Generar nombres de prototipos de UX/UI impulsados por IA usando cualquier modelo LLM (plantilla)

• •Punto final de HTTP Webhook (n8n generará automáticamente)
• •Clave de API de OpenAI

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  "name": "Generate AI-powered names for UX/UI mockups using any LLM model (template)",
  "tags": [
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      "name": "Personal",
      "createdAt": "2025-07-07T12:25:22.847Z",
      "updatedAt": "2025-07-07T12:25:22.847Z"
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        "content": "# Description\n---\n\nThis n8n template demonstrates how to build an AI-powered name generator that creates realistic names perfect for UX/UI designers, developers, and content creators.\n\n**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.\n\n## How it works\n- **AI-Powered Generation:** Uses any LLM to generate names based on your specifications\n- **Customizable Parameters:** Accepts gender preferences, name count, and optional reference names for style matching\n- **UX/UI Optimized:** Names are specifically chosen to work well in design mockups and prototypes\n- **Smart Formatting:** Returns clean JSON arrays ready for integration with design tools and applications\n- **Reference Matching:** Can generate names similar in style to a provided reference name\n\n## How to set up\n1. Replace \"Dummy LLM API\" credentials with your preferred language model API key\n2. Update webhook path and authentication as needed for your application\n3. Test with different parameters: gender (masculine/feminine/neutral), count (1-20), reference_name (optional)\n4. Integrate webhook URL with your design tools, Bubble apps, or other platforms\n\n## Requirements\n- LLM API access (OpenAI, Claude, or other language model)\n- n8n instance (cloud or self-hosted)\n- Platform capable of making HTTP POST requests\n\n## API Usage\nPOST to webhook with JSON body:\n```json\n{\n  \"gender\": \"masculine\",\n  \"count\": 5,\n  \"reference_name\": \"Alex Chen\" // optional\n}\n```\n\nResponse:\n```json\n{\n  \"success\": true,\n  \"names\": [\"Marcus Johnson\", \"David Kim\", \"Sofia Rodriguez\", \"Chen Wei\", \"James Wilson\"],\n  \"count\": 5\n}\n```\n\n## How to customize\n- Modify AI prompt for specific naming styles or regions\n- Add additional parameters (age, profession, cultural background)\n- Connect to databases for persistent name storage\n- Integrate with design tools APIs (Figma, Sketch, Adobe XD)\n- Create batch processing for large mockup projects"
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        "content": "## Webhook Input Processing\n\nReceives parameters: gender, count, reference_name (optional)"
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      "typeVersion": 1
    },
    {
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        "content": "## AI Name Generation\n\nGenerates names using OpenAI with specialized UX/UI prompting"
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        "content": "## Response Formatting\n\nCleans and formats names into structured JSON array for easy integration"
      },
      "typeVersion": 1
    },
    {
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      "name": "Disparador Webhook Activador (Solicitud de Nombre)",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -112,
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      ],
      "webhookId": "generate-names",
      "parameters": {
        "path": "generate-names",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "6a42f135-a198-4da6-b588-5f3f373b9e7d",
      "name": "Agentee Generador de Nombres con IA",
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      "parameters": {
        "text": "={{ $json.body.reference_name ? \n   'Generate ' + $json.body.count + ' ' + $json.body.gender + ' names similar in style to: \"' + $json.body.reference_name + '\"' \n   : 'Generate ' + $json.body.count + ' random ' + $json.body.gender + ' names' }}",
        "options": {
          "systemMessage": "=Current date and time: {{$now}}\n\n# Overview\nYou are a UX/UI naming expert who generates diverse, realistic names that designers use in mockups, personas, prototypes, and user interface examples.\n\n# Task\nGenerate culturally diverse names from all continents that UX/UI designers would use in their work. Names should be:\n- Realistic and professional\n- Culturally authentic and respectful\n- Suitable for user personas, mockups, and prototypes\n- Representative of global diversity\n- Easy to pronounce and remember\n\n## Name Distribution by Region\nInclude names from:\n- **North America**: English, Spanish, French Canadian, Indigenous\n- **South America**: Spanish, Portuguese, Indigenous variants\n- **Europe**: Nordic, Germanic, Romance, Slavic, Celtic\n- **Africa**: West African, East African, North African, South African\n- **Asia**: East Asian, Southeast Asian, South Asian, Middle Eastern\n- **Oceania**: Australian, Polynesian, Melanesian, Micronesian\n\n## UX/UI Context Examples\nNames should work well in:\n- User persona profiles\n- Customer testimonials in mockups\n- User account examples\n- Team member listings\n- Contact forms and directories\n- App user interfaces\n- Website testimonials\n\n## Output Format\n- Generate exactly {{ $json.body.count }} names\n- Return ONLY names, one per line\n- \"First Last\" format\n- NO numbering or extra text\n- Ensure continental diversity across the full list\n\nExample output:\nChen Wei-Ming\nSofia Andersson\nRaj Patel\nIsabella Rodriguez"
        },
        "promptType": "define"
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          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {
          "maxTokens": 150,
          "temperature": 0.7
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      "credentials": {
        "openAiApi": {
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    {
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      "name": "Formatear Resultados de Nombres",
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        "jsCode": "// Get the AI output\nconst aiOutput = $input.first().json.output || $input.first().json.text;\n\nconsole.log('Raw AI Output:', aiOutput);\n\nif (!aiOutput) {\n  return {\n    json: {\n      success: false,\n      error: \"No output from AI\",\n      names: []\n    }\n  };\n}\n\n// Split the names into an array\nlet names = [];\n\ntry {\n  // Split by lines and clean up\n  names = aiOutput.toString()\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length > 0)\n    .map(line => {\n      // Remove numbering if present (1. 2. etc.)\n      let cleaned = line.replace(/^\\d+[\\.\\)]\\s*/, '');\n      return cleaned.trim();\n    })\n    .filter(name => name.length > 0 && name.length < 50); // Filter out overly long responses\n  \n} catch (error) {\n  console.error('Error parsing names:', error);\n  return {\n    json: {\n      success: false,\n      error: \"Failed to parse names\",\n      names: []\n    }\n  };\n}\n\n// Return structured response for easy integration\nreturn {\n  json: {\n    success: true,\n    names: names,\n    count: names.length,\n    generated_at: new Date().toISOString(),\n    request_params: {\n      gender: $('Webhook Trigger (Name Request)').item.json.body.gender,\n      requested_count: $('Webhook Trigger (Name Request)').item.json.body.count,\n      reference_name: $('Webhook Trigger (Name Request)').item.json.body.reference_name || null\n    }\n  }\n};"
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      "name": "Devolver Respuesta de Nombres",
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      "parameters": {
        "options": {},
        "respondWith": "json",
        "responseBody": "={{ $json }}"
      },
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