Générez des noms de prototypes UX/UI pilotés par l'IA pour n'importe quel modèle LLM (modèle)
Ceci est unContent Creation, Miscellaneous, Multimodal AIworkflow d'automatisation du domainecontenant 9 nœuds.Utilise principalement des nœuds comme Code, Webhook, Agent, RespondToWebhook, LmChatOpenAi. Générer des noms diversifiés pour les prototypes UX/UI avec OpenAI
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Clé API OpenAI
Nœuds utilisés (9)
{
"id": "ENCyyiKrIdlmcYTk",
"meta": {
"instanceId": "506e1eb999b7a8cf86103921b3e1b94e371534d9bae39d44754933678dc6697d",
"templateCredsSetupCompleted": true
},
"name": "Generate AI-powered names for UX/UI mockups using any LLM model (template)",
"tags": [
{
"id": "XnTVyrQY30pP85Ic",
"name": "Personal",
"createdAt": "2025-07-07T12:25:22.847Z",
"updatedAt": "2025-07-07T12:25:22.847Z"
}
],
"nodes": [
{
"id": "9b60f8d7-3dab-4343-8d75-da64a798e273",
"name": "Explication du modèle principal",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1136,
256
],
"parameters": {
"width": 700,
"height": 1316,
"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"
},
"typeVersion": 1
},
{
"id": "feb931d7-b708-4d4c-8477-3b2ed547263d",
"name": "Note d'entrée Webhook",
"type": "n8n-nodes-base.stickyNote",
"position": [
-304,
272
],
"parameters": {
"color": 4,
"width": 400,
"height": 128,
"content": "## Webhook Input Processing\n\nReceives parameters: gender, count, reference_name (optional)"
},
"typeVersion": 1
},
{
"id": "e1c1a53b-2f3e-44e8-ade2-d66e90da4d0d",
"name": "Note de génération IA",
"type": "n8n-nodes-base.stickyNote",
"position": [
176,
272
],
"parameters": {
"color": 3,
"width": 400,
"height": 128,
"content": "## AI Name Generation\n\nGenerates names using OpenAI with specialized UX/UI prompting"
},
"typeVersion": 1
},
{
"id": "b958e180-b34f-4d77-bc0a-82e65133ef4f",
"name": "Note de formatage de réponse",
"type": "n8n-nodes-base.stickyNote",
"position": [
656,
272
],
"parameters": {
"color": 5,
"width": 400,
"height": 128,
"content": "## Response Formatting\n\nCleans and formats names into structured JSON array for easy integration"
},
"typeVersion": 1
},
{
"id": "4deb7a89-e0bc-48c8-bca2-12cbb1f00fc1",
"name": "Déclencheur Webhook (Demande de nom)",
"type": "n8n-nodes-base.webhook",
"position": [
-112,
432
],
"webhookId": "generate-names",
"parameters": {
"path": "generate-names",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "6a42f135-a198-4da6-b588-5f3f373b9e7d",
"name": "Agent générateur de noms IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
432
],
"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"
},
"typeVersion": 2
},
{
"id": "1408c494-f7f0-4223-affd-44b1eeae6790",
"name": "OpenAI GPT-4.1 Mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
64,
656
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {
"maxTokens": 150,
"temperature": 0.7
}
},
"credentials": {
"openAiApi": {
"id": "mvWns3smwtPV0N7O",
"name": "Dummy OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "8fd94983-793e-418c-90ab-5955b92d5578",
"name": "Formater les résultats de noms",
"type": "n8n-nodes-base.code",
"position": [
656,
432
],
"parameters": {
"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};"
},
"typeVersion": 2
},
{
"id": "a0544c45-089c-4f97-8a59-12ea041fa84b",
"name": "Retourner la réponse des noms",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
928,
432
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ $json }}"
},
"typeVersion": 1.4
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "26e8803f-c519-494c-867c-6e88ebdf6553",
"connections": {
"8fd94983-793e-418c-90ab-5955b92d5578": {
"main": [
[
{
"node": "a0544c45-089c-4f97-8a59-12ea041fa84b",
"type": "main",
"index": 0
}
]
]
},
"1408c494-f7f0-4223-affd-44b1eeae6790": {
"ai_languageModel": [
[
{
"node": "6a42f135-a198-4da6-b588-5f3f373b9e7d",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"6a42f135-a198-4da6-b588-5f3f373b9e7d": {
"main": [
[
{
"node": "8fd94983-793e-418c-90ab-5955b92d5578",
"type": "main",
"index": 0
}
]
]
},
"4deb7a89-e0bc-48c8-bca2-12cbb1f00fc1": {
"main": [
[
{
"node": "6a42f135-a198-4da6-b588-5f3f373b9e7d",
"type": "main",
"index": 0
}
]
]
}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Création de contenu, Divers, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
Workflows recommandés
Dahiana
@mssportoNo-Code Specialist with more than 10 years of experience in Digital Marketing. Currently working with Bubble. Webflow, AI, Agents and N8N.
Partager ce workflow