This classroom turns OpenClaw setup into a clear, repeatable checklist: ready-to-run scripts, simple explanations, and proven fixes for the most common deployment errors. Outcome: OpenClaw running 24/7 on an inexpensive VPS or your local machine, a secure way to access the dashboard, and a straightforward workflow to update configs and versions with confidence.

We share the AI agents we actually use every day — each article is one agent with a clear description of what it does, where it helps, and a step-by-step setup guide so you can run it yourself in minutes. New agents drop regularly as we build and test more. Grab what fits your workflow, skip what doesn't, and suggest what you want to see next.

OpenClaw: Smart Spend Lab is a practical course for founders, operators, and non-technical professionals who want to use OpenClaw without overspending. You’ll learn how to reduce token costs, build stable fallback chains, and run agents on low-cost and free model routes with predictable results. Each unit is short, reproducible, and focused on one clear outcome you can apply the same day. By the end, you’ll have a working cost-control playbook for running OpenClaw responsibly at scale.

You built the agent. Now make it production-ready. This classroom picks up where "From Zero to Running" left off. No more demos — here we harden, optimize, and scale. Docker isolation, model cost routing, monitoring, fleet management, and the kind of config that lets you sleep while your agents work. Each article solves a real production problem. Step-by-step, tested, copy-pasteable — same style, higher stakes.