Building Agentic AI Systems Practical Architectures, Tools & Multi-Agent Collaboration

Building Agentic AI Systems is the second book in the Agentic AI Series, designed for developers, AI engineers, and innovators who want to move beyond single chatbots and start creating real-world, production-ready AI agents.
This hands-on guide takes you from theory to practice, showing you how to design, build, and optimize agentic AI systems that can use tools, interact with APIs, collaborate in teams, and scale to enterprise-grade solutions. What You'll LearnMulti-Agent Systems - How to design teams of agents that collaborate, negotiate, and specialize in different roles.Tool-Using Agents - Enable your AI to interact with databases, APIs, and code execution environments.Memory Systems - Implement short-term, long-term, and episodic memory for continuity and intelligence.Multi-Modal Agents - Go beyond text: integrate vision, speech, and real-world actions.Human-in-the-Loop Design - Keep humans in control with safety checkpoints, approvals, and transparency.Optimization - Reduce latency, cut costs, and minimize hallucinations in agent workflows. Hands-On ProjectsResearch-Writer-Reviewer Team → Build a collaborative writing system powered by three specialized agents.Voice-Based Productivity Assistant → Create a personal AI that listens, speaks, and executes tasks.Retail Recommender Agent → Develop a database-driven agent that delivers real-time product recommendations.Each project comes with step-by-step instructions, code snippets, and debugging tips to help you learn by doing.
Whether you're a developer building your first tool-using agent, an AI startup founder designing scalable systems, or an engineer preparing for enterprise deployment, this book will give you the skills and resources.

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