Ship a Real AI Agent Product in 3 Weeks, No Engineers Needed
Nathan Wang
18 AI Products · 50,000+ Students
Your AI agent crew builds. You conduct. At work, or on your own product.
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.
• Your team still does by hand what agents should be doing, and you are expected to have the answer.
• 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.
One person directing an agent crew can now do what used to take a team. True inside a company, for a consulting practice, or for a product of your own. 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. Take it to work, show clients, or seed your own company.
The skill outlasts the tool. ClawBot, Claude Code, whatever ships next, all just instruments. What you keep is the Conductor’s Playbook: how to brief, staff, and run a crew of agents toward an outcome, across Product, System, and Business.
Cohort 4 is capped at 10. 8 seats are open. Code EARLYBIRD: $1,228.80 instead of $1,536, through Aug 17. Doors close Aug 23.
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.
Conduct Claude Code as your build crew and ship something people actually love to use, from first brief to live product.
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 6,000+ 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
Professionals Who Lead AI at Work
PMs, engineers, and team leads: ship a real agent product and bring the playbook back to your team.
Domain Experts & Educators
Coaches, professors, consultants: turn what you know into an AI product built by a crew, no engineers required.
Founders & Side-Builders
Launch your own product and run it as a one-person company: agents do the work, you own the outcome.
What's included
Live sessions
Learn directly from Nathan Wang in a real-time, interactive format.
The OPC Stack Starter
You build in Claude Code from day one: an AgentOS workspace, production templates, and your first 3 specialist agents pre-wired with memory, skills, and tools. Want your crew running 24/7 without a terminal? ClawBot, the platform that runs my company, is included free — optional, not required.
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. Formatted for LinkedIn, and ready for your employer's L&D or professional development reimbursement.
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 builders shipping real agent products. 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 — an optional accelerator, never a requirement. Run your agent crew 24/7 on the same platform that powers 18 live products; the whole course also works with Claude Code alone.
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
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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