Fix a Vague Prompt
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
The fastest fix for mediocre AI output is rewriting the prompt: vague words become concrete instructions, hedges become commitments, and missing elements get filled.
Most weak prompts share the same five problems: vague quality words ('good', 'engaging'), hedged asks ('some examples', 'if possible'), no audience, no output shape, and no way to tell whether the result is right. Rewriting fixes all five without changing what the prompt asks for. This resource loads a classic weak prompt and shows the full rewrite treatment — what gets replaced, what gets added, and which decisions the rewrite hands back to you as placeholders.
Rewrite the loaded prompt
Best Practice mode replaces 'good' and 'engaging' with concrete instructions, turns 'some examples if possible' into a commitment, and adds audience, format, length, and criteria slots.
Fill the placeholders
[Bracketed] lines are decisions only you can make — who reads this, how long it should be. Fill them and the prompt is ready.
Read Improvements Applied
Each line is a reusable pattern. The list is the lesson; the rewrite is the artifact.
Rewrite your own prompt
Paste the prompt you actually use and run the same treatment.
Rewriting changes the actual words — it swaps vague quality words like 'good' and 'engaging' for concrete instructions and turns a hedge like 'some examples if possible' into a commitment. The Prompt Formatter only reorganizes the same wording, and the Prompt Cleaner strips repetition. Rewriting is the only one of the three that changes the language while keeping what the prompt asks for unchanged.
It targets the five weak-prompt problems at once: replacing vague words like 'good' with concrete instructions, converting 'some examples if possible' into a firm requirement, then adding audience, format, length, and success-criteria slots the original lacked. Anything only you can decide — who reads it, how long it runs — comes back as a [bracketed] placeholder for you to fill in ChatGPT, Claude, or Gemini.
A rewrite sharpens the ask — replacing vague wording, removing hedges, and filling missing audience, format, and criteria — but it doesn't guarantee a better result on its own. You still fill the [bracketed] placeholders with your specifics and test the prompt wherever you run it. The Improvements Applied list shows what changed; the actual quality shows up only when you run it.
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
Format, length, and exclusions are the three levers that make AI output land in usable shape. A rewrite shows how to retrofit them onto a prompt that has none.
If you can't say what makes the output right, the model can't either. Success criteria turn 'make it good' into a checkable definition of done.
See exactly what changed between v1 and v2 of a prompt — added, removed, and modified instructions, plus whether the revision reduced or introduced risk.
A side-by-side way to decide between two ChatGPT prompt drafts — scored on clarity, specificity, output control, and risk instead of gut feeling.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Rewrite a weak prompt into a stronger one — vague wording fixed, gaps filled, goal unchanged.
Fix an unreliable prompt the methodical way instead of poking at it — find what's actually unclear, rewrite for specificity, cut the noise, then prove the new version beats the old one.