Prompt engineering guides
Practical, tested guides on getting more from AI — prompt engineering fundamentals, the best ChatGPT and Claude prompts, building a reusable prompt library, and turning your prompts into income.
Prompt Engineering: A Practical Guide to Writing Better AI Prompts
The structure, techniques, and patterns that turn vague requests into reliable AI output.
Read the guide →The Best ChatGPT Prompts for Work in 2026 (with Templates)
Curated, copy-paste prompt templates for the tasks knowledge workers actually do every day.
Read the guide →The Best Claude Prompts (and How Claude Differs from ChatGPT)
Tested prompts plus the Claude-specific habits — XML tags, long context, careful system prompts — that get the most out of Anthropic's models.
Read the guide →What Is a Prompt Library — and How to Build One That Saves Hours
Stop re-discovering the same prompt. A library turns one-off wins into a durable, shareable asset.
Read the guide →12 Prompt Engineering Techniques That Actually Improve Output
A practical reference of the techniques that measurably improve results — and the situations each one is for.
Read the guide →System Prompt vs User Prompt: What Goes Where (and Why It Matters)
Putting the right instruction in the right place is one of the cheapest ways to make AI output more reliable.
Read the guide →How to Sell AI Prompts in 2026 (and Actually Make Money)
What actually sells, how to price and package it, and how to avoid the mistakes that keep most prompt sellers at zero.
Read the guide →Chain-of-Thought Prompting: How and When to Make AI Reason Step by Step
The technique that improves reasoning on hard tasks — plus when to use it, when to hide the reasoning, and when to skip it.
Read the guide →Reusable Prompt Templates: How to Turn One-Off Prompts into Tools
A template turns a prompt you got lucky with once into a tool you can rely on a hundred times.
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