LESSON 3
Designing Your Agent-First Operating Model
Stop doing the work. Start designing the system. We pull back the curtain on our own 5-person AI team (Alfred, Big Nate, Mini Nate, Vera, and Kosal) to show how one human orchestrates an entire department.
THE ARCHITECTURE
Role-Based Agent Design
Each AI agent has a specialty. Like a well-run team, the CEO orchestrates while specialists execute. The secret is clear role boundaries and file-based handoffs.
Meet the Crew
- 🧑💼 Kosal (CEO): Direction, video, quality control — the decision-maker
- 🎯 Nate (Dev): Full-stack builds, deployment, testing — the builder
- 📝 Alfred (Content): Marketing, emails, case studies — the wordsmith
- 🔮 Vera (Research): Deep research, sourced statistics — the intelligence layer
The Handoff Protocol
- Step 1: CEO sets direction in a markdown brief
- Step 2: QB breaks it down into task assignments
- Step 3: Agents execute and pass results via files
- Step 4: CEO approves → deploy
THE RESULT
What This System Produces
We didn't just teach this model — we used it to build this entire course platform. One human. Four AI agents. Five days. Results that would normally take a 10-person team three months.
100+
pages built in 5 days with a team of AI agents
Source: Full Site Audit
31
interactive lessons with unique images for each slide
Source: KeepYourEdgeAI
~$200
per month — total cost of the AI agent team
Source: Actual Spend
