Prompt & Context Engineering

This is not a book about prompt techniques.
There are already countless resources that teach you how to write better prompts, clever tricks, and formatting patterns. This book is about something far more important: what it actually means to design, manage, and run AI projects in the real world as a prompt & context engineer-and how teams should work with prompt & context engineers.
'Prompt & Context Engineering: How Prompt Engineers Become AI Solution Architects' is a practical guide for prompt engineers, product managers, AI solution architects, and anyone who works with prompt engineers. It explores how modern AI systems are built through structured context, engineered workflows, tool orchestration, evaluation design, and data-centric thinking. The book also introduces a new instruction classification methodology-ICIO (Instruction Classification by Input and Output relation)-a framework for systematically analyzing instructions, predicting model behavior, and designing more consistent train datasets.
Drawing from real-world agent projects across finance and enterprise environments, the book reframes the prompt engineer as an AI solution architect-someone who designs how models think, act, retrieve information, call tools, and collaborate with systems.
You will learn how to move from single-shot prompts to full context architectures, how to design agent workflows, how to structure inputs and memory, how to prevent hallucinations through system design, and how to build scalable, maintainable AI products rather than fragile demos.
This is not a collection of tricks.
It is a blueprint for building and operating AI systems.

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