Learn directly from Nathan Wang
Go deeper with a course
AI Superpower: Build the Agent Project That Gets You Hired — or Funded

Nathan Wang
30+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta
Go deeper with a course
AI Superpower: Build the Agent Project That Gets You Hired — or Funded

Nathan Wang
30+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta
What you'll learn
Scope a vague problem into an agent spec, FDE-style
Turn a messy ask into a scoped agent spec — the framing move FDEs make on day one with a client.
Build & deploy a live multi-agent crew with AgentOS
Watch a multi-agent crew get wired, given tools and memory, and deployed live in AgentOS — start to finish.
Package it as the case study recruiters want to see
Frame the finished build as a portfolio case study — the proof-of-work that turns a generic resume into a callback.
Why this topic matters
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. In 30 minutes I'll build one live: scope a real problem, deploy a multi-agent crew that solves it, and package it as the case study recruiters ask for.
You'll learn from
Nathan Wang
OPC Founder · 18 AI products in production · PhD Engineer/TPM Apple & Meta
Building the operating stack for the One-Person Company. 30+ specialist agents running 24/7 on ClawBot + AgentOS, ~1B tokens/day in real production use. Teaches senior ICs how to install a crew without becoming a manager. 50,000+ students across Udemy and LinkedIn Learning. 18 AI products in 18 weeks to 4,700+ real users.