Meta-Prompting: Using an LLM to Critique and Rewrite Your Prompts
Originally published on AI Tech Connect. What you need to know Meta-prompting means using an LLM to operate on prompts themselves — writing a first draft, critiquing an existing one, or proposing a rewrite — instead of
Originally published on AI Tech Connect.
What you need to know Meta-prompting means using an LLM to operate on prompts themselves — writing a first draft, critiquing an existing one, or proposing a rewrite — instead of a human doing all of that editing by hand. It is not a single technique so much as a family of them, ranging from a quick "what's wrong with this prompt?" question you ask in a chat window, up to fully automated optimisers that search over thousands of candidate instructions without a human reading any of them. This guide focuses on the version most builders can actually put into production this week: the critique-rewrite loop. You draft a prompt, run it against a small but real evaluation set, ask a second LLM call to diagnose the failures, use that diagnosis to rewrite the prompt, and re-run the eval to confirm…
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.