Prompt Engineering Vague Instructions

Find Vague Instructions in a Prompt

Words like "good", "engaging", and "professional" feel like instructions but specify nothing. Find them so you know where the prompt leaves things open.

Overview

Subjective quality words are the most common prompt trap: "make it good", "keep it professional", "something engaging" sound like direction but tell the model nothing measurable. This loads a prompt built almost entirely from them and flags each one, showing how a request can be full of words yet empty of specifics. Seeing them listed is the point — the prompt reads as instruction but scores low on specificity. It finds the vague terms; it does not replace them.

Workflow

  1. Paste the prompt

    One that leans on quality words like "good" or "engaging".

  2. See each flagged term

    Subjective words that read as instruction but specify nothing.

  3. Spot the specificity gap

    Full of words, low on measurable direction.

Why This Works

  • Subjective quality words feel like direction but specify nothing
  • Listing them exposes a prompt that is wordy yet vague
  • It finds the vague terms without replacing them for you

Best for

  • Catching subjective quality words
  • Spotting wordy-but-vague prompts
  • Raising specificity awareness

Not for

  • Swapping vague words for specific ones — that's the Prompt Rewriter
  • Removing filler — that's the Prompt Cleaner

Use cases

  • Catching subjective quality words
  • Spotting wordy-but-vague prompts
  • Raising specificity awareness

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

Explore all resources