Meta-Prompting

Meta-prompting uses a language model to generate, refine, or select prompts for another model — or for a subsequent invocation of itself. Rather than handcrafting every prompt, a meta-prompter can iteratively improve a prompt by asking the model to critique its own output and suggest improvements, automatically explore prompt variants, or generate task-specific instructions from a high-level description. Meta-prompting shifts prompt engineering from manual art toward automated optimization.