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Created by Shaunak Ghosh
You’ll build an internal, operator-grade model of how OpenClaw runs work: layered agent loops, event triggers, queueing, multi-agent coordination, and model routing. You’ll also learn how to constrain capability with sandboxing and how to harden deployments with approval gates, isolation, and audit trails.
5 modules • Each builds on the previous one
Focus on how OpenClaw plans, executes, and persists work across sessions, including where state lives and how tool/skill calls are sequenced for reliable task completion.
Learn advanced skill design in OpenClaw, emphasizing capability boundaries, sandbox execution, and safe access to external services without over-privileging the agent.
Explore how OpenClaw coordinates work across messaging channels and event triggers, including patterns for routing tasks, handling concurrency, and preventing duplicate or looping actions.
Learn how to select and route between models in OpenClaw for cost, latency, and reliability, and how to evaluate changes so agent behavior improves measurably rather than anecdotally.
Cover production-grade guardrails for OpenClaw, including human approvals, auditability, prompt-injection defenses, and run-level observability to support incident response and continuous improvement.
Begin your learning journey
In-video quizzes and scaffolded content to maximize retention.