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

Hosted by Nathan Wang

Sat, Apr 4, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

201 students

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AI Superpower: Vibe Code Your AI Agent in 3 Weeks
Nathan Wang
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What you'll learn

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

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

Learn the architecture behind an AI agent army

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

Get the blueprint to build your first agent today

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.

Why this topic matters

I run 20+ AI agents 24/7. They trade my stocks, publish across 10 social platforms, extract video clips, and manage operations — while I sleep, parent two kids, and hold a day job. In 30 minutes, I'll show you the exact system: how the agents are built, how they coordinate, and how you can start building your first one today. This is the building block of an agent army.

You'll learn from

Nathan Wang

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

I run 20+ AI agents 24/7. They trade my stocks, publish content across 10 platforms, extract video clips, and manage operations — while I sleep. Before that, 15+ years at Apple, Meta, and LinkedIn.

50,000+ students across Udemy and LinkedIn Learning. 18 AI products in 18 weeks to 2,500+ real users.

In this session, I'll show you the exact system behind my 20-agent army — and how to build your first one.


Career highlights:

  • Runs 20+ autonomous AI agents 24/7 — trading stocks, publishing content, managing 10 social platforms.
  • Shipped 18 AI products in 18 weeks to 2,500+ users: ClawBot, Trade AI, Creator AI.
  • Taught 50,000+ students via Udemy and LinkedIn Learning.
  • 15+ years at Apple, Meta, LinkedIn.
  • Building a memory-first AI agent OS.

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