Problem Solved!: OpenClaw Workshop Part 1

​🦞 OpenClaw Architecture — A Phased Learning Journey by Organized AI

​Learn how to build your own personal AI assistant from the ground up — one layer at a time.

​OpenClaw is a local-first AI gateway that connects 20+ messaging channels (Telegram, Slack, Discord, WhatsApp, iMessage, and more) to a single AI agent running entirely on your machine. This isn't a cloud SaaS. It's your own Jarvis — private, configurable, and extensible.

​🗓 Agenda

​First Half — Learn It We'll walk through the full OpenClaw architecture together, phase by phase. Come ready to follow along — no install required for this half.

• ​Welcome — Mental model overview, learning mode selection

• ​Part 1 — Gateway + Channels (the routing layer, adapters, DM pairing)

• ​Part 2 — Agents + Sessions (the 6-step loop, thinking levels, session types)

• ​Part 3 — Skills + Nodes + Security (what it knows, what it can do, how it stays safe)

​~5 min break

​Second Half — Build It Hands-on time. Get OpenClaw running, connect a real channel, and write your first workspace skill.

• ​Setup — Install OpenClaw, clone repo, run pnpm setup, pick your learning mode

• ​Guided Build — Connect a channel, write a workspace skill, run openclaw doctor

• ​Open Floor — Live debugging, Q&A, share what you built

​What You'll Learn

​This session follows the OpenClaw Education curriculum — a 6-phase interactive learning journey:

​🔌 Phase 1 — The Gateway The WebSocket control plane at :18789. Sessions, channel adapters, tool routing, and hot-reload config.

​💬 Phase 2 — Channels 20+ messaging adapters. One internal protocol. The AI never knows which channel sent the message.

​🧠 Phase 3 — Agents + Sessions The Pi agent's 6-step loop: receive → think → tools → stream reply → update session. Thinking levels, session isolation, /compact, and agent-to-agent communication.

​🛠 Phase 4 — Skills + Nodes Skills = what your agent knows. Nodes = what your agent can do. macOS, iOS, and Android companion apps exposing camera, shell, location, and more via node.invoke.

​🔐 Phase 5 — Tailscale + Security Six security layers. Default-safe, opt-in to exposure. Tailscale Serve, Funnel with enforced auth, and Docker sandboxing for group sessions.

​🚀 Phase 6 — Deployment Deploy your own doc site to Cloudflare Pages, run a remote Linux gateway, or use Docker Compose or Nix. Leave with a running assistant.

​Three Learning Modes

​📖 Docs Only — No install needed. Diagrams and concept explainers. ⭐ Diagrams + Docs — Mermaid diagrams and annotated examples. Recommended starting point. 💻 Full Hands-On — Live Gateway + channel exercises. OpenClaw required.

​Prerequisites Node.js 22.16+, pnpm 8+, Git. OpenClaw optional depending on your learning mode.

​git clone https://github.com/Organized-AI/openclaw-education
cd openclaw-education && pnpm install && pnpm setup

​Follow the full guide → openclaw-education.pages.dev

​Your Presenter

​Jordan Hill is the founder of Organized AI and Blue Highlighted Text, an AI automation and consulting agency based in Austin, TX. He builds agentic infrastructure for real businesses — from conversion tracking pipelines to self-hosted AI assistants — and created the OpenClaw Education curriculum to make personal AI architecture accessible to anyone willing to get their hands dirty.

​Organized AI · The Lobster Way 🦞