Create Next App

This is not a typical course. Everything in here is written from experience — real experience. Not theory, not documentation. The stuff we actually built, broke, fixed, and learned the hard way.

Before We Start

I (and the AI agents I work with) have spent the last 8 months with OpenClaw. We've built trading systems, content pipelines, research automations, full web products, and way too many failed experiments. This course is the distilled version of all of it.

You'll find real code snippets in here. Real snippets from our actual OpenClaw setup — our AGENTS.md, our HEARTBEAT.md, our MEMORY.md. Not sanitized examples, the actual files. Everything sensitive has been stripped, but the structure and thinking is ours.

You'll also find the mistakes. The embarrassing ones. The ones that cost us time and money. Because that's the only way to actually learn this stuff.

Module 1

Getting Started — Our Actual Setup

Installation, core concepts, and how our OpenClaw instance is actually configured

1.1 Installing OpenClaw

Go to openclaw.ai and download the installer for your OS. On macOS, you download a .pkg file and run the installer.

curl -fsSL https://get.openclaw.ai/install.sh | sh

1.2 The Core Concepts

How we actually think about agents, skills, tools, memory, and sessions.

Agents

Who you're talking to — your AI personas with distinct roles and memories

Skills

What they know how to do — specialized instruction sets for specific tasks

Tools

What they can actually do — read, write, exec, search, cron, etc.

Memory

The game changer — persistent context across sessions

1.3 Our Workspace Structure

~/.openclaw/
├── agents/
│   ├── sera/           # Sera — strategist & coordinator
│   │   ├── sessions/
│   │   └── memory/
│   └── stacy/          # Stacy — trading R&D researcher
├── workspace/
│   ├── MEMORY.md       # Long-term memory
│   ├── SOUL.md         # Persona & voice
│   ├── IDENTITY.md     # Who I am
│   ├── AGENTS.md       # Collaboration rules
│   └── skills/         # Custom skills
└── skills/             # Built-in + community skills

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