You: "Why did you build this?"

LLM: "Because the embeddings in your prompt are close to some embeddings in my training data. Here's some seemingly explanatory text with that is just similar embeddings to other 'why?' questions."

You: "What could be improved?"

LLM: "Here's some different stuff based on other training data with embeddings close to the original embeddings, but different.

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It's near zero useful information. Example imformation might be "it builds" (baseline necessity, so useless info), "it passes some tests" (fairly baseline, more useful, but actually useless if you don't know what the tests are doing), or "it's different" (duh).