"A definitive, structured guide to deploying powerful prompts for modern AI systems."

As Large Language Models have become central to software, research, and business operations, the ability to communicate with them precisely has become an essential skill across many sectors. It has become a question of absolute competence. Author Nelson Ming provides a comprehensive and rigorously structured resource that teaches this discipline from the ground up. Designed for forward-looking and active practitioners, this book provides the conceptual foundations and practical systems needed to build reliable, scalable, and interpretable prompt-driven solutions.

Across 45 modules organized into eight chapters, the book begins with first principles: how prompts work, how models interpret them, and how to design stable and repeatable interactions. From there, it develops into advanced architectures, orchestration patterns, and deployment strategies used in real systems. Readers learn how to construct modular prompt systems, integrate prompting with external tools and APIs, build retrieval-augmented flows, and establish evaluation and governance layers for safety and compliance.

A section of the book is dedicated to Agentic Prompting. Here, prompts do more than just request outputs. They drive perception, reasoning, action, and self-reflection loops inside automated AI agents. The book explains how these patterns work, when they fail, and how to design them responsibly in production environments.
Throughout, the material balances conceptual clarity with practical depth, providing readers with frameworks, diagrams, and real-world examples they can apply immediately.

Inside the Book:

• Chapter I - Core Concepts and Building Blocks

• Chapter II - Building Structured Prompt Systems

• Chapter III - Prompting Tools and Ecosystems

• Chapter IV - Prompting AI Agents

• Chapter V - Safety, Governance, and Risk

• Chapter VI - Deploying and Scaling Prompt Systems

• Chapter VII - Real-World Use Cases

• Chapter VIII - Emerging Trends and Trajectories

Whether you are learning the foundations of prompt engineering or seeking to refine your professional practice, this book provides a clear, disciplined, and deeply informed foundation for communicating with LLMs at scale. It equips readers not only to master the present state of the field, but to navigate the rapidly evolving landscape of AI-driven systems in the years ahead.

• We started tracking this book on December 27, 2025.
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• Computers & TechnologyComputer ScienceArtificial IntelligenceAI & Semantics

• Text-to-Speech: Disabled
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• Print Length: 357 Pages
• File Size: 36 KB