Synopsis
The 19 Laws of AI Prompting Intelligence - Master the Art of Human–AI Thinking, Prompt Engineering, and Collaboration
Turn AI from a tool into a thinking partner.
Most people use ChatGPT, Claude, Gemini, and other AI tools like advanced search boxes. They ask a question, accept the first answer, then keep rewriting prompts when the result feels generic, shallow, or wrong.
This book shows a different way.
The 19 Laws of AI Prompting Intelligence is a practical framework for prompt engineering, AI literacy, human-AI collaboration, decision-making, writing, creativity, research, and business workflows in the age of large language models (LLMs), AI agents, and answer engines. Instead of giving you random prompt hacks, Nikolay Gul teaches a repeatable system for directing AI with clearer intent, stronger roles, better context, smarter feedback, and more reliable results.
You will learn how to use AI not only to write faster, but to think better.
Inside, you’ll discover how to:
• Build modular prompts that can be reused, improved, and shared across projects
• Use role simulation and persona layering to make AI responses more useful and human-aware
• Apply the Prompt Autopsy method to diagnose weak outputs instead of guessing
• Use memory layering and context priming to reduce confusion and improve accuracy
• Break echo chambers with bias-reversal, adversarial framing, and missing-perspective prompts
• Simulate better decisions with Mirror Self Protocol / “You Is Me — But Smarter”
• Use Cross-AI Brainstorming to compare ideas across ChatGPT, Claude, Gemini, and other models
• Turn strong prompts into reusable business assets with Prompt Portfolio Intelligence
• Prepare for multimodal prompting across text, images, audio, video, and AI agents
This is not a prompt list.
It is a thinking system.
The book is built around 19 laws that help readers move from casual AI use to structured AI collaboration: Modular Prompt Architecture, Role Simulation, Prompt Autopsy, Context Priming, Cognitive Flip Prompting, Meta-Compression, Echo Chamber Breaking, Ethical Inversion, Silence Amplification, Robustness Testing, Format-for-Transfer, Multi-AI Role Rotation, Recursive Prompt Evolution, Prompt-as-a-Service thinking, and Multimodal Prompting Mastery.
Who this book is for:
• Writers, authors, creators, and editors using AI for better drafts and sharper ideas
• Entrepreneurs, marketers, consultants, and business professionals who need clearer strategy and faster execution
• Educators, students, researchers, and lifelong learners using AI for analysis, tutoring, and knowledge work
• Leaders and teams building AI workflows, prompt libraries, internal playbooks, or AI governance habits
• Anyone who wants better answers from AI without relying on expensive tools, plugins, or technical jargon
Why this book is different:
Most AI books teach isolated commands. This book teaches the thinking layer behind better commands.
It combines prompt engineering, cognitive psychology, systems thinking, business communication, ethical AI use, and practical workflow design. The goal is not to “trick” AI. The goal is to guide intelligence clearly, test assumptions, reduce blind spots, and produce outputs that are useful in real life.
Use it for content strategy, book writing, marketing messages, research summaries, executive decisions, customer personas, teaching materials, and AI workflow design.
Whether you are new to generative AI or already using it every day, this book will help you ask better, think better, edit better, decide better, and collaborate better.
Publisher: Future-Proof Marketing Press
Author: Nikolay Gul
More from the author:
AI Implementation Blind Spots
Before Buying Cybersecurity
AI Time Machine - The Art of Prompting
AI-Driven Cybersecurity and High-Tech Marketing
About the Author
Nikolay Gul is an AI marketing strategist and cybersecurity expert, and the author of The 19 Laws of AI Prompting Intelligence, Easy Book Self-Publishing, AI-Driven Cybersecurity & High-Tech Marketing, and AI Time Machine - The Art of Prompting.
He is the creator of the AI Prompts Engineering Skills Evaluation System and the AI Optimization Autopilot framework. His books make AI, cybersecurity, and publishing practical and creative
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