KI-gesteuerte Rekrutierungsprozess mit GPT-4o-mini: Von der Bewerbungsfilterung bis zur Interviewplanung

• •Slack Bot Token oder Webhook URL
• •HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
• •Airtable API Key
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •OpenAI API Key

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            "Email": "={{ $json.body.email }}",
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            "Application_Date": "={{ $now.toISO() }}",
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      "name": "KI-Agent - Qualifikationsbewertung",
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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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          "mode": "list",
          "value": "tblCandidates",
          "cachedResultName": "Candidates"
        },
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            "AI_Gaps": "={{ $json.gaps.join(', ') }}",
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            "Match_Score": "={{ $json.match_score }}",
            "AI_Reasoning": "={{ $json.reasoning }}",
            "AI_Strengths": "={{ $json.strengths.join(', ') }}",
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            "AI_Recommendation": "={{ $json.recommendation }}",
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        "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": {
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          "name": "OpenAi account 2"
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      "name": "Send E-Mail - Candidate Outreach",
      "type": "n8n-nodes-base.emailSend",
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      "webhookId": "88019c7f-4d4b-4fda-af01-f3021ccb399c",
      "parameters": {
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        "subject": "={{ $json.subject }}",
        "toEmail": "={{ $('Airtable - Store Candidate').item.json.Email }}",
        "fromEmail": "recruitment@company.com"
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      "type": "n8n-nodes-base.filter",
      "position": [
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      "name": "Google Kalender - Interview planen",
      "type": "n8n-nodes-base.googleCalendar",
      "position": [
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      "parameters": {
        "end": "={{ $now.plus({ days: 3, hours: 1 }).toISO() }}",
        "start": "={{ $now.plus({ days: 3 }).toISO() }}",
        "calendar": {
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          "mode": "list",
          "value": "primary",
          "cachedResultName": "Primary"
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        "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"
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        "options": {},
        "operation": "update",
        "authentication": "oAuth2"
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      "name": "Slack - Benachrichtigung senden",
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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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        "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} }}"
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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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        "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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