Skip to content
MMake Prompt AI Get Started
Home > ChatGPT Guide > /promptanalyze
Custom prompt shortcut / Prompt Engineering

/promptanalyze — ChatGPT Prompt Guide

Explore the /promptanalyze custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /promptanalyze do?

Purpose: Diagnose a vague prompt that produces generic travel tips.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

mark unsupported hours, require dates and source citations.

Copy-ready task brief

/promptanalyze Objective: Diagnose why a travel itinerary prompt yields invented opening hours. Inputs: original prompt, generated response and trusted source list. Deliverable: failure taxonomy and revised source-aware prompt.

Reusable prompt template

/promptanalyze Objective: Diagnose why a travel itinerary prompt yields invented opening hours. Available materials: original prompt, generated response and trusted source list. Required output: failure taxonomy and revised source-aware prompt. Acceptance test: mark unsupported hours, require dates and source citations. Boundary: Flag missing information and unverified assumptions; do not fabricate evidence. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: original prompt, generated response and trusted source list.
  2. Run /promptanalyze with the copy-ready task brief above.
  3. Request the concrete output: failure taxonomy and revised source-aware prompt.
  4. Check the result: mark unsupported hours, require dates and source citations.

Quality checks and limitations

Acceptance criteria: mark unsupported hours, require dates and source citations. If inputs are incomplete, mark assumptions and verify the result before deployment.

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

Worked example and expected output

Input materials: original prompt, generated response and trusted source list.

Requested result: failure taxonomy and revised source-aware prompt.

Acceptance test: mark unsupported hours, require dates and source citations.

Worked example: Diagnose a vague prompt that produces generic travel tips

Illustrative deliverable: Identify missing audience, location, season, budget and output format; return a revised prompt with measurable constraints.

Review and limitations

Test revised prompt against the original and compare relevance.

Applied workflow and review criteria

Real-world task: Diagnose why a travel itinerary prompt yields invented opening hours.

Required inputs: original prompt, generated response and trusted source list.

Deliverable to request: failure taxonomy and revised source-aware prompt.

How to validate the result: mark unsupported hours, require dates and source citations.

Scope and limitation: A better prompt reduces but cannot eliminate hallucinations.

Frequently asked questions

Is /promptanalyze an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.