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 full enhancement pass in one worked example: fix vague wording, commit the hedges, strip filler, fill the gaps — without changing what the prompt asks for.
Prompt enhancement isn't rewriting from scratch — it's a fixed sequence of small repairs that compound. Strip the filler openers. Replace each vague term with an instruction. Turn hedges into commitments. Collapse duplicates. Then fill what's missing: audience, format, length, criteria. This resource loads a prompt that needs every step, so one rewrite shows the whole sequence — and the Improvements Applied list doubles as the enhancement checklist you can reuse by hand.
Rewrite the loaded prompt
Every enhancement fires at once: filler ('I would like you to please'), vague terms ('good', 'engaging'), hedges ('some', 'maybe', 'try to'), and the politeness line all get treated.
Read Improvements Applied as a checklist
That list is the enhancement sequence. Apply it manually to any prompt: filler → vague → hedges → duplicates → gaps.
Toggle Preserve Intent off
See the difference: the hedged optional line ('Maybe add some tips…') is dropped instead of committed. Choose which behavior fits your case.
Fill and ship
Complete the [bracketed] decisions and the prompt is stronger than the original in every measurable way — with the same goal.
It doesn't — enhancement preserves the goal while applying a fixed repair sequence: strip filler ("I would like you to please"), replace vague terms (good, engaging), commit hedges (some, maybe, try to), collapse duplicates, then fill gaps like audience and format. whyThisWorks notes this is what makes it safe on prompts that already work. You still complete the [bracketed] decisions before running it.
With Preserve Intent off, a hedged optional line like "Maybe add some tips for difficult conversations" is dropped instead of committed into a firm instruction — so the toggle decides whether tentative asks survive. The rewriter reshapes your pasted text; choosing which behavior fits the case, and shipping the final prompt, stays with you.
Yes — the Improvements Applied list doubles as the enhancement checklist, capturing the same sequence (filler → vague → hedges → duplicates → gaps) so you can apply it manually to any prompt. The rewriter demonstrates the whole pass on one worked example; the resource frames enhancement as a learnable sequence rather than taste.
'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.
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.
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.