Context Engineering for AI: From Prompting to Production - LLM Context Windows, RAG Pipelines, and Smart AI Applications with Hands-On Projects

Jacobs V. Bradley

ISBN 13: 9798296195432

Published by Independently published, 2025

Language: English

Condition: New Soft cover

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Bibliographic Details

Title: Context Engineering for AI: From Prompting to Production - LLM Context Windows, RAG Pipelines, and Smart AI Applications with Hands-On Projects
Publisher: Independently published
Publication Date: 2025
Language: English
ISBN 13: 9798296195432
Binding: Paperback
Condition: New
Dimensions: 17.78 centimeters width by 0.86 centimeters height by 25.4 centimeters depth
Weight: 268 grams

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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

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