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This intro video sets the stage for the OpenClaw series — covering what to expect, how the series is organized, and how to approach building your own multi-agent AI setup. Use the provided guides, cheat sheets, and system snapshots as your starting point to explore and build your own agent workflows.
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Do you need a dedicated machine for OpenClaw? Does it have to be a Mac Mini? What are the unique configs we'll need to setup?
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Walk through three methods for remotely accessing and managing your OpenClaw Mac Mini — screen sharing, SSH, and Tailscale VPN — plus a custom iTerm2 profile with tmux for managing multiple processes. Use the provided configuration guide as your starting point for setting up reliable remote access to your own agent machine.
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Learn how to use Dropbox with symlinks to sync your OpenClaw files — skills, configs, workspace, and BRAIN folder — across all your Macs while keeping personal files completely separate. Use the symlinking approach and dual-Dropbox-account strategy as your starting point for seamless file access to your own agent system.
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See how to configure a four-agent team in OpenClaw with distinct roles, personas, and model assignments — all sharing a single workspace for simplicity. Use the multi-agent configuration guide and shared-workspace approach as your starting point for designing your own agent team.
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Walk through setting up Telegram bots for each OpenClaw agent and creating distinct personas with custom avatars using Claude and Google Gemini. Use the bot setup process, persona development approach, and security pairing tips as your starting point for bringing your own agent team to life.
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Brian shows how he gives his OpenClaw agents their own email, Dropbox, and GitHub accounts — plus how to configure them to use Chrome autonomously for tasks like checking email. Use his account setup approach and [ directives as your starting point for giving your own agent team independent access to the services they need.
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Find out whether you actually need a custom dashboard app for OpenClaw, and what the upcoming plan-and-build series will cover — from product design and architecture to deployment with Cloudflare Tunnel. Use the provided planning docs, sample code, and lessons learned as your starting point for building your own agent control plane.
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Get a full walkthrough of the current dashboard app, including which features matter and which are getting cut — especially the recurring task system and OpenClaw integration. Use these V1 lessons and feature decisions as your starting point for planning your own agent dashboard.
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Walk through the full planning package for building the OpenClaw dashboard app — milestone-based prompts, tech stack docs, and sample integration code from the V1. Use this starter kit and development workflow as your starting point for planning and building your own agent control plane with Claude Code.
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Vercel's agent-browser is a CLI-based, headless browser automation tool that's significantly faster and more token-efficient than the Chrome integration — and it can capture screenshots and video as proof that the feature actually works. You'll see it in action building and visually verifying a confetti effect on the to-do list app, producing shareable artifacts that make code review easier.
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The Claude Code Chrome integration lets the agent launch your browser and click around like a real user, but it's slow and can be unreliable — especially with screenshots. It's worth knowing about for quick checks, but the next lesson covers a faster, more practical tool for browser testing in your dev workflow.
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Without tests, the agent just writes code and re-reads it, saying "looks good to me" — but that doesn't mean it actually works. TDD gives the agent an objective pass/fail signal, turning testing into an alignment strategy that builds confidence into the process alongside your specs.
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Agent teams let you spawn multiple Claude Code sessions that share a task list, coordinate through a mailbox system, and work in parallel on complex features. Brian demos the full workflow by having three agents — backend, frontend, and tester — collaborate on building a project dashboard from scratch.
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Brian demonstrates building a custom code review subagent from scratch using Claude Code's agent builder, covering tool selection, model choice, and agent memory configuration. He then runs it against a real feature to show the full workflow from creation to structured review output.
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Subagents give Claude Code the ability to delegate work to separate context windows, keeping your main session clean while getting more done. This lesson covers the built-in subagents, shows delegation in action on a real feature build, and walks through creating your own custom agents.
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Build two custom Claude Code Skills from scratch — a simple one that spins up new projects from a GitHub template, and an advanced one with a bundled script that generates formatted changelogs from your git commit history.
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Walk through using a GitHub repository template to spin up new projects with a pre-configured tech stack — first manually through the dashboard, then with the GitHub CLI command that we'll turn into a reusable Claude Code Skill.
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Understand what Claude Code Skills are, how they're structured, and how the invocation model works — from automatic discovery based on description matching to manual slash command triggers. Learn the essential concepts before building your first custom Skill.
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Claude Code automatically generates a tracked task list with dependencies from your plan or spec, and you can configure it to persist across sessions — so even multi-day projects pick up right where you left off.
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