Designing AI Agent Systems: A Practical Guide to Multi-Agent Architectures, Autonomous Workflows, and Intelligent AI Applications - Softcover

Panda, Akshay

9798180428578: Designing AI Agent Systems: A Practical Guide to Multi-Agent Architectures, Autonomous Workflows, and Intelligent AI Applications

Softcover

ISBN 13: 9798180428578

Publisher: Independently published, 2026

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Most AI books teach prompts.

This book teaches systems

AI agents are no longer simple chatbots. Modern AI systems can reason, plan, use tools, collaborate with other agents, and execute complex workflows with minimal human intervention. Building these systems requires a new engineering discipline—one that combines software architecture, orchestration, memory design, reliability engineering, and autonomous decision-making.

What Readers Learn

In this book you'll learn:
What makes a system truly agentic
Agent architecture design patterns
Memory systems and retrieval architectures
Tool-using AI agents
Multi-agent orchestration strategies
Reliability, observability, and safety engineering
Production deployment patterns
Real-world automation blueprints
Research, content, business, productivity, and sales agent systems

Who This Book Is For

This book is ideal for:
Software Engineers
AI Engineers
Architects
Technical Founders
Product Leaders
AI Consultants

Whether you're building your first autonomous workflow or designing enterprise-scale multi-agent systems, this book provides the practical frameworks, implementation patterns, and production lessons needed to build reliable AI agent systems that work beyond the demo.

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