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.

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.

Teams generate ideas and tasks in chats, then lose them in the scroll. This course shows how to add Notes Agent to an existing OpenClaw setup so Telegram activity lands in a structured Obsidian vault with confirmation before every write. You will see what it captures, how the install works, and how to start using it fast. Try it, share feedback, and tell us what you want us to improve next.

This classroom teaches you how to design, build, and run a CTO Agent in OpenClaw from idea to production-ready workflow. You will learn the core concepts behind agent orchestration, task intake, delegation to Coder/Tester sub-agents, guardrails, and quality gates. The focus is practical: clear architecture, reusable prompts, configuration patterns, and real implementation flow. By the end, you will be able to turn plain-language requests into structured agent delivery pipelines with confidence.