{ "workflow": { "id": 10292, "name": "Automate recruitment with GPT-4o-mini: CV screening to interview scheduling in Airtable", "views": 650, "recentViews": 1, "totalViews": 650, "createdAt": "2025-10-29T16:52:54.239Z", "description": "## Introduction\nAutomate candidate evaluation from CV submission to interview booking. Perfect for HR teams and recruiters.\n## How It Works\nWebhook receives CVs, extracts Airtable data, AI assesses qualifications, filters candidates, sends emails, schedules Google Calendar interviews, and updates records.\n## Workflow Template\nWebhook → Airtable (Get Data) → AI Extract CV → AI Assessment → Filter Qualified → Generate Email → Send Email → Filter Interview Candidates → Schedule Calendar → Update Airtable → Slack Notification → Respond\n## Workflow Steps\n1. Receive & Store: Webhook receives CVs, saves to Airtable.\n2. Fetch & Download: Gets job criteria, downloads CVs.\n3. AI Assessment: Parses skills, scores candidates.\n4. Filter & Email: Routes qualified, sends messages.\n5. Schedule & Update: Books interviews, updates Airtable.\n6. Notify: Alerts via Slack, confirms status.\n## Setup Instructions\n1. **Webhook & Airtable:** Set URL, create tables, add credentials.\n2. **AI Configuration:** Add OpenAI key, define schema, customize scoring.\n3. **Communication:** Connect Gmail, Calendar, and Slack.\n## Prerequisites\n- Airtable account\n- OpenAI API key\n- Gmail and Google Calendar\n- Slack workspace (optional)\n## Customization\n- Multi-stage scheduling\n- ATS integration (Greenhouse, Lever)\n## Benefits\n- Reduces screening time by 90%\n- Ensures uniform evaluation\n- Cuts time-to-hire by 60%", "workflow": { "id": "i7hRouNsQLAJJg4F", "meta": { "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502" }, "name": "AI-Powered GPT-4o-mini Recruitment Pipeline: CV Screening to Interview Scheduler", "tags": [], "nodes": [ { "id": "2a69b990-5536-4825-81e2-682ef75fe7a2", "name": "Webhook - Receive CV", "type": "n8n-nodes-base.webhook", "position": [ 112, 352 ], "webhookId": "21c60b52-4d15-48a2-9a70-d51be54905e1", "parameters": { "path": "candidate-cv", "options": {}, "httpMethod": "POST", "responseMode": "responseNode" }, "typeVersion": 2 }, { "id": "6e476a4e-e2bb-4298-9ddc-5829aeb8306f", "name": "Airtable - Store Candidate", "type": "n8n-nodes-base.airtable", "position": [ 304, 208 ], "parameters": { "base": { "__rl": true, "mode": "list", "value": "appXXXXXXXXXXXXXX", "cachedResultName": "Candidates" }, "table": { "__rl": true, "mode": "list", "value": "tblCandidates", "cachedResultName": "Candidates" }, "columns": { "value": { "Name": "={{ $json.body.name }}", "Email": "={{ $json.body.email }}", "Phone": "={{ $json.body.phone }}", "CV_URL": "={{ $json.body.cv_url }}", "Status": "New Application", "Application_Date": "={{ $now.toISO() }}", "Position_Applied": "={{ $json.body.position }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "create", "authentication": "oAuth2" }, "typeVersion": 2 }, { "id": "56b8fd3c-8f51-44c5-a39c-80c002da4cc7", "name": "HTTP Request - Download CV", "type": "n8n-nodes-base.httpRequest", "position": [ 272, 432 ], "parameters": { "url": "={{ $('Webhook - Receive CV').item.json.body.cv_url }}", "options": {} }, "typeVersion": 4.2 }, { "id": "477e1bb2-ddce-4655-b148-5eddff7a0672", "name": "AI - Extract CV Data", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 400, 432 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "0fdb2b79-b63d-42be-9ddc-2cee4cf5a83c", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 400, 592 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "ea434fe7-5922-4413-9d94-a1bb049a1a13", "name": "Airtable - Get Job Requirements", "type": "n8n-nodes-base.airtable", "position": [ 464, 224 ], "parameters": { "base": { "__rl": true, "mode": "list", "value": "appXXXXXXXXXXXXXX", "cachedResultName": "Candidates" }, "table": { "__rl": true, "mode": "list", "value": "tblJobRequirements", "cachedResultName": "Job Requirements" }, "options": {}, "operation": "search", "authentication": "oAuth2", "filterByFormula": "=AND({Position}='{{ $('Webhook - Receive CV').item.json.body.position }}', {Active}=TRUE())" }, "typeVersion": 2 }, { "id": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57", "name": "AI Agent - Qualification Assessment", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 704, 352 ], "parameters": { "text": "=You are a recruitment AI assistant. Analyze if this candidate matches the job requirements.\n\nCandidate Profile:\n{{ $json.text }}\n\nJob Requirements:\n- Position: {{ $('Airtable - Get Job Requirements').item.json.Position }}\n- Required Experience: {{ $('Airtable - Get Job Requirements').item.json.Required_Experience }} years\n- Required Skills: {{ $('Airtable - Get Job Requirements').item.json.Required_Skills }}\n- Education Required: {{ $('Airtable - Get Job Requirements').item.json.Education_Required }}\n- Nice to Have: {{ $('Airtable - Get Job Requirements').item.json.Nice_To_Have }}\n\nProvide:\n1. Match Score (0-100)\n2. Qualification Status (Highly Qualified / Qualified / Potentially Qualified / Not Qualified)\n3. Strengths (3 key points)\n4. Gaps (areas where candidate doesn't meet requirements)\n5. Recommendation (Interview / Phone Screen / Reject)\n\nFormat as JSON: {\"match_score\": number, \"status\": string, \"strengths\": [string], \"gaps\": [string], \"recommendation\": string, \"reasoning\": string}", "options": { "systemMessage": "You are an expert recruitment AI that provides objective, fair candidate assessments based on qualifications and job requirements." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "2f34882a-fce9-4f89-9563-438f9aa82795", "name": "OpenAI Chat Model Assessment", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 704, 576 ], "parameters": { "model": "gpt-4o", "options": { "temperature": 0.3 } }, "typeVersion": 1 }, { "id": "c68e5f48-5033-45f5-b7a7-75bfa8f472b6", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 864, 576 ], "parameters": {}, "typeVersion": 1.2 }, { "id": "259d8989-fd79-402d-8993-00eafc43e86c", "name": "Airtable - Update Assessment", "type": "n8n-nodes-base.airtable", "position": [ 976, 352 ], "parameters": { "base": { "__rl": true, "mode": "list", "value": "appXXXXXXXXXXXXXX", "cachedResultName": "Candidates" }, "table": { "__rl": true, "mode": "list", "value": "tblCandidates", "cachedResultName": "Candidates" }, "columns": { "value": { "Skills": "={{ $('AI - Extract CV Data').item.json.skills.join(', ') }}", "Status": "={{ $json.recommendation === 'Reject' ? 'Rejected' : 'Qualified' }}", "AI_Gaps": "={{ $json.gaps.join(', ') }}", "Education": "={{ $('AI - Extract CV Data').item.json.education }}", "Match_Score": "={{ $json.match_score }}", "AI_Reasoning": "={{ $json.reasoning }}", "AI_Strengths": "={{ $json.strengths.join(', ') }}", "Years_Experience": "={{ $('AI - Extract CV Data').item.json.years_experience }}", "AI_Recommendation": "={{ $json.recommendation }}", "Qualification_Status": "={{ $json.status }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "update", "authentication": "oAuth2" }, "typeVersion": 2 }, { "id": "dda61fa4-8d96-40d3-aa9f-2feac1b03fe9", "name": "Filter - Qualified Candidates", "type": "n8n-nodes-base.filter", "position": [ 1136, 224 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "f8db4e5d-3c5e-4e0a-a0a5-d4c8e2d0a3f1", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $json.recommendation }}", "rightValue": "Reject" } ] } }, "typeVersion": 2.1 }, { "id": "eb06c596-bfed-4bd2-8d5d-6eec33740b1b", "name": "AI Agent - Generate Email", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1296, 224 ], "parameters": { "text": "=Generate a personalized recruitment email for this candidate.\n\nCandidate: {{ $('Airtable - Store Candidate').item.json.Name }}\nPosition: {{ $('Webhook - Receive CV').item.json.body.position }}\nMatch Score: {{ $json.match_score }}\nStatus: {{ $json.status }}\nRecommendation: {{ $json.recommendation }}\n\nKey Strengths:\n{{ $json.strengths.join('\\n') }}\n\nEmail should:\n- Be professional and warm\n- Congratulate them on their application\n- Mention 1-2 specific strengths that stood out\n- {{ $json.recommendation === 'Interview' ? 'Invite them for a formal interview' : 'Suggest a preliminary phone screening' }}\n- Include next steps\n- Be concise (150-200 words)\n\nProvide: {\"subject\": string, \"body\": string}", "options": { "systemMessage": "You are a professional recruitment communications specialist. Write engaging, personalized emails that make candidates feel valued." }, "promptType": "define" }, "typeVersion": 1.7 }, { "id": "558ed33e-f2e1-41a6-af31-699ba4324675", "name": "OpenAI Chat Model Email", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1296, 448 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1 }, { "id": "12222fa6-a277-4af1-8cbb-7b27c67ea2d0", "name": "Send Email - Candidate Outreach", "type": "n8n-nodes-base.emailSend", "position": [ 1584, 224 ], "webhookId": "88019c7f-4d4b-4fda-af01-f3021ccb399c", "parameters": { "options": {}, "subject": "={{ $json.subject }}", "toEmail": "={{ $('Airtable - Store Candidate').item.json.Email }}", "fromEmail": "user@example.com" }, "typeVersion": 2.1 }, { "id": "72a2753a-535f-4e77-9901-a4007124c76a", "name": "Filter - Interview Candidates", "type": "n8n-nodes-base.filter", "position": [ 1760, 224 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "a2c4f6e8-1b3d-4a7c-9e5f-0d8b2c4a6e1f", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $('AI Agent - Qualification Assessment').item.json.recommendation }}", "rightValue": "Interview" } ] } }, "typeVersion": 2.1 }, { "id": "0a7e25e8-767a-4e1f-ae2e-c398efabca7c", "name": "Google Calendar - Schedule Interview", "type": "n8n-nodes-base.googleCalendar", "position": [ 1984, 224 ], "parameters": { "end": "={{ $now.plus({ days: 3, hours: 1 }).toISO() }}", "start": "={{ $now.plus({ days: 3 }).toISO() }}", "calendar": { "__rl": true, "mode": "list", "value": "primary", "cachedResultName": "Primary" }, "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "7d6c9426-4719-4516-b8f5-dcd5e86170f3", "name": "Airtable - Update Interview Details", "type": "n8n-nodes-base.airtable", "position": [ 2208, 224 ], "parameters": { "base": { "__rl": true, "mode": "list", "value": "appXXXXXXXXXXXXXX", "cachedResultName": "Candidates" }, "table": { "__rl": true, "mode": "list", "value": "tblCandidates", "cachedResultName": "Candidates" }, "columns": { "value": { "Status": "Interview Scheduled", "Interview_Link": "={{ $json.hangoutLink }}", "Calendar_Event_ID": "={{ $json.id }}", "Interview_Scheduled": "={{ $json.start.dateTime }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "update", "authentication": "oAuth2" }, "typeVersion": 2 }, { "id": "993a2d90-9ec0-4ba5-9c3f-0704704dd8ae", "name": "Slack - Send Notification", "type": "n8n-nodes-base.slack", "position": [ 1664, 432 ], "webhookId": "e7445fd1-5292-4e82-923a-e979940ba3b3", "parameters": { "text": "=🎯 *New Candidate Processed*\n\n*Candidate:* {{ $('Airtable - Store Candidate').item.json.Name }}\n*Position:* {{ $('Webhook - Receive CV').item.json.body.position }}\n*Match Score:* {{ $('AI Agent - Qualification Assessment').item.json.match_score }}%\n*Status:* {{ $('AI Agent - Qualification Assessment').item.json.status }}\n*Recommendation:* {{ $('AI Agent - Qualification Assessment').item.json.recommendation }}\n\n*Key Strengths:*\n{{ $('AI Agent - Qualification Assessment').item.json.strengths.map((s, i) => `${i+1}. ${s}`).join('\\n') }}\n\n{{ $('AI Agent - Qualification Assessment').item.json.recommendation === 'Interview' ? '📅 *Interview Scheduled:* ' + $now.plus({ days: 3 }).toFormat('MMM dd, yyyy HH:mm') : '📞 *Next Step:* Phone screening' }}\n\n", "select": "channel", "channelId": { "__rl": true, "mode": "list", "value": "C0123456789", "cachedResultName": "#recruitment" }, "otherOptions": {} }, "typeVersion": 2.2 }, { "id": "9d640257-d798-4d6a-97ad-0e1344c459b9", "name": "Respond to Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [ 2384, 352 ], "parameters": { "options": {}, "respondWith": "json", "responseBody": "={{ {\n \"success\": true,\n \"candidate_id\": $('Airtable - Store Candidate').item.json.id,\n \"name\": $('Airtable - Store Candidate').item.json.Name,\n \"match_score\": $('AI Agent - Qualification Assessment').item.json.match_score,\n \"status\": $('AI Agent - Qualification Assessment').item.json.status,\n \"recommendation\": $('AI Agent - Qualification Assessment').item.json.recommendation,\n \"message\": \"Application processed successfully\"\n} }}" }, "typeVersion": 1.1 }, { "id": "1ca1599c-5e50-4231-b384-73e58678fce9", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -400, -80 ], "parameters": { "width": 480, "height": 640, "content": "## Introduction\nAutomate candidate evaluation from CV submission to interview booking. Perfect for HR teams and recruiters.\n## How It Works\nWebhook receives CVs, extracts Airtable data, AI assesses qualifications, filters candidates, sends emails, schedules Google Calendar interviews, and updates records.\n## Workflow Template\nWebhook → Airtable (Get Data) → AI Extract CV → AI Assessment → Filter Qualified → Generate Email → Send Email → Filter Interview Candidates → Schedule Calendar → Update Airtable → Slack Notification → Respond\n## Workflow Steps\n1. Receive & Store: Webhook receives CVs, saves to Airtable.\n2. Fetch & Download: Gets job criteria, downloads CVs.\n3. AI Assessment: Parses skills, scores candidates.\n4. Filter & Email: Routes qualified, sends messages.\n5. Schedule & Update: Books interviews, updates Airtable.\n6. Notify: Alerts via Slack, confirms status.\n## Setup Instructions\n1. **Webhook & Airtable:** Set URL, create tables, add credentials.\n2. **AI Configuration:** Add OpenAI key, define schema, customize scoring.\n3. **Communication:** Connect Gmail, Calendar, and Slack.\n" }, "typeVersion": 1 }, { "id": "7c2b3a99-8480-4344-a98f-7a223ad253ef", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 640, -80 ], "parameters": { "color": 6, "width": 448, "height": 384, "content": "\n## Prerequisites\n- Airtable account\n- OpenAI API key\n- Gmail and Google Calendar\n- Slack workspace (optional)\n\n## Customization\n- Multi-stage scheduling\n- ATS integration (Greenhouse, Lever)\n\n## Benefits\n- Reduces screening time by 90%\n- Ensures uniform evaluation\n- Cuts time-to-hire by 60%" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "32b604ba-da3d-49a1-89dc-7e8a37f787b7", "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI - Extract CV Data", "type": "ai_languageModel", "index": 0 } ] ] }, "AI - Extract CV Data": { "main": [ [ { "node": "AI Agent - Qualification Assessment", "type": "main", "index": 0 } ] ] }, "Webhook - Receive CV": { "main": [ [ { "node": "Airtable - Store Candidate", "type": "main", "index": 0 }, { "node": "HTTP Request - Download CV", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model Email": { "ai_languageModel": [ [ { "node": "AI Agent - Generate Email", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "AI Agent - Qualification Assessment", "type": "ai_outputParser", "index": 0 } ] ] }, "AI Agent - Generate Email": { "main": [ [ { "node": "Send Email - Candidate Outreach", "type": "main", "index": 0 } ] ] }, "Slack - Send Notification": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] }, "Airtable - Store Candidate": { "main": [ [ { "node": "Airtable - Get Job Requirements", "type": "main", "index": 0 } ] ] }, "HTTP Request - Download CV": { "main": [ [ { "node": "AI - Extract CV Data", "type": "main", "index": 0 } ] ] }, "Airtable - Update Assessment": { "main": [ [ { "node": "Filter - Qualified Candidates", "type": "main", "index": 0 }, { "node": "Slack - Send Notification", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model Assessment": { "ai_languageModel": [ [ { "node": "AI Agent - Qualification Assessment", "type": "ai_languageModel", "index": 0 } ] ] }, "Filter - Interview Candidates": { "main": [ [ { "node": "Google Calendar - Schedule Interview", "type": "main", "index": 0 } ] ] }, "Filter - Qualified Candidates": { "main": [ [ { "node": "AI Agent - Generate Email", "type": "main", "index": 0 } ] ] }, "Airtable - Get Job Requirements": { "main": [ [ { "node": "AI Agent - Qualification Assessment", "type": "main", "index": 0 } ] ] }, "Send Email - Candidate Outreach": { "main": [ [ { "node": "Filter - Interview Candidates", "type": "main", "index": 0 } ] ] }, "AI Agent - Qualification Assessment": { "main": [ [ { "node": "Airtable - Update Assessment", "type": "main", "index": 0 } ] ] }, "Airtable - Update Interview Details": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] }, "Google Calendar - Schedule Interview": { "main": [ [ { "node": "Airtable - Update Interview Details", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 1, "workflowInfo": { "nodeCount": 21, "nodeTypes": { "n8n-nodes-base.slack": { "count": 1 }, "n8n-nodes-base.filter": { "count": 2 }, "n8n-nodes-base.webhook": { "count": 1 }, "n8n-nodes-base.airtable": { "count": 4 }, "n8n-nodes-base.emailSend": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 2 }, "n8n-nodes-base.httpRequest": { "count": 1 }, "n8n-nodes-base.googleCalendar": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 2 }, "n8n-nodes-base.respondToWebhook": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 3 }, "@n8n/n8n-nodes-langchain.informationExtractor": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "Cheng Siong Chin", "username": "cschin", "bio": "Dr. Cheng Siong CHIN is an n8n workflow creator specializing in AI-powered automation, agent orchestration, and intelligent system integrations. He designs and builds end-to-end workflows that combine LLMs, APIs, and data pipelines to streamline complex processes and deliver production-ready automation solutions. Contact me to discuss custom AI workflows and agent architectures.\n", "verified": true, "links": [ "https://gravatar.com/mysticluminary9fa255f7f5" ], "avatar": "https://gravatar.com/avatar/54544f98e839bb9dd9a764ad1e6823eeddb6db5138d201e42f291a7b0a73303f?r=pg&d=retro&size=200" }, "nodes": [ { "id": 2, "icon": "file:airtable.svg", "name": "n8n-nodes-base.airtable", "codex": { "data": { "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-goals-level-up-your-vocabulary-with-vonage-and-n8n/", "icon": "🎯", "label": "2021 Goals: Level Up Your Vocabulary With Vonage and n8n" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/", "icon": "🔗", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": 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