Prompt Enhancement: From Weak to Strong
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.
Overview
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.
Workflow
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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.
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Read Improvements Applied as a checklist
That list is the enhancement sequence. Apply it manually to any prompt: filler → vague → hedges → duplicates → gaps.
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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.
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Fill and ship
Complete the [bracketed] decisions and the prompt is stronger than the original in every measurable way — with the same goal.
Why This Works
- Enhancement as a fixed sequence is learnable; enhancement as taste is not
- Each repair is small but they compound — five one-line fixes outperform one big rewrite
- Preserving the goal makes enhancement safe to apply to prompts that already work
Best for
- Prompts written conversationally, the way you'd ask a person
- Anyone who wants the checklist, not just the fixed prompt
- Upgrading saved prompts before they spread through a team
Not for
- Health-scoring a prompt without changing it — that's the Prompt Cleaner's report
- Building a new prompt from structured fields — that's the System Prompt Generator
Use cases
- Running the full enhancement treatment on a real prompt
- Learning the repair sequence to apply while writing, not after
- Demonstrating to a team what 'a better prompt' concretely means