Context Engineering for AI (Paperback)

Jacobs V. Bradley

ISBN 13: 9798296195432

Published by Independently Published, 2025

About this Item

Paperback. Master the Future of AI with Context Engineering - Transform Prompts into Production-Ready IntelligenceIn a world where AI is powering business, research, and innovation, simply knowing how to write prompts is no longer enough. Context engineering is the missing link that separates hobbyist experiments from scalable, production-ready AI systems. This book, "Context Engineering for AI: From Prompting to Production," gives you the complete blueprint to design reliable, cost-efficient, and high-performing LLM applications that thrive in real-world environments.Inside, you will learn how to structure context pipelines, implement Retrieval-Augmented Generation (RAG), optimize tokens for cost and speed, and add short-term and persistent memory for multi-turn conversations. Through hands-on projects, real-world case studies, and production-proven techniques, you'll gain the practical skills to transform AI from a concept into a business-ready solution.Written by Jacobs V. Bradley, a seasoned technology expert and thought leader in AI systems and intelligent automation, this book reflects up-to-date industry trends and provides actionable insights for developers, data scientists, AI engineers, and technology leaders. Whether you're building document intelligence for finance, customer support automation at scale, or multi-agent context routing systems, this guide empowers you to engineer AI solutions that are accurate, reliable, and future-proof.If you want to go beyond prompt engineering and gain the technical mastery that modern enterprises demand, this is the essential guide. Future-proof your skills, boost your AI expertise, and turn concepts into deployable, revenue-generating systems with context engineering.Perfect For: Developers and AI engineers building real-world LLM applicationsTech leaders seeking scalable, cost-efficient AI solutionsReaders of top-selling AI, machine learning, and automation books This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798296195432

Bibliographic Details

• Title: Context Engineering for AI (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798296195432
• Binding: Paperback
• Condition: new

About this title

Synopsis

Master the Future of AI with Context Engineering – Transform Prompts into Production-Ready Intelligence

In a world where AI is powering business, research, and innovation, simply knowing how to write prompts is no longer enough. Context engineering is the missing link that separates hobbyist experiments from scalable, production-ready AI systems. This book, “Context Engineering for AI: From Prompting to Production,” gives you the complete blueprint to design reliable, cost-efficient, and high-performing LLM applications that thrive in real-world environments.

Inside, you will learn how to structure context pipelines, implement Retrieval-Augmented Generation (RAG), optimize tokens for cost and speed, and add short-term and persistent memory for multi-turn conversations. Through hands-on projects, real-world case studies, and production-proven techniques, you’ll gain the practical skills to transform AI from a concept into a business-ready solution.

Written by Jacobs V. Bradley, a seasoned technology expert and thought leader in AI systems and intelligent automation, this book reflects up-to-date industry trends and provides actionable insights for developers, data scientists, AI engineers, and technology leaders. Whether you’re building document intelligence for finance, customer support automation at scale, or multi-agent context routing systems, this guide empowers you to engineer AI solutions that are accurate, reliable, and future-proof.

If you want to go beyond prompt engineering and gain the technical mastery that modern enterprises demand, this is the essential guide. Future-proof your skills, boost your AI expertise, and turn concepts into deployable, revenue-generating systems with context engineering.

Perfect For:

• Developers and AI engineers building real-world LLM applications

• Tech leaders seeking scalable, cost-efficient AI solutions

• Readers of top-selling AI, machine learning, and automation books