Designing AI Agent Systems (Paperback)

Akshay Panda

ISBN 13: 9798180428578

Published by Independently Published, 2026

About this Item

Paperback. Most AI books teach prompts.This book teaches systemsAI 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 LearnIn this book you'll learn: What makes a system truly agenticAgent architecture design patternsMemory systems and retrieval architecturesTool-using AI agentsMulti-agent orchestration strategiesReliability, observability, and safety engineeringProduction deployment patternsReal-world automation blueprintsResearch, content, business, productivity, and sales agent systemsWho This Book Is ForThis book is ideal for: Software EngineersAI EngineersArchitectsTechnical FoundersProduct LeadersAI ConsultantsWhether 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798180428578

Bibliographic Details

• Title: Designing AI Agent Systems (Paperback)
• Publisher: Independently Published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798180428578
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.