What is meta-prompting, and when should you let an LLM write your prompts?
Letting a model write your prompts works, right up until the optimizer memorizes your eval set and hands you an unreadable prompt that scores better and generalizes worse. The bounds are the whole answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Letting a model write your prompts works, right up until the optimizer memorizes your eval set and hands you an unreadable prompt that scores better and generalizes worse. The bounds are the whole answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
