It is the first thing your one-person company ships, run by the agent crew that is the company.
However you start, the engine is the same: go full-time as your OPC, productize what you know, or start on the side until the crew replaces your day job.
The skill outlasts the tool. ClawBot, Claude Code, whatever ships next, these are just instruments. What you keep is the Conductor's Playbook: how to brief, staff, and run a crew of agents toward an outcome, across three pillars: Product, System, and Business.
What you’ll learn
The Conductor's Playbook: the six moves you'll own by the end. The tools change every few months; these are what you keep.
Use ClawBot, the product 2,000+ AI builders rely on, to design and ship something people actually love to use.
Find a problem worth solving and build real product sense and taste, not just another demo.
Stand up a working multi-agent crew in week one and start running real tasks right away.
Go under the hood of AgentOS, the architecture behind 4,800+ active users and all of my products.
Understand agent systems from first principles: memory, skills, tools, and orchestration.
Learn it well enough to build and expand your own, taught directly by the person who built it.
Turn your build into an automated business that agents operate, not employees or contractors.
Set up the OPC workflow: distribution channels, GTM, and how revenue actually gets generated.
The same playbook behind one person aiming at a billion-dollar company.
Launch a live multi-agent product on your own domain with auth, data, and AI logic working end to end.
Not a localhost demo and not a toy: something real you can show, use, and keep.
Own your code, your data, and your deployment. No platform lock-in.
Move work between agents yourself: the @-mention that passes a research result to your writer. You are the pipeline.
Then automate the handoffs so the crew runs a workflow end to end, without you in the middle of every step.
This is orchestration: the difference between a pile of agents and a crew that actually ships.
Put your agents on a loop so they act on their own, on a schedule or a trigger, not only when you prompt them.
Autonomy is the engine, not a nice-to-have. A heartbeat is what turns a tool into a teammate.
Wake up to work already done: research gathered, drafts written, your product moving while you slept.
Learn directly from Nathan
Nathan Wang
Founder of AI-Nate, a one-person company run by 30+ AI agents | 18 products in 18 weeks | PhD, Apple & Meta
Who this course is for
Aspiring One-Person Company Founders
Build an OPC run by agents, not employees. They do the work and the business for you.
Domain Experts
Coaches, creators, consultants, educators: turn what you know into an AI product run by a crew, not a team you hire.
Side-Builders & Solopreneurs
Start your OPC on nights and weekends. Let the crew run it until it replaces the day job.
What's included
Live sessions
Learn directly from Nathan Wang in a real-time, interactive format.
The OPC Stack Starter
Most courses hand you a blank Cursor window. You start on the platform that runs my company: ClawBot configured, your AgentOS workspace, and your first 3 specialist agents pre-wired with memory, skills, and tools. The build platform behind 18 shipped products and one fully agent-operated OPC. Build on day one instead of fighting boilerplate.
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, the working foundation of your one-person company. Share it on LinkedIn or anywhere you want.
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.
Free ClawBot Subscription During the Cohort
Full ClawBot access for the entire cohort, a $200 value, included free. Build and run your agent crew on the same platform that powers 18 live products.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
4 live sessions • 41 lessons • 7 projects
Week 1
Aug
28
Optional: Week 1 Q&A Session
Aug
29
Live Session 1: The OPC Operating Model + AgentOS Primitives
📍 Start Here: Your Week 1 Checklist
🏗️ Module 1.1: The OPC Operating Model (Conductor → Crew → Channels) · ~20 min
🧠 Module 1.2: AgentOS Primitives (Memory, Skills, Tools, Sandbox) · ~20 min
👨🏻💻 Project: Configure ClawBot + Hire Your First Agent · ~1 hr
🛠️ Environment Setup: Your Build Toolchain + GitHub · ~1 hr
🍽️ The Digital Restaurant: How Your Agent Product Is Architected · ~30 min
👨🏻💻 Project: Your Product One-Pager · Self-paced · ~45 min
👨🏻💻 Project: Build Your Landing Page + Auth · Self-paced · ~1-2 hr
📎 Live Session 1 Materials: Foundation & API Waiter (Cohort 1 & 2)
👨🏻💻 Project: Frontend + Backend API · Self-paced · ~2-3 hr
Week 2
Sep
5
Live Session 2: Designing Your Specialist Crew + Approval Gates
👥 Module 2: Designing Your Specialist Crew + Approval Gates
👨🏻💻 Project: Wire Your 3-Agent Crew (Content / Research / Support)
🦾 ClawBot + AgentOS: Build a Customized Agent
💓 The Heartbeat: Make Your Agent Proactive
🧠 Choosing Your Agent Harness
🍳 LangChain Setup: The Agent Kitchen
📄 Reading: ReAct Paper (Reasoning + Acting in LLMs)
📎 Live Session 2 Extra Materials: Designing the Brain
👨🏻💻 Project: AI Agent Intelligence
Free resource
Build a 5-Agent Crew in 30 Min with ClawBot + AgentOS
Install ClawBot + AgentOS — your crew runtime in 5 min
Sign in on web + mobile, install AgentOS, and bring up your first agent. The runtime is the table — everything else stac
Configure 5 specialist agents with skills + memory
Spin up a researcher, a writer, a coder, a scheduler, and a publisher. Each gets its own skills, memory, and tools via A
Chat your crew into action from ClawBot web + mobile
Offer a concrete and concise explanation of how you will help students understand and apply this lesson.
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, Aug 28
2:00 PM—2:30 PM (UTC)
Sat, Aug 29
3:00 PM—5:00 PM (UTC)
Sat, Sep 5
3:00 PM—5:00 PM (UTC)
Sat, Sep 12
3:00 PM—5:00 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
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
Week 3 build. AI turns weather forecasts into inventory decisions. Live on Render.
Student Showcase: Sowmya's Curate — Your Reading, Optimized
Week 3 build. AI dedupes your authors + topics into one daily briefing. curate.sowmyamahad.com
Frequently asked questions
Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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