Decoder. plain-English AI glossary

Meta-prompting

▲ Rising

Using a model to generate or refine prompts for itself or other models — prompting about prompting.

Think of it like

Like a writer editing their own instructions to make them clearer.

Example

You give Claude a task and ask: "Generate the best system prompt for an AI that does X." It writes a refined prompt you can reuse.

How it actually works

Meta-prompting is a form of in-context learning and reflection. The model reasons about what instructions work. It can also be used for prompt optimization: iteratively improve a prompt by having the model critique and regenerate it. This is experimental and cost-intensive, but can yield domain-specific prompts better than hand-written ones.

For product teams

Automates prompt engineering; useful for discovering patterns.

For engineers

Implement a loop: generate prompt → test → critique → refine. Measure impact with a held-out eval set.

Prompt optimization — Related to prompt optimization and automatic prompt engineering.

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