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Context Engineering Blueprint by Ethan Nakamura is a practical guide for developers and AI engineers to build reliable, scalable large language model systems. This book provides a clear framework to master prompt design, memory management, retrieval pipelines, and multi-agent workflows. Learn to shape context for better performance, create reusable prompt templates with tool integration, optimize data retrieval with chunking and hybrid search, coordinate multi-agent systems using LangChain, manage token limits with dynamic compression, prevent errors like hallucinations and memory bleed, and deploy scalable AI for real-world tasks like automation. With hands-on examples and case studies, this book helps you create intelligent systems. Get your copy today to design AI that delivers results.
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