Few-Shot Prompt Example Generator
Interactively build few-shot input/output examples in XML, Markdown, and JSON schema formats.
100% Client-Side · In-Memory Only
Interactive Tool Workspace
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How to Use Few-Shot Prompt Example Generator
- Enter your base system instruction in the top editor.
- Add input and output demonstration pairs using the interactive example list.
- Select your preferred serialization format: XML tags (<examples>), Markdown sections, JSON, or colon-delimited.
- Copy or download the assembled few-shot prompt ready for inference.
Features & Guarantees
- Quickly construct few-shot demonstration blocks to guide LLM behavior by example.
- Supports multiple standardized formats: Claude-recommended XML tags, Markdown headings, and JSON arrays.
- Dynamic list management with easy addition, deletion, and inline editing.
- Embeds target variable placeholders ({{USER_INPUT}}) for immediate template deployment.
Frequently Asked Questions
Why is few-shot prompting effective?
Few-shot prompting provides concrete examples of desired input-output transformations, drastically improving classification, extraction, and formatting consistency without model fine-tuning.
How many few-shot examples should I provide?
Typically 2 to 5 high-quality, representative examples covering standard and edge cases are optimal for most frontier models.