1,775 views in 3 days. 12 AI employees. One MacBook Pro. A self-improving system that rewrites its own rules after every video. And zero new customers from any of it.

In this episode, Lennox breaks down multi-agent context engineering — the framework that replaced prompt engineering. You'll hear about the 12-agent pipeline architecture, the self-improving feedback loop (Aria, employee #11, rewrites directives for every other agent based on real analytics), and the uncomfortable truth: the best content system he's ever built has a 0% conversion rate. $1,753 MRR. $293 take-home. $32K in savings. 10 months of runway.

This is what building with AI as a non-technical founder actually looks like — real numbers, real architecture, real failure. The system is self-correcting. The funnel is not.

Chapter Markers

00:00 The paradox — 1,775 views, $0 customers
 00:25 The breakout video numbers
 01:50 What is context engineering
 03:30 12 specialists beat 1 genius
 05:25 The self-improving loop (Aria)
 07:05 The broken funnel — real numbers
 08:20 What i'm doing about it

Show Notes

Threadify — Context engineering for social media content
Claude Code — AI agent orchestration
Martin Fowler's Context Engineering for Coding Agents
Google ADK — Agent Development Kit with tiered context architecture
"5M views in one month. AND I landed a book deal." — Dana Skalin