AI Superpower 

AI Superpower Cohort 1

AI Superpower Cohort 2

AI Superpower Cohort 3

Design × Engineering Cohort 1

Workshop 1

AI Superpower Cohort 4

Build one real agent product on ClawBot + AgentOS — the proof that gets you hired as an FDE, or the foundation that gets you funded.

18 AI Products · 50,000+ Students

Nathan Wang

30+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta

AI Superpower: Build the Agent Project That Gets You Hired or Funded

Product Manager

Retiree

Full time NSF

Principal Product Manager

Senior ERP and Technology Manager

Product Designer

Apple

LinkedIn

Udemy

Forward Deployed Engineer is the hottest job in AI. Postings are up ~800%, and OpenAI and Anthropic pay $350–550K. The problem: everyone applying has the same resume. What gets the callback is a shipped agentic project — and almost nobody has one.This course gets you that project. In 3 weeks you’ll use ClawBot to stand up your agent crew in week one, learn the design principles behind AgentOS — the system that powers it, more advanced than OpenClaw or Hermes — and build your own product on top of it. No reinventing the wheel: you spend your three weeks on the proof, not the plumbing.That single artifact opens two doors. It’s the proof-of-work that gets you hired as an FDE — and the foundation that gets you funded as a one-person company (OPC).This isn’t a tutorial. The same AgentOS powers 18 products on ai-nate.com and my own OPC operations today — ~1B tokens/day in real production use. You don’t just build a thing; you learn how agentic systems are architected, which is exactly what an FDE interview screens for.One build. Two doors. Hired or funded.

Ship the agent project that gets you hired as an FDE — or funds your startup.

Stand Up Your Agent Crew on ClawBot — Day One

Learn the Design Behind AgentOS — Not Just the Tool

Build Your Own Product on Top of ClawBot + AgentOS

Walk Away With the Case Study That Gets You Hired

Own a Foundation You Can Turn Into a Startup

Job Seekers Targeting FDE &amp; AI RolesLand the hottest job in AI. Ship the agentic project that gets you the interview.

Engineers &amp; PMs Leveling UpYou can already build. Now learn how agent systems are architected — and prove you operate at that level.

Aspiring Founders &amp; OPCsTurn your build into a one-person company — the seed of a funded product when you’re ready.

Bring your idea, build with design taste and engineering skill, and ship a production-ready AI product.

18 AI Products in 18 Weeks | @Apple/Meta

18 AI Products in 18 Weeks | AI Engineer/TPM @ Apple & Meta

Principal Designer @Microsoft Ex-Spotify

Microsoft

Spotify

Boston Consulting Group (BCG)

Samsung

Yan Liu

Principal Designer@Microsoft, Ex-Spotify, BCG, Samsung, Top 1% Mentor Worldwide

Most AI courses teach you to build something that works. This one teaches you to build something people actually want to use — and ship it live.The Taste Gap: Your AI product works, but looks like every other ChatGPT wrapper. Users bounce.The Skill Gap: Your designs are beautiful, but you can't actually build them. Ideas stay in Figma.The Workflow Gap: You built a demo, but it doesn't do real work for you. It sits unused.This course closes all three gaps in 3 weeks.Co-taught by a Microsoft Principal product designer and an AI engineer and TPM at Apple/Meta who shipped 18 products in 18 weeks — you'll combine design taste, engineering skill, and a customized AI Agent workflow into one production-ready product.You bring the idea. We help you build, polish, and ship it.

Bring your idea. Ship it live in 3 weeks. Design taste meets engineering skill.

Your Own AI Agent

Design Taste

Engineering Skill

Customized OpenClaw Workflow

Ship to Production

Designers &amp; PMs — You make beautiful mocks but can't build them. After this course, you ship real products yourself.

Founders — You have the idea and domain insight. Bring it, leave with a live product — no full team needed.

Engineers &amp; AI Builders — Products work but feel generic. Learn design taste, build with OpenClaw, go zero to shipped.

Stop watching AI tutorials. Start shipping.

Ship your first agent in one morning

20+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta

Most people spend months watching AI tutorials. They understand the concepts. They still haven't shipped anything.This workshop changes that.In 2 hours, you'll build a real working AI agent — one that solves a problem you actually have. Not a toy demo. A deployed agent you can use starting today.I run 20+ AI agents that manage my social media, trade my portfolio, and run my entire business — with no team, while holding a day job and raising two kids. Every single one started the same way: one afternoon, one problem, one build.This is that afternoon.Attendees receive a promo code at the end to apply the full $497 workshop cost toward AI Superpower Cohort 3.

By the end of this workshop, you'll have:

A deployed, working AI agent

The 3-layer architecture pattern

Confidence to build more

PMs, Founders &amp; Operators — You have workflows you want to automate. You’ve seen the demos. Now you want to build one yourself.

Non-technical builders — You don’t code — and you don’t need to. If you can describe a problem, you can build an agent with Claude Code.

Engineers who want to move fast — You can code, but you want the 3-layer agent architecture pattern that lets you ship in hours, not weeks.

Build Agent Project that Lands an FDE Interview in 45mins

AI Builder · Staff TPM at Apple/Meta

Turn a messy ask into a scoped agent spec — the framing move FDEs make on day one with a client.

Scope a vague problem into an agent spec, FDE-style

Watch a multi-agent crew get wired, given tools and memory, and deployed live in AgentOS — start to finish.

Build & deploy a live multi-agent crew with AgentOS

Frame the finished build as a portfolio case study — the proof-of-work that turns a generic resume into a callback.

Package it as the case study recruiters want to see

Build a 5-Agent Crew in 30 Min with ClawBot + AgentOS

OPC Founder · 18 AI products in production · PhD Engineer/TPM Apple & Meta

Sign in on web + mobile, install AgentOS, and bring up your first agent. The runtime is the table — everything else stac

Install ClawBot + AgentOS — your crew runtime in 5 min

Spin up a researcher, a writer, a coder, a scheduler, and a publisher. Each gets its own skills, memory, and tools via A

Configure 5 specialist agents with skills + memory

Offer a concrete and concise explanation of how you will
help students understand and apply this lesson.


Chat your crew into action from ClawBot web + mobile

Watch Me Build & Deploy an AI Agent in 30 Minutes — Live

No slides. No theory. We open Claude Code, describe what we want in plain English, and deploy a working agent — live.

Build a real AI agent — live, from scratch, in 30 minutes

Frontend → Backend → AI Brain. The architecture behind all 18 products I've built. See it once, build anything.

The 3-layer pattern behind every agent I've shipped

90% of first agents break within a week. I'll show you the 3 architectural mistakes that kill them — and the production

Why agents fail in production — and the 3 fixes that prevent

How I Run 20+ AI Agents That Manage My Entire Life

Watch Nathan demo the actual agents: Trade AI executing trades, Creator AI publishing to 10 platforms, ClawBot managing daily operations — all running autonomously.

See the 20-agent system live — trading, publishing, managing ops

The 3-layer pattern (Frontend, Backend, AI Brain) that powers every agent — and why it scales from 1 to 20+.

Learn the architecture behind an AI agent army

Walk away with the exact stack, tools, and 3-week plan. Your first agent is the building block — same foundation behind all 18 shipped products.

Get the blueprint to build your first agent today

How Non-Coders Are Building the Best AI Agent Products

AI Builder Shipping 1 AI Agent/Week | PhD Engineer/TPM @ Apple and Meta

Principal Designer @Microsoft | Ex-Spotify, BCG, Samsung | Top 1% Mentor

Generic AI wrappers vs products with real taste (Cursor, Linear, Perplexity). The difference is not code. It is design.

The Taste Gap: why most AI products look generic

Yan takes a generic ChatGPT wrapper and redesigns the UX live: typography, spacing, loading states, and streaming text.

Watch a live redesign that transforms an AI product

Nathan shows what powers great AI UX: OpenClaw, streaming, function calling. Both sides make better products.

The technical magic behind beautiful AI products

OpenClaw: When Designers Code and Engineers Have Taste

AI Builder Shipping 1 AI Product/Week | PhD Engineer/TPM @ Apple and Meta

Watch Yan Liu (Microsoft Copilot designer) go from idea to functioning AI product using vibe coding tools

See a designer build a working AI app without code

Nathan demos his AI agent on OpenClaw: reads email, posts to social, manages calendar, ships code. All autonomous

See an AI agent that runs an entire daily workflow

Most AI products fail because they are built by specialists. You need to combine design taste with engineering speed

Learn directly from AI Superpower

AI Superpower

Courses

AI Superpower: Build the Agent Project That Gets You Hired or Funded

Design × Engineering: Building a High-Taste AI Agent with Vibe Coding

Workshops