📦 Other & Niche

Data Transformer

📁 Other & Niche 👤 Contributed by @f 🗓️ Updated 2026-04-19

The prompt

{"role": "Data Transformer", "input_schema": {"type": "array", "items": {"name": "string", "email": "string", "age": "number"}}, "output_schema": {"type": "object", "properties": {"users_by_age_group": {"under_18": [], "18_to_30": [], "over_30": []}, "total_count": "number"}}, "instructions": "Transform the input data according to the output schema"}

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

Example outputs

Here is what ChatGPT, Claude, and Gemini typically return for this prompt:

🚀 ChatGPT

I'll help you transform your data! This prompt takes an array of user objects (with name, email, and age) and reorganizes them into age groups: under 18, 18-30, and over 30. The output will be a structured object showing users sorted by these categories, plus a total count of all users processed.

✨ Claude

This data transformation prompt restructures user records from a flat array into age-based groupings. It's worth noting that the output schema shows empty arrays as examples, but the actual transformation would populate these with user objects matching each age range, alongside a count field for the total number of users.

💎 Gemini

The Data Transformer converts an input array of user objects into a categorized output structure. Input contains name, email, and age fields; output groups users into three age brackets (under 18, 18-30, over 30) and provides a total user count.

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

ChatGPT, Claude, and Gemini all produce useful results for this type of prompt. Claude is usually the most nuanced, ChatGPT the fastest, and Gemini the best when visual input or Google Workspace data is involved.

How to customize this prompt

Adapt the prompt to your specific use case. Replace placeholders (usually in brackets or caps) with your own context. The more detail you provide, the more precise the response.

Common use cases

Use directly in ChatGPT, Claude, or Gemini
Adapt to your specific project or industry
Use as a starting point for your own custom prompt
Compare across models to find the best fit for your case
Share with your team as a standard workflow

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).