AI engineering glossary · Prompt context engineering
What is meta-prompting?
Meta-prompting: Using a language model to write, critique or improve prompts, so that the prompt itself is a model output. It shifts effort from hand-tuning wording to describing the task and letting the model draft candidate instructions.
Meta-prompting: an example
Ask a model: 'Write a system prompt for a bot that answers questions about Aadhaar update rules; list its weaknesses.'
Related terms
More Prompt context engineering terms
- Multi-turn conversation
- Needle in a haystack test
- One-shot prompting
- Outlines library
- Output format specification
- Output parser
- Output repair
- Parallel tool calls
Where you learn it
Meta-prompting is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.