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Production-Ready AI Agents: Build Tool-Using Assistants with Retrieval-Augmented Generation and Reliable Workflows
Paperback
Publisher: Independently Published
Published: May 17 2026
Pages: 390
Weight: 1.49
Height: 0.80 Width: 7.00 Depth: 10.00
Language: English
Are you curious about AI agents but worried the topic is too advanced, too technical, or too confusing to learn from scratch?
Production-Ready AI Agents is a friendly, step-by-step guide designed to help complete beginners understand how modern AI assistants work and how to build one with confidence. You do not need a computer science degree, years of coding experience, or deep knowledge of artificial intelligence to begin. This book starts gently, explains each idea in clear language, and guides you toward building a practical tool-using AI assistant one step at a time.
Inside, you will learn how AI agents can follow instructions, use tools, remember useful context, retrieve trusted information, and respond safely in real-world situations. Instead of overwhelming you with theory, this book focuses on practical understanding. You will build toward a real SupportOps-style agent that can answer questions, use retrieval-augmented generation, create support tickets, handle uncertainty, and escalate when human help is needed.
You will discover how to:
Understand what AI agents are and how they differ from simple chatbots
Build agent behavior with clear instructions, boundaries, tools, memory, and guardrails
Use Python, FastAPI, Postgres, and vector storage as part of a practical AI application stack
Apply retrieval-augmented generation, also known as RAG, to create grounded and trustworthy answers
Design safe tool-using AI assistants that avoid guessing, misuse, and overconfidence
Add sessions, logging, tracing, evaluation, debugging, and production-readiness practices
Think like a practical AI builder, not just a prompt writer
This book is written especially for beginners who want reassurance as much as instruction. Mistakes are treated as part of the learning process, not as failure. Each chapter builds gradually, helping you celebrate small wins while developing real technical confidence.
Whether you want to explore AI agent engineering, build useful AI workflow automation, understand RAG applications, or create production-ready AI apps with Python, this book gives you a supportive path forward.
Start your AI journey today and build your first practical, reliable, tool-using AI assistant with confidence.
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