Meta-prompting is using an LLM to write and improve prompts for another LLM (or itself). Techniques include automatic prompt optimization (APO), prompt breeding, DSPy-style compiled prompts, and iterative refinement loops. This is how production systems evolve their prompts beyond what a human would manually write.
The 5-Mode Loop
5 of 5 modes available
Read · See · Animate · Test · Build
Before this, understand: chain of thought