{"workflow":{"id":14686,"name":"Screen resumes with OpenAI GPT‑4.1 and route candidates via Gmail, Slack and Sheets","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-03T17:42:54.899Z","description":"\n## Overview\nThis workflow automates the resume screening process using AI, enabling faster and more consistent candidate evaluation. It analyzes uploaded resumes, scores candidates based on job fit, and automatically routes them into acceptance, rejection, or manual review flows.\n\nBy combining AI scoring, decision logic, and automated communication, this workflow helps HR teams save time, reduce bias, and streamline hiring operations.\n\n---\n\n## How It Works\n\n1. **Webhook Trigger**\n   - Receives resume uploads along with candidate details.\n\n2. **Workflow Configuration**\n   - Defines:\n     - Target job role\n     - Acceptance threshold\n     - Borderline threshold\n\n3. **Resume Extraction**\n   - Extracts text from uploaded PDF resumes.\n\n4. **Data Preparation**\n   - Structures candidate name, email, and resume content.\n\n5. **AI Resume Scoring**\n   - AI evaluates candidate based on:\n     - Skills match (40%)\n     - Experience (35%)\n     - Education (15%)\n     - Overall fit (10%)\n   - Returns:\n     - Score (0–100)\n     - Decision (accept / reject / borderline)\n     - Reason\n\n6. **Decision Routing**\n   - Accept → proceed to acceptance flow  \n   - Borderline → escalate for review  \n   - Reject → send rejection  \n\n7. **Action Flows**\n   - **Accepted Candidates**\n     - Send acceptance email\n     - Log to Google Sheets\n\n   - **Rejected Candidates**\n     - Send rejection email\n     - Log to Google Sheets\n\n   - **Borderline Candidates**\n     - Notify HR via Slack\n     - Log as escalated in Google Sheets\n\n---\n\n## Setup Instructions\n\n1. **Webhook Setup**\n   - Configure the webhook endpoint (`resume-upload`)\n   - Connect it to your application or form\n\n2. **OpenAI Credentials**\n   - Add API credentials for resume scoring\n\n3. **Gmail Integration**\n   - Connect Gmail account for sending emails\n\n4. **Slack Setup**\n   - Configure Slack credentials\n   - Set HR review channel\n\n5. **Google Sheets**\n   - Connect your Google account\n   - Create a sheet for candidate tracking\n\n6. **Customize Parameters**\n   - Set job role\n   - Adjust:\n     - Acceptance threshold (e.g., 75)\n     - Borderline threshold (e.g., 50)\n\n---\n\n## Use Cases\n\n- Automated resume screening for HR teams  \n- High-volume hiring pipelines  \n- Startup hiring automation  \n- Candidate pre-filtering before interviews  \n- AI-assisted recruitment workflows  \n\n---\n\n## Requirements\n\n- OpenAI API key  \n- Gmail account  \n- Slack workspace (optional)  \n- Google Sheets account  \n- n8n instance  \n\n---\n\n## Key Features\n\n- AI-powered resume evaluation  \n- Structured scoring and decision output  \n- Automated candidate communication  \n- Slack-based human review escalation  \n- Centralized tracking in Google Sheets  \n- Configurable thresholds and job roles  \n\n---\n\n## Summary\n\nA complete AI-driven hiring assistant that evaluates resumes, scores candidates, and automates decision-making workflows. It reduces manual screening effort while ensuring consistent and scalable recruitment processes.","workflow":{"meta":{"instanceId":"48aac30adfc5487a33ef16e0e958096f27cef40df3ed0febcbe1ca199e789786"},"nodes":[{"id":"54e48d92-7243-49f9-8830-65593d5b48fb","name":"Resume Upload Webhook","type":"n8n-nodes-base.webhook","position":[-1808,192],"webhookId":"e302f927-10c3-414a-b020-9f844737a1d9","parameters":{"path":"resume-upload","options":{},"httpMethod":"POST","responseMode":"lastNode"},"typeVersion":2.1},{"id":"0d0dbd85-ed7e-43c5-80b3-e7ec638b6d09","name":"Workflow Configuration","type":"n8n-nodes-base.set","position":[-1600,192],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"jobRole","type":"string","value":"<__PLACEHOLDER_VALUE__Job role to match against (e.g., Software Engineer, Data Analyst)__>"},{"id":"id-2","name":"acceptanceThreshold","type":"number","value":75},{"id":"id-3","name":"borderlineThreshold","type":"number","value":50}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"c7868f26-70f2-4f1a-9bab-b13c095f2a21","name":"Extract Resume Text","type":"n8n-nodes-base.extractFromFile","position":[-1312,192],"parameters":{"options":{},"operation":"pdf"},"typeVersion":1.1},{"id":"573870a0-feef-45b8-9512-dd589c23f0f3","name":"Prepare Resume Data","type":"n8n-nodes-base.set","position":[-1024,192],"parameters":{"options":{},"assignments":{"assignments":[{"id":"id-1","name":"resumeText","type":"string","value":"={{ $json.text }}"},{"id":"id-2","name":"candidateName","type":"string","value":"={{ $json.body.candidateName || \"Unknown\" }}"},{"id":"id-3","name":"candidateEmail","type":"string","value":"={{ $json.body.candidateEmail || \"\" }}"}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"320083a3-5d5f-4fb9-9196-adb740ede4ef","name":"AI Resume Scorer","type":"@n8n/n8n-nodes-langchain.agent","position":[-768,192],"parameters":{"text":"=Job Role: {{ $('Workflow Configuration').first().json.jobRole }}\n\nCandidate Name: {{ $json.candidateName }}\n\nResume Text:\n{{ $json.resumeText }}","options":{"systemMessage":"You are an expert HR resume screening assistant. Your task is to evaluate resumes against job requirements and provide objective, unbiased scoring.\n\nYour evaluation process:\n1. Analyze the resume text for relevant skills, experience, and qualifications\n2. Match the candidate's background against the specified job role requirements\n3. Evaluate technical skills, years of experience, education, and role relevance\n4. Generate a score from 0-100 based on:\n   - Skills match (40%)\n   - Experience level and relevance (35%)\n   - Education and certifications (15%)\n   - Overall fit (10%)\n5. Provide a clear decision: accept, reject, or borderline\n6. Write a brief reason explaining your scoring\n\nIMPORTANT: Ensure your evaluation is fair, objective, and free from bias. Focus only on qualifications and job fit."},"promptType":"define","hasOutputParser":true},"typeVersion":3},{"id":"681dae0b-1442-4237-a30c-0cf86495d934","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[-784,432],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{},"builtInTools":{}},"typeVersion":1.3},{"id":"1c1b52f0-d92f-4742-a677-a2e7d762ab1f","name":"Structured Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[-560,432],"parameters":{"schemaType":"manual","inputSchema":"{\n  \"type\": \"object\",\n  \"properties\": {\n    \"score\": {\n      \"type\": \"number\",\n      \"description\": \"Score from 0 to 100\"\n    },\n    \"decision\": {\n      \"type\": \"string\",\n      \"enum\": [\"accept\", \"reject\", \"borderline\"],\n      \"description\": \"Final decision\"\n    },\n    \"reason\": {\n      \"type\": \"string\",\n      \"description\": \"Brief explanation of the scoring decision\"\n    }\n  },\n  \"required\": [\"score\", \"decision\", \"reason\"]\n}"},"typeVersion":1.3},{"id":"687eab63-7a6d-4237-bcd3-8b2af319028e","name":"Check Score - Accept","type":"n8n-nodes-base.if","position":[-384,224],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"id-1","operator":{"type":"number","operation":"gte"},"leftValue":"={{ $json.score }}","rightValue":"={{ $('Workflow Configuration').first().json.acceptanceThreshold }}"}]}},"typeVersion":2.3},{"id":"ef3d216f-e25d-4b23-8054-27c9d1b81429","name":"Check Score - Borderline","type":"n8n-nodes-base.if","position":[-208,-144],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"id-1","operator":{"type":"number","operation":"gte"},"leftValue":"={{ $json.score }}","rightValue":"={{ $('Workflow Configuration').first().json.borderlineThreshold }}"}]}},"typeVersion":2.3},{"id":"5f3f421b-9218-4d77-9f7f-0528cc6b64a3","name":"Send Acceptance Email","type":"n8n-nodes-base.gmail","position":[-112,464],"webhookId":"bae6306a-5bc7-4e8a-9151-4564cb4b10cc","parameters":{"sendTo":"={{ $json.candidateEmail }}","message":"=Dear {{ $json.candidateName }},\n\nThank you for applying! We are pleased to inform you that your resume has been reviewed and you have been selected to move forward in our hiring process.\n\nYour application scored {{ $json.score }}/100 for the {{ $('Workflow Configuration').first().json.jobRole }} position.\n\nOur team will be in touch shortly with next steps.\n\nBest regards,\nHiring Team","options":{},"subject":"Congratulations! Next Steps in Your Application"},"typeVersion":2.2},{"id":"05d970e1-b78f-4a7a-b657-6ac8404f9179","name":"Send Rejection Email","type":"n8n-nodes-base.gmail","position":[192,144],"webhookId":"30af356b-b807-47af-8e61-a92b70d96e00","parameters":{"sendTo":"={{ $json.candidateEmail }}","message":"=Dear {{ $json.candidateName }},\n\nThank you for taking the time to apply for the {{ $('Workflow Configuration').first().json.jobRole }} position.\n\nAfter careful review, we have decided to move forward with other candidates whose qualifications more closely match our current needs.\n\nWe appreciate your interest in our company and wish you the best in your job search.\n\nBest regards,\nHiring Team","options":{},"subject":"Thank You for Your Application"},"typeVersion":2.2},{"id":"15ab4362-fd77-4e2d-b6ec-15ab76f83283","name":"Notify HR - Borderline","type":"n8n-nodes-base.slack","position":[160,-160],"webhookId":"e392ebf9-054b-466f-bd15-fb6c2e7c3ee4","parameters":{"text":"=🔔 *Borderline Candidate Requires HR Review*\n\n*Candidate:* {{ $json.candidateName }}\n*Email:* {{ $json.candidateEmail }}\n*Role:* {{ $('Workflow Configuration').first().json.jobRole }}\n*Score:* {{ $json.score }}/100\n*Decision:* {{ $json.decision }}\n\n*Reason:*\n{{ $json.reason }}\n\nPlease review this candidate manually.","select":"channel","channelId":{"__rl":true,"mode":"name","value":"<__PLACEHOLDER_VALUE__Slack channel ID or name (e.g., #hr-reviews)__>"},"otherOptions":{}},"typeVersion":2.4},{"id":"fc763339-85a4-4f70-80e9-3b798dae237d","name":"Log to Google Sheets - Accept","type":"n8n-nodes-base.googleSheets","position":[144,464],"parameters":{"columns":{"value":{"role":"={{ $('Workflow Configuration').first().json.jobRole }}","email":"={{ $json.candidateEmail }}","notes":"={{ $json.reason }}","score":"={{ $json.score }}","status":"accepted","timestamp":"={{ $now.toISO() }}","candidate_name":"={{ $json.candidateName }}"},"schema":[{"id":"candidate_name","required":false,"displayName":"candidate_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"email","required":false,"displayName":"email","defaultMatch":true,"canBeUsedToMatch":true},{"id":"role","required":false,"displayName":"role","defaultMatch":false,"canBeUsedToMatch":true},{"id":"score","required":false,"displayName":"score","defaultMatch":false,"canBeUsedToMatch":true},{"id":"status","required":false,"displayName":"status","defaultMatch":false,"canBeUsedToMatch":true},{"id":"notes","required":false,"displayName":"notes","defaultMatch":false,"canBeUsedToMatch":true},{"id":"timestamp","required":false,"displayName":"timestamp","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["email"]},"options":{},"operation":"appendOrUpdate","sheetName":{"__rl":true,"mode":"name","value":"<__PLACEHOLDER_VALUE__Sheet name (e.g., Candidates)__>"},"documentId":{"__rl":true,"mode":"id","value":"<__PLACEHOLDER_VALUE__Google Sheets document ID__>"}},"typeVersion":4.7},{"id":"7ed3fd81-78c2-40cb-9ec8-c3b345938d4c","name":"Log to Google Sheets - Reject","type":"n8n-nodes-base.googleSheets","position":[512,144],"parameters":{"columns":{"value":{"role":"={{ $('Workflow Configuration').first().json.jobRole }}","email":"={{ $json.candidateEmail }}","notes":"={{ $json.reason }}","score":"={{ $json.score }}","status":"rejected","timestamp":"={{ $now.toISO() }}","candidate_name":"={{ $json.candidateName }}"},"schema":[{"id":"candidate_name","required":false,"displayName":"candidate_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"email","required":false,"displayName":"email","defaultMatch":true,"canBeUsedToMatch":true},{"id":"role","required":false,"displayName":"role","defaultMatch":false,"canBeUsedToMatch":true},{"id":"score","required":false,"displayName":"score","defaultMatch":false,"canBeUsedToMatch":true},{"id":"status","required":false,"displayName":"status","defaultMatch":false,"canBeUsedToMatch":true},{"id":"notes","required":false,"displayName":"notes","defaultMatch":false,"canBeUsedToMatch":true},{"id":"timestamp","required":false,"displayName":"timestamp","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["email"]},"options":{},"operation":"appendOrUpdate","sheetName":{"__rl":true,"mode":"name","value":"<__PLACEHOLDER_VALUE__Sheet name (e.g., Candidates)__>"},"documentId":{"__rl":true,"mode":"id","value":"<__PLACEHOLDER_VALUE__Google Sheets document ID__>"}},"typeVersion":4.7},{"id":"bcfedb2e-c90d-4c36-9b2b-f77583a81512","name":"Log to Google Sheets - Borderline","type":"n8n-nodes-base.googleSheets","position":[448,-160],"parameters":{"columns":{"value":{"role":"={{ $('Workflow Configuration').first().json.jobRole }}","email":"={{ $json.candidateEmail }}","notes":"={{ $json.reason }}","score":"={{ $json.score }}","status":"escalated","timestamp":"={{ $now.toISO() }}","candidate_name":"={{ $json.candidateName }}"},"schema":[{"id":"candidate_name","required":false,"displayName":"candidate_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"email","required":false,"displayName":"email","defaultMatch":true,"canBeUsedToMatch":true},{"id":"role","required":false,"displayName":"role","defaultMatch":false,"canBeUsedToMatch":true},{"id":"score","required":false,"displayName":"score","defaultMatch":false,"canBeUsedToMatch":true},{"id":"status","required":false,"displayName":"status","defaultMatch":false,"canBeUsedToMatch":true},{"id":"notes","required":false,"displayName":"notes","defaultMatch":false,"canBeUsedToMatch":true},{"id":"timestamp","required":false,"displayName":"timestamp","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":["email"]},"options":{},"operation":"appendOrUpdate","sheetName":{"__rl":true,"mode":"name","value":"<__PLACEHOLDER_VALUE__Sheet name (e.g., Candidates)__>"},"documentId":{"__rl":true,"mode":"id","value":"<__PLACEHOLDER_VALUE__Google Sheets document ID__>"}},"typeVersion":4.7},{"id":"90b27025-6acf-434b-8a85-037b5b86b74a","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-2480,48],"parameters":{"width":528,"height":496,"content":"## How it works\nThis workflow automates resume screening using AI. When a candidate uploads a resume via webhook, the system extracts the text and evaluates it against a target job role.\n\nAn AI agent scores the candidate (0–100) based on skills, experience, education, and overall fit. Based on thresholds, candidates are automatically categorized as accepted, rejected, or borderline.\n\nAccepted candidates receive a success email, rejected candidates receive a polite rejection, and borderline candidates are flagged for manual HR review via Slack.\n\nAll outcomes are logged into Google Sheets for tracking and audit.\n\n## Setup steps\n- Configure webhook for resume upload\n- Add OpenAI API credentials\n- Set Gmail and Slack credentials\n- Connect Google Sheets for logging\n- Define job role and score thresholds"},"typeVersion":1},{"id":"24f4ab89-d3e2-4b4d-a93c-ddbab29fb597","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1904,96],"parameters":{"color":7,"width":464,"height":272,"content":"## Input Layer\nWebhook receives resume and Define job role and scoring thresholds"},"typeVersion":1},{"id":"a54cdfac-f715-4184-aeca-365970ed6473","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-1072,96],"parameters":{"color":7,"width":256,"height":272,"content":"## Resume Processing\nExtract and structure resume text data"},"typeVersion":1},{"id":"d226c39b-4ca2-45eb-81a8-9dcbd194846a","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-1408,96],"parameters":{"color":7,"width":304,"height":272},"typeVersion":1},{"id":"cdc8dcd5-5759-4d55-99e8-fa79481bbf81","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[80,-256],"parameters":{"color":7,"width":576,"height":272,"content":"## Borderline Flow\nNotify HR in Slack for manual review"},"typeVersion":1},{"id":"2f8eb1ca-bd70-455f-b4f1-becdf1256236","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[80,64],"parameters":{"color":7,"width":624,"height":272,"content":"## Rejection email and logging \nSend rejection email and log to sheets"},"typeVersion":1},{"id":"47a40211-2d57-4d3f-b965-3c177e365335","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[-144,384],"parameters":{"color":7,"width":512,"height":272,"content":"## accepted resumes\nSend acceptance email and log to sheets"},"typeVersion":1},{"id":"2b10200c-3c9b-4435-ad4c-3282fcc4e70c","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[-784,32],"parameters":{"color":7,"width":304,"height":320,"content":"## AI Evaluation\nScore candidate and generate decision"},"typeVersion":1},{"id":"28c4899e-1a63-4f15-92cc-333de906e766","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[-448,96],"parameters":{"color":7,"width":304,"height":272,"content":"## Decision Routing\nRoute candidates based on score thresholds"},"typeVersion":1},{"id":"0162d169-9a1e-4085-9997-d911b56d6813","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[-304,-224],"parameters":{"color":7,"width":304,"height":272,"content":"## flow for low or borderline scored resumes"},"typeVersion":1}],"pinData":{},"connections":{"AI Resume Scorer":{"main":[[{"node":"Check Score - 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