Description
Price: $29.99 - $2.99
(as of Jun 29, 2026 16:38:07 UTC – Details)
AI is moving fast. But most people are still stuck at the prompt level.
They can ask a chatbot questions.
They can generate text.
They can test a few tools.
But they do not know how to build real AI systems that use documents, tools, memory, workflows, evaluation, guardrails, and production-ready controls.
Agentic AI Builder Blueprint 2026 gives you the practical roadmap.
This beginner-friendly but serious builder guide shows you how modern AI applications actually work behind the scenes. You will learn how to design AI agents, build RAG knowledge systems, connect models to tools and MCP-style workflows, create structured outputs, automate business processes safely, evaluate AI quality, and move from demo to production.
Inside, you will learn how to:
Build practical AI agents that plan, use tools, check results, and stop safely
Create RAG apps that retrieve trusted information and answer with source grounding
Use MCP-style workflows to connect AI systems to tools, files, APIs, databases, and business processes
Design prompt and context systems that are clear, reusable, and testable
Use structured outputs, JSON, and function calling to turn AI responses into software-ready data
Build evaluation pipelines that test hallucinations, accuracy, safety, cost, latency, and trust
Design guardrails, human approval steps, monitoring, and production workflows
Create real-world AI projects, including knowledge base assistants, research agents, document automation agents, data extraction pipelines, client communication assistants, and AI product copilots
This is not a book about hype.
This is a builder’s guide for people who want to understand how AI systems are actually designed.
You do not need to be a machine learning researcher to use this book. You do not need to train foundation models from scratch. You need a clear blueprint for turning powerful models into useful applications.
Agentic AI Builder Blueprint 2026 helps you think like an AI systems builder.
You will learn what to build, when to use RAG, when to use tools, when to add memory, when to keep a human in the loop, how to evaluate outputs, and how to avoid the beginner mistakes that make AI projects fail.
If you want to move beyond simple prompts and start building practical AI agents, workflow automations, knowledge systems, and production-ready LLM tools, this book gives you the map.
Build useful intelligence under control.
From the Publisher
Build Real AI Agents, RAG Apps, MCP Workflows, and Automation Systems Step by Step
Build Practical AI Agents and Production-Ready AI Workflows Step by Step
Go beyond basic prompts and learn how modern AI systems are built. This guide walks readers through AI agents, RAG apps, MCP workflows, automation systems, evaluation pipelines, and LLM tools in a clear, practical way.
Designed for builders, students, entrepreneurs, and professionals, this book helps turn confusing AI concepts into structured workflows you can understand, test, improve, and apply with confidence.
From AI Concepts to Real Builder Workflows
Learn the AI Builder Stack
Understand the core pieces behind modern AI systems, including agents, prompts, RAG, vector databases, memory, APIs, tools, and automation workflows.
Build Agentic Workflows
See how AI agents can plan tasks, retrieve information, call tools, process documents, connect systems, and support practical automation use cases.
Evaluate and Improve Outputs
Learn how to test AI responses, check reliability, reduce errors, review performance, and improve workflows before using them in real projects.
ASIN : B0H66G8CL8
Accessibility : Learn more
Publication date : June 20, 2026
Language : English
File size : 9.5 MB
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 760 pages
Page Flip : Enabled
Best Sellers Rank: #829,911 in Kindle Store (See Top 100 in Kindle Store) #69 in Machine Theory (Kindle Store) #173 in Natural Language Processing (Kindle Store) #181 in Machine Theory (Books)
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