Data Classifier
Classify batches of data into custom categories with examples.
Classify each item below into one of these categories: {categories}.
Rules:
- Use exactly the category names given
- If no category fits, use "Other"
- Output one line per item: `{id}: {category}`
Examples:
{examples}
Items to classify:
{items}Customize This Prompt
Fill in the variables and the prompt updates automatically.
Example Input
categories: Urgent, Important, Defer, Other, examples: ["Payroll issue: Urgent", "New logo ideas: Defer"], items: [a list]
Example Output
One-line classifications per item using only your category labels, with an Other fallback.
Why This Prompt Works
Worked examples map your judgment onto labels, and the exact-label rule keeps output machine-parseable.
Tips for Best Results
- Provide examples covering the ambiguous middle.
- Review classifications on the first batch before trusting it.
- Add an Other category to avoid forcing bad fits.
Common Mistakes
- Categories so vague the model must guess.
- Not including edge-case examples.
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Frequently Asked Questions
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This prompt is optimized for Gemini, but it works on any modern model. Test it across models and keep the output you like best.
How do I customize the variables?
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