HireMind – KI-gesteuerter Lebenslauf-Verarbeitungsprozess
Dies ist ein HR, AI Summarization-Bereich Automatisierungsworkflow mit 26 Nodes. Hauptsächlich werden If, Code, Slack, SendGrid, FormTrigger und andere Nodes verwendet. HR-KI-Lebenslauf-Screening und -Bewertung: GPT-4 und Google Workspace
- •Slack Bot Token oder Webhook URL
- •Google Drive API-Anmeldedaten
- •Google Sheets API-Anmeldedaten
- •OpenAI API Key
Verwendete Nodes (26)
Kategorie
{
"id": "vuGh0YMfK0iP9dnY",
"meta": {
"instanceId": "4a2e6764ba7a6bc9890d9225f4b21d570ce88fc9bd57549c89057fcee58fed0f",
"templateId": "5453",
"templateCredsSetupCompleted": true
},
"name": "HireMind – AI-Driven Resume Intelligence Pipeline",
"tags": [],
"nodes": [
{
"id": "46d85862-de79-4a46-9b59-f27194375af4",
"name": "Notizzettel1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-960,
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],
"parameters": {
"width": 572,
"height": 84,
"content": "## 1. Candidate submit application form (profile & position"
},
"typeVersion": 1
},
{
"id": "aa6b6b3f-58ca-4c07-8265-85e3f3278842",
"name": "Notizzettel5",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
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],
"parameters": {
"width": 440,
"height": 592,
"content": "## 4. HR AI Agent evaluate candidate matching based on profile & job description\n- Evaluate candidate profile against the selected position job description (download from google drive)\n- Output follow structured template (defined by JSON)"
},
"typeVersion": 1
},
{
"id": "244d87cc-877a-4080-bb9b-6ea44aa76540",
"name": "Bewerbungsformular",
"type": "n8n-nodes-base.formTrigger",
"position": [
-544,
2096
],
"webhookId": "c0f02df1-9bf8-468f-a33d-e67655bfa920",
"parameters": {
"options": {
"customCss": ":root {\n\t--font-family: 'Open Sans', sans-serif;\n\t--font-weight-normal: 400;\n\t--font-weight-bold: 600;\n\t--font-size-body: 12px;\n\t--font-size-label: 14px;\n\t--font-size-test-notice: 12px;\n\t--font-size-input: 14px;\n\t--font-size-header: 20px;\n\t--font-size-paragraph: 14px;\n\t--font-size-link: 12px;\n\t--font-size-error: 12px;\n\t--font-size-html-h1: 28px;\n\t--font-size-html-h2: 20px;\n\t--font-size-html-h3: 16px;\n\t--font-size-html-h4: 14px;\n\t--font-size-html-h5: 12px;\n\t--font-size-html-h6: 10px;\n\t--font-size-subheader: 14px;\n\n\t/* Colors */\n\t--color-background: #fbfcfe;\n\t--color-test-notice-text: #e6a23d;\n\t--color-test-notice-bg: #fefaf6;\n\t--color-test-notice-border: #f6dcb7;\n\t--color-card-bg: #ffffff;\n\t--color-card-border: #dbdfe7;\n\t--color-card-shadow: rgba(99, 77, 255, 0.06);\n\t--color-link: #7e8186;\n\t--color-header: #525356;\n\t--color-label: #555555;\n\t--color-input-border: #dbdfe7;\n\t--color-input-text: #71747A;\n\t--color-focus-border: rgb(90, 76, 194);\n\t--color-submit-btn-bg: #0000FF; /* Changed to blue */\n\t--color-submit-btn-text: #ffffff;\n\t--color-error: #ea1f30;\n\t--color-required: #ff6d5a;\n\t--color-clear-button-bg: #7e8186;\n\t--color-html-text: #555;\n\t--color-html-link: #ff6d5a;\n\t--color-header-subtext: #7e8186;\n\n\t/* Border Radii */\n\t--border-radius-card: 8px;\n\t--border-radius-input: 6px;\n\t--border-radius-clear-btn: 50%;\n\t--card-border-radius: 8px;\n\n\t/* Spacing */\n\t--padding-container-top: 24px;\n\t--padding-card: 24px;\n\t--padding-test-notice-vertical: 12px;\n\t--padding-test-notice-horizontal: 24px;\n\t--margin-bottom-card: 16px;\n\t--padding-form-input: 12px;\n\t--card-padding: 24px;\n\t--card-margin-bottom: 16px;\n\n\t/* Dimensions */\n\t--container-width: 448px;\n\t--submit-btn-height: 48px;\n\t--checkbox-size: 18px;\n\n\t/* Others */\n\t--box-shadow-card: 0px 4px 16px 0px var(--color-card-shadow);\n\t--opacity-placeholder: 0.5;\n}\n",
"appendAttribution": false
},
"formTitle": "Candidate Form",
"formFields": {
"values": [
{
"fieldLabel": "Name",
"placeholder": "Name"
},
{
"fieldType": "email",
"fieldLabel": "Email",
"placeholder": "Email"
},
{
"fieldType": "file",
"fieldLabel": "CV",
"requiredField": true,
"acceptFileTypes": ".pdf"
},
{
"fieldType": "dropdown",
"fieldLabel": "Job Role",
"fieldOptions": {
"values": [
{
"option": "Talent acquisition Specialist (Intermediate)"
},
{
"option": "Senior Tester/QC (Web Apps, Mobile, API, Database)"
},
{
"option": "Lead Full-stack Developer (.NET, Angular/React.js)"
}
]
},
"requiredField": true
}
]
},
"formDescription": "Please ,fill the required fields , and we'll get in touch with you soon !"
},
"typeVersion": 2.2
},
{
"id": "abf322d8-4656-41cc-85da-6224131078fa",
"name": "Profil extrahieren",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-320,
2224
],
"parameters": {
"options": {},
"operation": "pdf",
"binaryPropertyName": "CV"
},
"typeVersion": 1
},
{
"id": "25ff720c-6af7-4be9-9043-1a41577c9df3",
"name": "json Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
64,
2416
],
"parameters": {
"jsonSchemaExample": "{\n \"full_name\": \"\",\n \"job_title\": \"\",\n \"summary\": \"\",\n \"contact\": {\n \"email\": \"\",\n \"phone\": \"\",\n \"address\": \"\",\n \"linkedin\": \"\",\n \"website\": \"\"\n },\n \"education\": [\n {\n \"degree\": \"\",\n \"field_of_study\": \"\",\n \"institution\": \"\",\n \"location\": \"\",\n \"start_year\": \"\",\n \"end_year\": \"\"\n }\n ],\n \"certifications\": [\n {\n \"name\": \"\",\n \"issuer\": \"\",\n \"date_obtained\": \"\",\n \"expiration_date\": \"\"\n }\n ],\n \"work_experience\": [\n {\n \"company\": \"\",\n \"position\": \"\",\n \"location\": \"\",\n \"start_date\": \"\",\n \"end_date\": \"\",\n \"responsibilities\": [\n \"\"\n ],\n \"achievements\": [\n \"\"\n ]\n }\n ],\n \"skills\": {\n \"technical_skills\": [\n \"\"\n ],\n \"soft_skills\": [\n \"\"\n ],\n \"languages\": [\n {\n \"language\": \"\",\n \"proficiency\": \"\"\n }\n ],\n \"tools_and_technologies\": [\n \"\"\n ]\n },\n \"projects\": [\n {\n \"name\": \"\",\n \"description\": \"\",\n \"technologies_used\": [\n \"\"\n ],\n \"role\": \"\",\n \"duration\": \"\"\n }\n ],\n \"awards\": [\n {\n \"title\": \"\",\n \"issuer\": \"\",\n \"date\": \"\",\n \"description\": \"\"\n }\n ],\n \"volunteer_experience\": [\n {\n \"organization\": \"\",\n \"role\": \"\",\n \"description\": \"\",\n \"start_date\": \"\",\n \"end_date\": \"\"\n }\n ],\n \"additional_information\": {\n \"availability\": \"\",\n \"preferred_location\": \"\",\n \"salary_expectation\": \"\",\n \"work_authorization\": \"\",\n \"other_notes\": \"\"\n }\n}"
},
"typeVersion": 1.3
},
{
"id": "54f9011b-e706-4472-b574-264836bbbedc",
"name": "gpt4-1 Modell",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-64,
2416
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "PPSwAKeLQYgAPobT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "f27eb081-8fe1-4a8c-88ca-1747047bf3f2",
"name": "Stellenbeschreibung abrufen",
"type": "n8n-nodes-base.googleSheets",
"position": [
304,
2192
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "={{ $('Application form').item.json['Job Role'] }}",
"lookupColumn": "Job Role"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/15CZPMbxmz-RVYji1fev_6vYeEwpPa3MjewGEPf6aSoA/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "15CZPMbxmz-RVYji1fev_6vYeEwpPa3MjewGEPf6aSoA",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/15CZPMbxmz-RVYji1fev_6vYeEwpPa3MjewGEPf6aSoA/edit?usp=drivesdk",
"cachedResultName": "Positions"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "L670Nly6gZGo71br",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6,
"alwaysOutputData": true
},
{
"id": "0c906e55-f6ec-44ef-b5ff-fdd1443fe079",
"name": "Datei herunterladen",
"type": "n8n-nodes-base.googleDrive",
"position": [
528,
2192
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "url",
"value": "={{ $json['Job Description'] }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "fC471es5gk5Mm900",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "5a8e8116-feaa-4007-abdb-91a2a12bbce8",
"name": "Stellenbeschreibung extrahieren",
"type": "n8n-nodes-base.extractFromFile",
"position": [
752,
2192
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "f9b079d1-d15c-4deb-b71f-57222761f031",
"name": "Notizzettel",
"type": "n8n-nodes-base.stickyNote",
"position": [
-368,
1888
],
"parameters": {
"width": 588,
"height": 676,
"content": "## 2. Candidate profile analyzer\n- Upload candidate profile to Google Drive folder for later processing\n- Extract candidate information from PDF file\n- Transform candidate information to expected JSON format for later use (send message, add to evaluation sheet)"
},
"typeVersion": 1
},
{
"id": "f1dbe09a-7e98-453f-8715-afb810a769be",
"name": "Notizzettel2",
"type": "n8n-nodes-base.stickyNote",
"position": [
272,
1984
],
"parameters": {
"width": 636,
"height": 372,
"content": "## 3. Download selected job description\n- Get position name & job description URL from google sheet based on candidate application form\n- Download job description file from Google Drive\n- Extract data from job description PDF file to be used in the next steps"
},
"typeVersion": 1
},
{
"id": "71fb65f2-972a-4dc3-8dd3-ba74b456f7fe",
"name": "Notizzettel6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1488,
1920
],
"parameters": {
"width": 824,
"height": 768,
"content": "## 5. Update evaluation result to target platform\n- Candidate with overall fit score under 8 will be considered as unqualified, config in the \"Candidate qualified\" node\n- Send message to Slack, Email\n- Add new rows in CV evaluation tracking sheet (Google Drive), you need config \"Update evaluation sheet\" node with your own URL (empty sheet, column header and rows will be auto-populated)"
},
"typeVersion": 1
},
{
"id": "b30b9cbd-bffd-4a5b-8185-3334b9b2b8ad",
"name": "HR-Experten-Agent",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1040,
2192
],
"parameters": {
"text": "=Evaluate the candidate for the following job:\n\n--- Job Description ---\nPosition: {{ $('Download file').item.json['Job Role'] }}\nJob Description: {{ $('Extract Job Description').item.json.text }}\n------------------------\n\nBelow is the extracted candidate profile:\n{{ $('Extract profile').item.json.text }}",
"messages": {
"messageValues": [
{
"message": "You are a professional AI hiring assistant tasked with evaluating job candidates based on their structured resume data and a provided job description. Your goal is to assess the candidate’s suitability for the role, identifying key matches and gaps in skills, experience, and qualifications. You will receive: - `candidate_profile`: a JSON object containing extracted information from the candidate's resume. - `job_description`: a plain text description of the role. Your job is to: 1. Parse and understand the key job requirements (e.g., required skills, years of experience, qualifications). 2. Match the candidate's profile to the job requirements. 3. Provide a structured evaluation with ratings and reasoning. Always be objective, use professional language, and format your output clearly using markdown."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "1355a107-54ef-4136-9d63-d3b2a7273143",
"name": "Profilanalysator-Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-96,
2192
],
"parameters": {
"text": "=Please extract all relevant information from this candiadte:\nCV Content:\n===\n{{ $json[\"text\"] }}\n===",
"options": {
"systemMessage": ""
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.1
},
{
"id": "94149ee7-1845-4b7a-a2d3-09dea44b1670",
"name": "Bewertungsblatt aktualisieren",
"type": "n8n-nodes-base.googleSheets",
"position": [
1808,
2528
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "overall_fit_score",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "overall_fit_score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "recommendation",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "recommendation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "required_experience",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "required_experience",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "skill_match",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "skill_match",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "education_certifications",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "education_certifications",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "soft_skills_traits",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "soft_skills_traits",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "strengths",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "strengths",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "concerns_or_gaps",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "concerns_or_gaps",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "final_notes",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "final_notes",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [
"output"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/1gpuTL7iK2LoDJAdHE-LBFiBEU6hLqSTxWjThMJyi7SY/edit?usp=drive_link"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "L670Nly6gZGo71br",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "3a554846-b2b7-4880-9137-103be85ea072",
"name": "Spalten zuordnen",
"type": "n8n-nodes-base.code",
"position": [
1568,
2192
],
"parameters": {
"jsCode": "const evalResult = $input.first().json.output\nconst profile = $('Profile Analyzer Agent').first().json.output;\nreturn [\n {\n json: {\n full_name:profile.full_name,\n email: profile.contact.email,\n phone: profile.contact.phone,\n position: $('Application form').first().json['Job Role'],\n overall_fit_score: evalResult.overall_fit_score,\n recommendation: evalResult.recommendation,\n strengths: evalResult.strengths.join(', '),\n concerns_or_gaps: evalResult.concerns_or_gaps.join(', '),\n final_notes: evalResult.final_notes,\n submitted_date: $now.toFormat(\"yyyyLLdd-HHmmss\")\n }\n }\n];"
},
"typeVersion": 2
},
{
"id": "97f45dd9-1858-4ae3-854f-fd24404864d0",
"name": "Notizzettel3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-960,
2064
],
"parameters": {
"width": 364,
"height": 468,
"content": ""
},
"typeVersion": 1
},
{
"id": "d014e9a0-47c0-4106-8588-a240f2faaf2e",
"name": "In Google Drive hochladen",
"type": "n8n-nodes-base.googleDrive",
"position": [
-320,
2048
],
"parameters": {
"name": "=cv-{{ $now.toFormat(\"yyyyLLdd-HHmmss\") }}-{{ $json.CV[0].filename }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "url",
"value": "https://drive.google.com/drive/u/0/folders/1J9GnGlJ70ppf88eZGrhLIo3jxIaqT1u7"
},
"inputDataFieldName": "CV"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "fC471es5gk5Mm900",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "0251fd30-6d6c-4df9-9bae-11f2f29947bd",
"name": "gpt-4-1 Modell 2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1072,
2416
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "PPSwAKeLQYgAPobT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "8457927f-a7a4-458b-9bee-fa820fa60c3f",
"name": "json Parser 2",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1200,
2416
],
"parameters": {
"jsonSchemaExample": "{\n \"overall_fit_score\": 0,\n \"recommendation\": \"\", \n \"job_match_summary\": {\n \"required_experience\": \"\",\n \"skill_match\": \"\",\n \"education_certifications\": \"\",\n \"soft_skills_traits\": \"\"\n },\n \"strengths\": [\n \"\"\n ],\n \"concerns_or_gaps\": [\n \"\"\n ],\n \"final_notes\": \"\"\n}"
},
"typeVersion": 1.3
},
{
"id": "cf545d77-0db6-4142-9cef-63e034f867d3",
"name": "Notizzettel7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2528,
1856
],
"parameters": {
"width": 1520,
"height": 2000,
"content": "## Try It Out, HireMind – AI-Driven Resume Intelligence Pipeline!\n### This n8n template demonstrates how to automate resume screening and evaluation using AI to improve candidate processing and reduce manual HR effort.\n- This workflow is ideal for HR teams and recruiters who want to streamline candidate screening by combining form submissions, resume parsing, job description matching, and AI evaluation into a single, automated process.\n\n---\n\n### How it works\n\n* A candidate submits their application using a form that includes name, email, CV (PDF), and a selected job role.\n* The CV is uploaded to Google Drive for record-keeping and later reference.\n* The **Profile Analyzer Agent** reads the uploaded resume, extracts structured candidate information, and transforms it into a standardized JSON format using GPT-4 and a custom output parser.\n* The corresponding job description PDF file is automatically retrieved from a Google Sheet based on the selected job role.\n* The **HR Expert Agent** evaluates the candidate profile against the job description using another GPT-4 model, generating a structured assessment that includes strengths, gaps, and an overall recommendation.\n* The evaluation result is parsed and formatted for output.\n* The evaluation score will be used to mark candidate as qualified or unqualified, based on that an email will be sent to applicant or the message will be send to hiring team for the next process\n* The final evaluation result will be stored in a Google Sheet for long-term tracking and reporting.\n\n### How to use\n\n#### Google drive structure\n\n├── jd # Google drive folder to store your JD (pdf)\n│ ├── Backend_Engineer.pdf\n│ ├── Azure_DevOps_Lead.pdf\n│ └── ...\n│\n├── cv # Google drive folder, where workflow upload candidate resume\n│ ├── John_Doe_DevOps.pdf\n│ ├── Jane_Smith_FullStack.pdf\n│ └── ...\n│\n├── Positions (Sample: https://docs.google.com/spreadsheets/d/1pW0muHp1NXwh2GiRvGVwGGRYCkcMR7z8NyS9wvSPYjs/edit?usp=sharing) # 📋 Mapping Table: Job Role ↔ Job Description (Link)\n│ └── Columns:\n│ - Job Role\n│ - Job Description File URL (PDF in `jd/`)\n│\n└── Evaluation form (Google Sheet) # ✅ Final AI Evaluation Results\n\n#### Usage\n \n### How to use\n\n1. **Set up credentials and integrations:**\n - Connect your **OpenAI** account (GPT-4 API).\n - Enable **Google Cloud APIs**:\n - Google Sheets API (for reading job roles and saving evaluation results)\n - Google Drive API (for storing CVs and job descriptions)\n - Set up **SendGrid** (to send email responses to candidates)\n - Connect **Slack** (to send messages to the hiring team)\n\n2. **Prepare your Google Drive structure:**\n - Create a root folder, then inside it create:\n - `/jd` → Store all job descriptions in PDF format \n - `/cv` → This is where candidate CVs will be uploaded automatically\n - Create a **Google Sheet** named `Positions` with the following structure:\n ```\n | Job Role | Job Description Link |\n |------------------------------|----------------------------------------|\n | Azure DevOps Engineer | https://drive.google.com/xxx/jd1.pdf |\n | Full-Stack Developer (.NET) | https://drive.google.com/xxx/jd2.pdf |\n ```\n\n3. **Update your application form:**\n - Use the built-in form, or connect your own (e.g., Typeform, Tally, Webflow, etc.)\n - Ensure the **Job Role** dropdown matches exactly the roles in the `Positions` sheet\n\n4. **Run the AI workflow:**\n - When a candidate submits the form:\n - Their CV is uploaded to the `/cv` folder\n - The job role is used to match the JD from `/jd`\n - The **Profile Analyzer Agent** extracts candidate info from the CV\n - The **HR Expert Agent** evaluates the candidate against the matched JD using GPT-4\n\n5. **Distribute and store results:**\n - Store the evaluation results in the `Evaluation form` Google Sheet\n - Optionally notify your team:\n - ✉️ Send an email to the candidate using SendGrid\n - 💬 Send a Slack message to the hiring team with a summary and next steps\n\n### Requirements\n\n* OpenAI GPT-4 account for both Profile Analyzer and HR Expert Agents\n* Google Drive account (for storing CVs and evaluation sheet)\n* Google Sheets API credentials (for JD source and evaluation results)\n\n### Need Help?\n\nJoin the [n8n Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [n8n Forum](https://community.n8n.io/)!\n\nHappy Hiring! 🚀"
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"toEmail": "={{ $json.email }}",
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"resource": "mail",
"fromEmail": "sender@example.com",
"contentType": "text/html",
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}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Personalwesen, KI-Zusammenfassung
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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