Fundamentals, techniques, system prompts, chaining, model guides, structured output, troubleshooting and safety. 56 copy-ready prompts across 8 categories – fill in the brackets, copy, and paste into ChatGPT, Claude, Gemini or any capable assistant.
This pillar is the method behind the other eight. It is deliberately small on theory and long on things you can test — because most prompt-engineering advice is folklore that was true for one model on one day and got repeated until it sounded like a rule.
Where the evidence is thin, we say so.
8 categories
Fundamentals
The handful of things that account for most of the difference.
7 promptsTechniques
Few-shot, chain of thought, role prompting — what holds up and what has been superseded.
7 promptsSystem Prompts
The instruction that ships with every message, written so it is still followed at message forty.
7 promptsChaining & Workflows
Splitting work across steps, and knowing when one prompt is enough.
7 promptsModel Guides
Where the models genuinely differ, and where the differences are overstated.
7 promptsStructured Output
JSON, tables and schemas that validate on the first attempt.
7 promptsTroubleshooting
Diagnosing the specific ways prompts fail, and what to change.
7 promptsSafety & Security
Prompt injection, data handling and the failure modes that matter in production.
7 prompts
A good first prompt from each
How to use these prompts
- Pick a category above, or search the whole prompt library.
- Press “Fill in” on any prompt to replace the [BRACKETED] parts in a simple form – or copy it and edit it in your AI tool.
- Read the tip under each prompt. It usually names the thing that goes wrong first.
- Got your own prompt? Run it through the Prompt Improver to see what is missing.