Generate Diverse Names for UX/UI Mockups with OpenAI
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 1. Replace Dummy API credentials with your preferred language model API key. 2. Update webhook path and authentication as needed for your application. 3. Test with different parameters: gender (masculine/feminine/neutral), count (1-20), reference_name (optional). 4. Integrate webhook URL with your design tools, Bubble apps, or other platforms. ## Requirements - LLM API access (OpenAI, GPT-3, or other language models). - n8n instance (cloud or self-hosted). - Platform capable of making HTTP POST requests. ## API Usage POST to webhook with JSON body: ```json { "gender": "masculine", "count": 5, "reference_name": "Alex Chen" // optional } ``` Response: ```json { "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.
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, GPT-3, or other language models).
- 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.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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