Software can now read, write, decide, and act on its own, on a schedule, while you sleep. This is the calm, practical guide to building it yourself.

Most people meet AI as a chatbot: you ask, it answers, you forget. An agent is different. It has memory, tools, a schedule, and a goal, and it takes action in the real world on your behalf. Autonomous AI Agents with OpenClaw and Claude is a beginner's textbook for building and operating that kind of system, from a blank machine to a workhorse you supervise.

Written for the curious beginner, not the machine-learning PhD, it assumes no prior experience with agents and explains every moving part in plain English.

Inside, you'll learn how to:
Understand what an agent really is: model, harness, tools, and memory Set up a reliable, always-on environment with the open-source OpenClaw harness and Claude Master the core concepts: skills, MCPs, sub-agents, and the agent loop Climb the "trust ladder," granting an agent autonomy safely, one verified step at a time Build real systems: a morning brief, a knowledge vault, a content engine, and more Turn a working system into income by finding a vertical, pricing your work, and compounding a library of reusable parts
Across 25 chapters and eight parts, you'll move from first principles to systems you can actually run, with exercises, a glossary, and field-tested operating habits at every step.

The scarce skill is no longer execution. It's judgment. If you'd rather operate the new tools than be replaced by them, start here.