AI Agent Design Patterns: A Practical Guide to Reliable LLM Workflows, RAG Systems, Tool Use, Memory, Planning, and Intelligent Automation
English | May 19, 2026 | ASIN: B0H2BW3NXM | 292 pages | Epub | 359.85 KB
AI agents are changing how software works.We are moving from systems that simply respond to commands to systems that can reason, plan, use tools, retrieve knowledge, collaborate, critique their own work, and complete complex tasks with minimal supervision.But most people trying to build AI agents face the same problems:Their agents hallucinate.Their workflows break under complexity.Their prompts become messy and unmanageable.Their multi agent systems turn chaotic.Their tools fail unpredictably.Their memory systems become unreliable.And their "smart assistant" works well in demos but collapses in real-world use.This book was written to solve those problems.Agentic Design Patterns is a practical guide to designing reliable, scalable, and intelligent AI agent systems using modern agent architecture principles and proven design patterns.Instead of vague theory and hype, this book focuses on how real agent systems are structured, coordinated, controlled, and improved.Inside this book, you will learn:* What AI agents actually are and how they differ from chatbots and automation systems* How large language models reason, fail, hallucinate, and recover* The core building blocks behind modern agentic systems* How to design agents that can plan, retrieve information, use tools, reflect, critique, and collaborate* The difference between simple agents, router agents, planner agents, ReAct systems, and multi agent workflows* How specialist agents work together in coordinated systems* Why memory, context management, and retrieval systems matter* How to design safer and more reliable agent architectures* Common AI agent failure modes and how to avoid them* Practical implementation checklists for building production quality systems* Real architectural thinking behind modern AI agentsThis book is designed for:* AI engineers and developers* Product managers and technical founders* Automation builders* Software architects* Researchers and AI enthusiasts* Anyone who wants to understand how modern AI agent systems are actually designedWhether you are building AI assistants, research agents, coding systems, workflow automations, customer support agents, or multi agent orchestration systems, this book gives you the mental models and practical frameworks needed to build with confidence.The future of software is agentic.This book helps you understand how to design it properly.
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