PROMPT ENGINEERING FOR PRODUCTION

Most prompt engineering books teach clever tricks.
This book teaches production discipline.

Prompt Engineering for Production is a professional, systems-level guide to designing prompts that actually work in real-world AI applications — not demos, not chat toys, but scalable LLM systems, generative AI workflows, and agentic AI architectures deployed in production environments.

As large language models move from experimentation to mission-critical systems, prompt engineering has become a core engineering skill. Poorly designed prompts lead to brittle behavior, hallucinations, security risks, and unmaintainable AI pipelines. This book shows how to engineer prompts with the same rigor applied to software architecture, system design, and machine learning workflows.

Written for experienced developers, ML engineers, and applied researchers, this book goes far beyond basic prompt patterns. It focuses on how prompts function inside complete systems — interacting with tools, memory, orchestration frameworks, evaluation loops, and governance constraints.

What you will learn:

How to design production-grade prompts that are reliable, testable, and maintainable

Prompt structures for LLM applications, generative AI workflows, and agentic AI systems

Context engineering, prompt versioning, and prompt contracts

Designing prompts for tool use, multi-step reasoning, and autonomous agents

Debugging, testing, and optimizing prompt-driven systems at scale

Security considerations, including prompt injection and data leakage

How prompt engineering fits into modern LLM architectures and AI pipelines

Each chapter blends theory, system design, and hands-on implementation using Python and modern agentic frameworks. Concepts are grounded in real-world use cases such as AI assistants, enterprise automation, and multi-agent workflows — with practical guidance on deployment, monitoring, and long-term scalability.

This is not a beginner’s guide.
It is a professional reference for engineers building serious AI systems.

If you are moving beyond experimentation and need prompts that behave predictably in production, this book provides the frameworks, patterns, and engineering mindset required to do it right.

🔑 Why this description converts on Apple & Google

Strong authority tone (Apple Books favors this)

High-value SEO terms used naturally:

LLM applications

Generative AI

Agentic AI systems

Prompt optimization

Production AI

Clear audience filter → higher trust + better reviews

Signals premium, long-term value, not trend chasing