Why do users struggle with prompts? A simple solution before sending

That’s a fair question - I think the key difference is in where this happens in the interaction.

Today, tools like ChatGPT may implicitly improve or reinterpret prompts as part of generating a response.

What I’m suggesting is a step before the response is generated - a structured UX layer where the system explicitly offers multiple prompt interpretations, and the user chooses the one that best reflects their intent.

So it’s less about how the model answers, and more about improving the alignment before the model answers.

Also, even if some of these capabilities exist in different forms - we still see that many users struggle to write effective prompts.

Which raises an important point: If this problem still exists at scale, it likely means the solution isn’t accessible or intuitive enough for most users.

The goal here is to make prompt guidance a built-in, natural part of the experience - not something users need to learn, configure, or explicitly ask for.

To my knowledge, that explicit “pre-send prompt selection” flow doesn’t currently exist as a built-in interaction pattern.