This prompt engineering guide, designed for the GPT-5 era, aims to help users dramatically improve their interactions with AI tools like ChatGPT, Claude, and Gemini. It explains how Large Language Models (LLMs) function as prediction engines and details the anatomy of a perfect prompt, emphasizing clarity, specificity, and context. The guide outlines various prompting techniques such as Zero-Shot, Few-Shot, System, Role, Contextual, Step-Back, Chain-of-Thought, Self-Consistency, Tree of Thoughts, ReAct, and Automatic Prompt Engineering, providing examples and tips for each. Furthermore, it offers role-based prompt templates for common business functions like operations, sales, and marketing, and includes a prompt scorecard and refinement worksheet for iterative improvement.

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