A complete framework for writing high-performance prompts for ChatGPT, Claude, and other LLMs. Stop guessing — start engineering.
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What's Inside
This SOP covers the full spectrum — from foundational principles to advanced multi-shot techniques used in production.
Learn the exact structure we use to build prompts — role definition, context injection, constraint layering, and output formatting. Works across all major LLMs.
Pre-built prompt templates for business writing, data analysis, research synthesis, code generation, customer support, and creative content.
Step-by-step processes for improving outputs through chain-of-thought, self-critique loops, and multi-turn conversation strategies.
When to use GPT-4, Claude, Gemini, or open-source models. Includes prompt adjustments needed for each model's strengths and quirks.
Dedicated playbooks for 10 common business scenarios: email drafting, meeting summaries, proposal generation, competitor analysis, and more.
A built-in rubric to evaluate and score your LLM outputs against consistency, accuracy, tone, and usefulness — so you know when a prompt is truly dialed in.
Who It's For
What You'll Walk Away With
Table of Contents
Core principles, mental models, and the anatomy of a high-performance prompt.
Our proprietary framework: Role → Context → Constraints → Output Format → Examples.
Copy-paste templates organized by use case: business, content, research, code, and operations.
Chain-of-thought, few-shot learning, self-critique loops, and multi-agent prompt patterns.
Tuning prompts for GPT-4, Claude, Gemini, Llama, and Mistral — what works where.
How to evaluate outputs, build feedback loops, and continuously improve prompt performance.
Get the complete SOP — 40+ templates, frameworks, and playbooks — and start getting better results from every AI interaction today.
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