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This template demonstrates how to build an AI-powered name generator that creates realistic names perfect for UX/UI designers, developers, and content creators.
Use cases: User persona creation, mockup development, prototype testing, customer testimonials, team member listings, app interface examples, website content, accessibility testing, and any scenario requiring realistic placeholder names.
How it works
- AI-Powered Generation: Uses any LLM to generate names based on your specifications
- Customizable Parameters: Accepts gender preferences, name count, and optional reference names for style matching
- UX/UI Optimized: Names are specifically chosen to work well in design mockups and prototypes
- Smart Formatting: Returns clean JSON arrays ready for integration with design tools and applications
- Reference Matching: Can generate names similar in style to a provided reference name
How to set up
- Replace "Dummy API" credentials with your preferred language model API key
- Update webhook path and authentication as needed for your application
- Test with different parameters: gender (masculine/feminine/neutral), count (1-20), reference_name (optional)
- Integrate webhook URL with your design tools, Bubble apps, or other platforms
Requirements
- LLM API access (OpenAI, Claude, or other language model)
- n8n instance (cloud or self-hosted)
- Platform capable of making HTTP POST requests
API Usage
POST to webhook with JSON body:
{
"gender": "masculine",
"count": 5,
"reference_name": "Alex Chen" // optional
}
Response:
{
"success": true,
"names": ["Marcus Johnson", "David Kim", "Sofia Rodriguez", "Chen Wei", "James Wilson"],
"count": 5
}
How to customize
- Modify AI prompt for specific naming styles or regions
- Add additional parameters (age, profession, cultural background)
- Connect to databases for persistent name storage
- Integrate with design tools APIs (Figma, Sketch, Adobe XD)
- Create batch processing for large mockup projects