Let's say I write a prompt and instruct ChatGPT to analyze the prompt and apply the best guidelines on prompt engineering to it to generate a new prompt that do

Let's say I write a prompt and instruct ChatGPT to analyze the prompt and apply the best guidelines on prompt engineering to it to generate a new prompt that does the job better. Then I take that generated prompt, give it to DeepSeek with the same instructions, and take the output, give it to Claude, and so on through all the released LLMs until we circle back to ChatGPT. This is something like the telephone game, but will the final result be a better or worse prompt than the original? Garbage in, garbage out - GIGO - still seems to apply to LLMs. It might be nice if LLMs would respond with 'this prompt doesn't compile, try again' while emitting an error report, like compilers do, if some minimal standard wasn't met.