Meta-Prompting: Prompts That Write Prompts
The fastest way to a great prompt is asking the model to write and critique one.
The prompt
You are a prompt engineer. Task: I need a reusable prompt that turns raw meeting notes into a client-ready status email. Draft the prompt, then critique it for 3 likely failure modes (missing info, wrong tone, hallucinated commitments), then output the improved final prompt in a code block.
Pro tip: Always ask for the critique step — the first draft prompt is rarely the best one, and the model knows its own failure modes.
How to use this prompt
- Copy the prompt using the button above.
- Add any context specific to your situation — the more specific you are, the better the output.
- Paste it into Claude and run it.
- If the answer feels generic, add constraints: audience, length, tone, and what to avoid. That single change fixes most weak output.
Learn the technique
Meta-Prompting: Prompts That Write Prompts
Module 5 — Expert: Prompt Systems · Prompt Engineering Fundamentals
Related prompts
The 5-Part Prompt Framework — ChatGPT
Every strong prompt combines five parts: Role (who the AI should act as), Context (background info it needs), Task (the specific ask), Format (how you want the output structured), and Constraints (length, tone, things to avoid).
ClaudeThe 5-Part Prompt Framework — Claude
Every strong prompt combines five parts: Role (who the AI should act as), Context (background info it needs), Task (the specific ask), Format (how you want the output structured), and Constraints (length, tone, things to avoid).
ChatGPTZero-Shot vs Few-Shot Prompting — ChatGPT
Zero-shot means asking directly with no examples.
GrokZero-Shot vs Few-Shot Prompting — Grok
Zero-shot means asking directly with no examples.
ChatGPTChain-of-Thought Prompting — ChatGPT
Asking a model to "think step by step" before answering measurably improves accuracy on reasoning, math, and multi-step logic tasks because it forces the model to externalize intermediate steps instead of jumping to a guess..
ClaudeChain-of-Thought Prompting — Claude
Asking a model to "think step by step" before answering measurably improves accuracy on reasoning, math, and multi-step logic tasks because it forces the model to externalize intermediate steps instead of jumping to a guess..