AI駆動のGPT-4o-mini採用プロセス：レジュメからインタビュー手配まで

• •Slack Bot Token または Webhook URL
• •HTTP Webhookエンドポイント（n8nが自動生成）
• •Airtable API Key
• •ターゲットAPIの認証情報が必要な場合あり
• •OpenAI API Key

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  "name": "AI-Powered GPT-4o-mini Recruitment Pipeline: CV Screening to Interview Scheduler",
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            "Application_Date": "={{ $now.toISO() }}",
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      "position": [
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      "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}",
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        "subject": "={{ $json.subject }}",
        "toEmail": "={{ $('Airtable - Store Candidate').item.json.Email }}",
        "fromEmail": "recruitment@company.com"
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      "name": "Googleカレンダー - 面接調整",
      "type": "n8n-nodes-base.googleCalendar",
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      "parameters": {
        "end": "={{ $now.plus({ days: 3, hours: 1 }).toISO() }}",
        "start": "={{ $now.plus({ days: 3 }).toISO() }}",
        "calendar": {
          "__rl": true,
          "mode": "list",
          "value": "primary",
          "cachedResultName": "Primary"
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      "type": "n8n-nodes-base.airtable",
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          "mode": "list",
          "value": "appXXXXXXXXXXXXXX",
          "cachedResultName": "Candidates"
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        "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"
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        "options": {},
        "operation": "update",
        "authentication": "oAuth2"
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      "typeVersion": 2
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    {
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      "name": "Slack - 通知送信",
      "type": "n8n-nodes-base.slack",
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      "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<https://airtable.com/appXXXXXXXXXXXXXX/tblCandidates/{{ $('Airtable - Store Candidate').item.json.id }}|View in Airtable>",
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        "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} }}"
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        "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"
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      "parameters": {
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        "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%"
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