Build a Real AI Agent Product in 3 Weeks. Get Hired in AI or Launch Your OPC
Nathan Wang
18 AI Products · 50,000+ Students
Build a real AI agent product in 3 weeks. Land an AI job or launch your OPC.
AI is now the #1 priority at every company. If you have not built something real with AI agents yet, you are already behind.
In 3 weeks, you build one real AI agent product that is genuinely yours, running on your own domain. Not a demo. One artifact that opens three doors:
Get hired. Companies want hands-on agent experience (Forward Deployed Engineer is just one example). OpenAI, Anthropic, and DeepMind already have teams working with agents daily. That proof is what gets the callback.
Go solo. Build a one-person company (OPC) powered by agents. You stop hiring engineers and contractors. Your agents do the work and run the business for you.
Hedge your risk. One of the Magnificent 7 just cut 8,000+ existing roles and eliminated 7,000+ planned hires to fund AI agents. If your job is not AI-related, a small AI side business gets you hands-on now and ahead of the cuts.
You learn it across three pillars. Product: ship something people love, using ClawBot (2,000+ builders use it). System: AgentOS, the architecture behind 4,800+ users, taught from first principles so you can build your own. Business: the OPC playbook for automated distribution, GTM, and revenue.
What you’ll learn
Build one real AI agent product on ClawBot + AgentOS. The proof that gets you hired, the foundation for your own company.
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.
Use your build as the hands-on proof that lands an AI role. FDE is just one example.
Or grow it into a funded one-person company on an architecture that already scales.
Or run it as an AI side business that hedges your day-job risk.
Learn directly from Nathan
Nathan Wang
30+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta
Who this course is for
Career Changers Moving Into AI
Land an AI role. FDE is one path. Ship the agent project that gets you the interview.
Aspiring One-Person Company Founders
Build an OPC run by agents, not employees. They do the work and the business for you.
Hedging Against AI Layoffs
Start an AI side business now. Get hands-on before the next round of cuts reaches you.
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.
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 • 34 lessons • 7 projects
Week 1
🏗️ Module 1.1: The OPC Operating Model (Conductor → Crew → Channels)
🧠 Module 1.2: AgentOS Primitives — Memory, Skills, Tools, Sandbox
👨🏻💻 Project: Configure ClawBot + Hire Your First Agent
🛠️ Environment Setup: Your Build Toolchain + GitHub
🍽️ The Digital Restaurant: How Your Agent Product Is Architected
👨🏻💻 Project: Your Product One-Pager
👨🏻💻 Project: Build Your Landing Page + Auth
👨🏻💻 Project: Frontend + Backend API
Aug
28
Optional: Week 1 Q&A Session
Aug
29
Live Session 1: The OPC Operating Model + AgentOS Primitives
📎 Live Session 1 Materials: Foundation & API Waiter
Week 2
👥 Module 2: Designing Your Specialist Crew + Approval Gates
👨🏻💻 Project: Wire Your 3-Agent Crew (Publisher / Researcher / Support)
🍳 LangChain Setup: The Agent Kitchen
Sep
5
Live Session 2: Designing Your Specialist Crew + Approval Gates
📎 Live Session 2 Materials: Designing the Brain
👨🏻💻 Project: AI Agent Intelligence
📄 Reading: ReAct Paper (Reasoning + Acting in LLMs)
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
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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
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
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Save 20%+ when 2 or more teammates enroll in the same cohort.
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