Prompt Optimiser

In short Optimising a prompt means finding what is missing rather than making it longer, and in practice the same few things are missing almost every time. No stated output format, so the model picks one. No audience, so it writes for nobody in particular. No constraints, so it produces four paragraphs when you wanted three bullets. No context, so it answers generically about a topic it knows rather than specifically about your situation. And no instruction for missing information, so it invents. This tool restructures a rough prompt into the six-part form and, more usefully, says which part was absent and what that absence was costing you — because the point is to learn the pattern rather than to keep coming back. The commonest single fix is adding an example of the output you want. Describing a format takes a paragraph and is still ambiguous; showing one takes three lines and is not. If the output was close but wrong in tone or length, that is nearly always a constraints problem rather than a prompt-structure problem.