Most AI books teach concepts in isolation - a chapter on APIs, a chapter on RAG, a chapter on agents. You finish knowing the pieces but not how they fit together. This book takes a different approach. You build a real, working AI agent from the ground up, one layer at a time. Starting from an empty directory, you create a simplified version of OpenClaw, a personal AI agent - with tool use, skills, MCP integration, long-term memory, heartbeat scheduling, sub-agents, and a web UI. Fourteen chapters, each introducing one AI concept and one piece of working code. By the end, you won't just understand what an AI agent does - you'll understand why it's designed the way it is, because you'll have made the same design decisions yourself. The simplified version of OpenClaw isn't just a learning exercise - it's a foundation you keep. Want your agent to monitor your email? Add a channel. Want it to manage your calendar? Write a skill. Want it to use a different LLM? Swap the provider. Every piece is yours to modify.
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