Prompt Engineering Clarity Rewrite

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.

Overview

Vagueness is the most common prompt defect and the easiest to fix once you treat it mechanically. Every vague term maps to a concrete replacement: 'engaging' becomes a hook instruction, 'detailed' becomes a coverage list, 'good' becomes success criteria, 'some' becomes a number. This resource loads a prompt built almost entirely from vague terms, so the rewrite shows the full replacement map in one pass — and the clarity-focused mode keeps the rewrite tight instead of padding it.

Workflow

  1. Run Improve Clarity on the loaded prompt

    Watch 'interesting', 'engaging', 'detailed', and 'useful' each turn into a specific instruction — and 'try to' disappear.

  2. Note what survived

    The actual ask — write about the feature launch — is untouched. Only the fuzz changed.

  3. Check Remaining Risks

    Clarity mode doesn't add audience or format. The risk list tells you they're still missing — switch to Best Practice if you want them filled.

  4. Apply to your prompts

    Any prompt with two or more adjectives in place of instructions is a candidate.

Why This Works

  • Vague terms aren't bad writing — they're undelegated decisions; the rewrite surfaces each one
  • A fixed replacement map makes de-fuzzing repeatable instead of a matter of taste
  • Mode separation keeps the fix minimal: clarity mode fixes wording without growing the prompt

Best for

  • Prompts heavy on adjectives and light on instructions
  • Output that reads plausible but never quite useful
  • Anyone who writes prompts the way they'd brief a human colleague

Not for

  • Flagging ambiguity without rewriting — the Prompt Cleaner's health report does that
  • Comparing a vague and a specific prompt side by side — that's the Prompt Comparator

Use cases

  • De-fuzzing a prompt before it goes into a recurring workflow
  • Showing a teammate why their prompt keeps producing fluff
  • Learning the vague-term → concrete-instruction replacement map

Tip: Save time by exploring related resources and tools that integrate with this workflow.

Explore all resources