Learn AI Agent Orchestration
From simple loops to sophisticated multi-agent systems.
What is 8me?
8me teaches the fundamentals of AI agent orchestration - how to make AI systems that reliably complete tasks through persistent, verified loops.
The Core Idea
Success = Imperfect AI × Persistent Loop × External Verification
AI models aren’t perfect. But when you combine them with:
- Loops that keep trying
- Verification that confirms success
- Safety limits that prevent runaway
You get reliable automation.
Start Learning
| 🚀 Quick Start | New to loops? Your First Loop Tutorial |
| 📚 Concepts | Understand the theory: Orchestration Concepts |
| 🧪 Labs | Hands-on practice: Lab Curriculum (15 progressive labs) |
| 💻 Code | Working implementations: 8me Repository |
Tier Overview
| Tier | What You’ll Learn |
|---|---|
| 0-1 | Basic loops, verification, state management |
| 2 | Claude Code skill integration |
| 3 | MCP server development |
| 3.5 | Orchestration patterns and providers |
| 4-5 | Production systems and best practices |
Why “Ralph Wiggum”?
The name comes from a methodology popularized by Geoffrey Huntley: loop persistently until the job is done. Like the Simpsons character who doesn’t give up, this approach succeeds through determination rather than perfection.
For the AI nerds: This was the common approach before sophisticated orchestration frameworks. Sometimes the old ways persist because they work.
Featured
Coding Flow State - SPINE
A musical tribute to context engineering and autonomous loops.
Start Learning → · View Code →
Part of the 8me autonomous loop toolkit & Adaptivearts.ai™ initiative