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{ "item_title" : "The Agentic AI Engineering Bible", "item_author" : [" Richard Boozman "], "item_description" : "AI is moving beyond simple chatbots. The next generation of intelligent software can reason, retrieve information, use external tools, coordinate tasks, and carry complex workflows from instruction to execution.The Agentic AI Engineering Bible is a practical, beginner-friendly guide for developers, technical founders, automation specialists, and ambitious learners who want to understand how modern agent systems are actually designed and built.Rather than stopping at theory, this book focuses on the architecture, components, and workflows behind useful autonomous applications.Inside, you will discover: How intelligent agent architectures differ from traditional conversational applicationsHow planning, memory, reasoning, tool use, and task execution work togetherHow retrieval pipelines, embeddings, vector databases, chunking, and semantic search support knowledge-aware applicationsHow Python can be used to create flexible agent workflows and integrationsHow MCP concepts enable structured communication between models, tools, resources, and external servicesHow n8n can connect intelligent workflows with APIs, databases, webhooks, and business processesHow multiple specialized agents can coordinate, delegate, and collaborate on larger tasksHow frameworks and orchestration patterns can simplify complex agent developmentHow evaluation, tracing, observability, guardrails, and testing improve reliabilityHow deployment, containers, hosting, scaling, and production considerations affect real applicationsHow to move from experimental prototypes toward dependable automation systemsBuilding powerful agent systems requires more than connecting a language model to a prompt.Effective solutions must manage context, retrieve the right information, decide when to call external capabilities, handle failures, preserve useful state, coordinate multiple components, and produce results that can be evaluated.This book helps you understand those moving parts without burying you beneath unnecessary complexity.You will explore how modern development frameworks, retrieval systems, workflow platforms, external integrations, and orchestration strategies can work together to create practical applications.Whether you want to develop research assistants, internal business tools, knowledge systems, automated operations, customer workflows, developer utilities, or intelligent SaaS products, the principles in this book provide a foundation for designing more capable systems.The future of AI development is not just about generating answers.It is about creating software that can understand objectives, access the right resources, coordinate actions, and complete useful work.Open The Agentic AI Engineering Bible and start developing the skills needed to architect, build, evaluate, and deploy the next generation of intelligent agent systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/817/707/9798177079301_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Agentic AI Engineering Bible|Richard Boozman

The Agentic AI Engineering Bible : A Practical Guide to Building AI Agents with Python, RAG, MCP, n8n, MultiAgent Systems, and Real-World Automation

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Overview

AI is moving beyond simple chatbots. The next generation of intelligent software can reason, retrieve information, use external tools, coordinate tasks, and carry complex workflows from instruction to execution.

The Agentic AI Engineering Bible is a practical, beginner-friendly guide for developers, technical founders, automation specialists, and ambitious learners who want to understand how modern agent systems are actually designed and built.

Rather than stopping at theory, this book focuses on the architecture, components, and workflows behind useful autonomous applications.

Inside, you will discover:

  • How intelligent agent architectures differ from traditional conversational applications
  • How planning, memory, reasoning, tool use, and task execution work together
  • How retrieval pipelines, embeddings, vector databases, chunking, and semantic search support knowledge-aware applications
  • How Python can be used to create flexible agent workflows and integrations
  • How MCP concepts enable structured communication between models, tools, resources, and external services
  • How n8n can connect intelligent workflows with APIs, databases, webhooks, and business processes
  • How multiple specialized agents can coordinate, delegate, and collaborate on larger tasks
  • How frameworks and orchestration patterns can simplify complex agent development
  • How evaluation, tracing, observability, guardrails, and testing improve reliability
  • How deployment, containers, hosting, scaling, and production considerations affect real applications
  • How to move from experimental prototypes toward dependable automation systems

Building powerful agent systems requires more than connecting a language model to a prompt.

Effective solutions must manage context, retrieve the right information, decide when to call external capabilities, handle failures, preserve useful state, coordinate multiple components, and produce results that can be evaluated.

This book helps you understand those moving parts without burying you beneath unnecessary complexity.

You will explore how modern development frameworks, retrieval systems, workflow platforms, external integrations, and orchestration strategies can work together to create practical applications.

Whether you want to develop research assistants, internal business tools, knowledge systems, automated operations, customer workflows, developer utilities, or intelligent SaaS products, the principles in this book provide a foundation for designing more capable systems.

The future of AI development is not just about generating answers.

It is about creating software that can understand objectives, access the right resources, coordinate actions, and complete useful work.

Open The Agentic AI Engineering Bible and start developing the skills needed to architect, build, evaluate, and deploy the next generation of intelligent agent systems.

This item is Non-Returnable

Details

  • ISBN-13: 9798177079301
  • ISBN-10: 9798177079301
  • Publisher: Independently Published
  • Publish Date: October 2026
  • Dimensions: 11 x 8.5 x 1.09 inches
  • Shipping Weight: 2.96 pounds
  • Page Count: 420

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