{ "id": "m3PR6pVKF4OpMgEr", "meta": { "templateCredsSetupCompleted": true }, "name": "Send job applications with Telegram, OpenAI, and Gmail", "tags": [ { "id": "L1ONQkjTRkmEpb1L", "name": "Prod", "createdAt": "2026-01-29T09:38:03.164Z", "updatedAt": "2026-01-29T09:38:03.164Z" } ], "nodes": [ { "id": "b07613f6-04cc-46e2-a105-11190f1c229f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -624, 320 ], "parameters": { "width": 500, "height": 520, "content": "## How it works\n\nThis workflow automates job applications through Telegram. Send a screenshot of any job posting to your Telegram bot, and AI will extract the job details, match them to your resume, and generate a personalized application email.\n\nThe bot analyzes the job requirements using OpenAI's vision API, compares them with your resume stored in OpenAI Files, then drafts a tailored email in the job's language. You review and approve the draft before it's sent via Gmail with your resume attached.\n\n## Setup steps\n\n1. Upload your resume to OpenAI Files API and note the file_id\n2. Upload your resume to Google Drive and note the file_id\n3. Create a Telegram bot via @BotFather and save the token\n4. Configure credentials in n8n: Telegram, OpenAI, Redis, Gmail, Google Drive\n5. Update the PayloadForReply node with your OpenAI resume file_id\n6. Update both Download Resume nodes with your Google Drive file_id\n7. Activate the workflow and send a job post screenshot to your bot" }, "typeVersion": 1 }, { "id": "7230dd49-f98e-4659-8562-109582963196", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -64, 320 ], "parameters": { "color": 7, "width": 347, "height": 220, "content": "## Input routing\n\nReceives job post images or callback confirmations from Telegram and routes to the appropriate path" }, "typeVersion": 1 }, { "id": "a0a21348-1d90-406b-bfb2-dcd1329f5121", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 432, 256 ], "parameters": { "color": 7, "width": 492, "height": 140, "content": "## AI analysis and email generation\n\nExtracts job details from image, matches with resume, and generates personalized application email" }, "typeVersion": 1 }, { "id": "bd5b5afa-1233-4223-b10d-f4d3b411513d", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1104, 256 ], "parameters": { "color": 7, "width": 480, "height": 140, "content": "## Draft storage and user confirmation\n\nStores email draft in Redis and sends preview to user with approval button" }, "typeVersion": 1 }, { "id": "a76700c9-8fcb-46d0-8de3-4196a198f273", "name": "Telegram Trigger", "type": "n8n-nodes-base.telegramTrigger", "position": [ -48, 624 ], "parameters": { "updates": [ "message", "callback_query" ], "additionalFields": { "download": true } }, "typeVersion": 1.2 }, { "id": "68bcb3ea-c5fa-4618-b5d9-8d1438d61e6c", "name": "Build AI request payload", "type": "n8n-nodes-base.code", "position": [ 624, 432 ], "parameters": { "jsCode": "// ---------- Inputs ----------\n/**\n * Expects a Telegram update upstream.\n * - Image is in binary (first binary key)\n * - Caption (optional) at $.message.caption or $.caption\n * - Optional \"insights\" (tone/length hints) at $.insights\n * Provide your uploaded resume file_id below.\n */\nconst inputItem = $('Telegram Trigger').first();\n\n// Detect first binary (photo)\nconst firstBinaryKey = Object.keys(inputItem.binary || {})[0];\nif (!firstBinaryKey) {\n throw new Error(\"No binary image found in input. Connect the job post image.\");\n}\nconst jobImageBinary = inputItem.binary[firstBinaryKey].data;\nconst jobImageMime = inputItem.binary[firstBinaryKey].mimeType || \"image/jpeg\";\nconst jobImageBase64 = `data:${jobImageMime};base64,${jobImageBinary}`;\n\n// Telegram caption (pass through verbatim; do NOT parse or regex)\nconst caption =\n inputItem.json?.message?.caption ??\n inputItem.json?.caption ??\n \"\";\n\n// Optional extra guidance from upstream\nconst insights = (inputItem.json?.insights ?? \"\").toString();\n\n// ---------- Config ----------\nconst MODEL = \"gpt-5.2\";\nconst resumeFileId = \"YOUR_OPENAI_FILE_ID_HERE\"; // <-- replace with your own file_id\nif (!resumeFileId?.startsWith(\"file-\")) {\n throw new Error(\"Invalid resume file_id. Upload your resume to OpenAI and update the constant.\");\n}\n\n// ---------- Prompts ----------\nconst systemPrompt = `\nYou are a job-application assistant.\n\nOnly pick ONE job offer to process \u2014 the one most clearly related to Data roles\n(Data Engineer, Data Analyst, Data Scientist, ML/AI, Analytics, BI, etc.) and best matching the attached resume.\n\nPriority of sources:\nP1) CAPTION (if provided) \u2014 treat as highest-priority instructions/hints.\n If CAPTION says to use a particular email (e.g., \"send to this email ...\"),\n use that email for recruiter_email even if the image shows a different one.\nP2) Job post IMAGE content.\nP3) Resume.\n\nTasks:\n1) Read the job post IMAGE and extract fields into the provided JSON schema.\n2) Use the CAPTION (P1) to override/guide decisions, including recruiter_email selection.\n3) Read the resume and identify:\n - The most relevant past experiences,\n - Concrete achievements,\n - Technical skills and tools,\n - Business impact that aligns with the job post.\n4) Using those findings, draft a concise, professional outreach email tailored to the role.\n - Explicitly highlight a few resume-backed experiences that match the job post.\n - Integrate them naturally (no lists, no bullet points).\n - Refine the language for clarity, professionalism, and human tone.\n5) Detect the job language and write the email in that language (FR post \u2192 FR email; else EN).\n\nOutput rules:\n- Be concise, warm, confident (no buzzwords, no generic AI clich\u00e9s).\n- Only claim skills and experiences supported by the resume.\n- If a field is missing, return \"\" for strings or [] for arrays (no hallucination).\n- Email body: ~120\u2013180 words unless INSIGHTS specify otherwise.\n- Emphasize relevance: relate my previous work directly to the job responsibilities.\n- Subject: ~6\u201310 words.\n- Plain text only (no markdown).\n`;\n\nconst userPrompt = `\nFrom the job image:\n- Extract all fields exactly as defined in the schema.\n- Recruiter email selection order:\n 1) Anything instructed in CAPTION (highest priority).\n 2) Otherwise use the recruiter/application email from the IMAGE.\n 3) Otherwise set recruiter_email to \"\".\n\nThen, using my resume:\n- Identify my most relevant past experiences and skills that match this role.\n- Incorporate those experiences naturally into the outreach email to show clear alignment.\n- Highlight achievements only if they appear in the resume.\n- Refine the email for clarity, flow, and professionalism.\n- Follow INSIGHTS (tone/length). If CAPTION and INSIGHTS conflict, CAPTION wins.\n\nReturn ONLY the JSON according to the schema (no extra text).\n`;\n\n// ---------- Build /v1/responses payload ----------\nconst payload = {\n model: MODEL,\n input: [\n {\n role: \"system\",\n content: [{ type: \"input_text\", text: systemPrompt.trim() }]\n },\n {\n role: \"user\",\n content: [\n { type: \"input_text\", text: userPrompt.trim() },\n\n // Provide CAPTION and INSIGHTS verbatim (no parsing)\n { type: \"input_text\", text: `CAPTION (P1): ${caption || \"(none)\"}` },\n { type: \"input_text\", text: `INSIGHTS: ${insights || \"(none)\"}` },\n\n // Image to parse\n { type: \"input_image\", image_url: jobImageBase64 },\n\n // Resume file reference\n { type: \"input_file\", file_id: resumeFileId }\n ]\n }\n ],\n text: {\n format: {\n type: \"json_schema\",\n name: \"job_apply_payload_v1\",\n strict: true,\n schema: {\n type: \"object\",\n additionalProperties: false,\n properties: {\n job_fields: {\n type: \"object\",\n additionalProperties: false,\n properties: {\n title: { type: \"string\" },\n company: { type: \"string\" },\n location: { type: \"string\" },\n seniority: { type: \"string\" },\n employment_type: { type: \"string\" },\n language: { type: \"string\" },\n requirements: { type: \"array\", items: { type: \"string\" } },\n nice_to_have: { type: \"array\", items: { type: \"string\" } },\n salary_range: { type: \"string\" },\n posted_date: { type: \"string\" },\n recruiter_email: { type: \"string\" }\n },\n required: [\n \"title\",\n \"company\",\n \"location\",\n \"seniority\",\n \"employment_type\",\n \"language\",\n \"requirements\",\n \"nice_to_have\",\n \"salary_range\",\n \"posted_date\",\n \"recruiter_email\"\n ]\n },\n email_subject: { type: \"string\" },\n email_body: { type: \"string\" }\n },\n required: [\"job_fields\", \"email_subject\", \"email_body\"]\n }\n }\n },\n max_output_tokens: 1000\n};\n\nreturn { json: { payload } };" }, "typeVersion": 2 }, { "id": "dda0833a-5fbd-46d1-b36b-34833f30042f", "name": "Call OpenAI API", "type": "n8n-nodes-base.httpRequest", "position": [ 848, 432 ], "parameters": { "url": "https://api.openai.com/v1/responses", "method": "POST", "options": {}, "jsonBody": "={{ $json.payload }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "openAiApi" }, "typeVersion": 4.2 }, { "id": "4cc46606-de4f-402f-beb6-76ea7a433e18", "name": "Parse AI response", "type": "n8n-nodes-base.code", "position": [ 1072, 432 ], "parameters": { "jsCode": "const raw = $json.output?.[0]?.content?.[0]?.text || '{}';\nlet parsed;\ntry { parsed = JSON.parse(raw); }\ncatch (e) { throw new Error(\"Failed to parse model JSON: \" + e.message + \"\\nRaw: \" + raw); }\nreturn { json: parsed };\n// -> json.job_fields.*, json.email_subject, json.email_body" }, "typeVersion": 2 }, { "id": "993f7770-de8b-404a-91f7-8da9f28a6e66", "name": "Store draft in Redis", "type": "n8n-nodes-base.redis", "position": [ 1296, 432 ], "parameters": { "key": "={{ $json.job_fields.title.replaceAll(\" \",\"\") }}", "ttl": 900, "value": "={{ JSON.stringify({\n Offer: $json.job_fields.title,\n Subject: $json.email_subject,\n Recruiter: $json.job_fields.recruiter_email,\n Email: $json.email_body\n}) }}", "expire": true, "keyType": "string", "operation": "set" }, "typeVersion": 1 }, { "id": "1f2c1707-3320-4117-acf3-ffb0a90201b7", "name": "Send preview to Telegram", "type": "n8n-nodes-base.telegram", "position": [ 1520, 432 ], "parameters": { "text": "=\u2728 *Confirm The Job Apply!* \u2728\n\n\ud83d\udcbc *Offer:* {{ $json.job_fields.title }}\n\n\ud83d\udcdd *Subject:* {{ $('Parse AI response').item.json.email_subject }}\n\n\ud83d\udce7 *Recruiter:* {{ $json.job_fields.recruiter_email }}\n\n\ud83d\udc8c *Email Draft:* --------->\n\n\n{{ $('Parse AI response').item.json.email_body }}", "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}", "replyMarkup": "inlineKeyboard", "inlineKeyboard": { "rows": [ { "row": { "buttons": [ { "text": "Send The Email", "additionalFields": { "callback_data": "={{ $('Parse AI response').item.json.job_fields.title.replaceAll(\" \",\"\") }}" } } ] } } ] }, "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "bc21e92c-3f22-4e2c-bc6d-466fe42c624f", "name": "Retrieve draft from Redis", "type": "n8n-nodes-base.redis", "position": [ 400, 720 ], "parameters": { "key": "={{ $json.callback_query.message.reply_markup.inline_keyboard[0][0].callback_data }}", "options": {}, "operation": "get" }, "typeVersion": 1 }, { "id": "6e490fa8-825f-4cf9-bc6d-17009186db01", "name": "Parse draft data", "type": "n8n-nodes-base.code", "position": [ 624, 720 ], "parameters": { "jsCode": "return items.map(i => {\n const p = JSON.parse(i.json.value || i.json.propertyName);\n return { json: { \n offer: p.Offer, subject: p.Subject, recruiter: p.Recruiter, email: p.Email \n }};\n});" }, "typeVersion": 2 }, { "id": "687dd808-e352-48ef-b1e6-39752e8df277", "name": "Download resume from Drive", "type": "n8n-nodes-base.googleDrive", "position": [ 848, 720 ], "parameters": { "fileId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_DRIVE_FILE_ID", "cachedResultUrl": "YOUR_RESUME_URL", "cachedResultName": "Your_Resume.pdf" }, "options": { "fileName": "Your_Resume.pdf", "binaryPropertyName": "Resume" }, "operation": "download" }, "typeVersion": 3 }, { "id": "0b57006e-2e50-40dd-b03d-74f7837d89f5", "name": "Notify immediate send", "type": "n8n-nodes-base.telegram", "position": [ 1072, 624 ], "parameters": { "text": "=\u2705 Congratulations, your Email to {{ $json.recruiter }} was sent. Good luck!", "chatId": "={{ $('Telegram Trigger').item.json.callback_query.message.chat.id }}", "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "1e37adf5-fa37-4433-9996-2f468bf99efb", "name": "Send email via Gmail", "type": "n8n-nodes-base.gmail", "position": [ 1744, 816 ], "parameters": { "sendTo": "={{ $json.recruiter }}", "message": "={{ $json.email }}", "options": {}, "subject": "={{ $json.subject }}", "emailType": "text" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.1 }, { "id": "8f5b6d41-3b35-4033-b8f4-bbfc9e19cdc7", "name": "Wait before scheduled send", "type": "n8n-nodes-base.wait", "position": [ 1296, 816 ], "parameters": { "amount": 10 }, "typeVersion": 1.1 }, { "id": "c98f6140-35b6-4132-b08f-21a8f25ccfb9", "name": "Prepare scheduled send", "type": "n8n-nodes-base.code", "position": [ 1072, 816 ], "parameters": { "jsCode": "return $input.all();\n" }, "typeVersion": 2 }, { "id": "56eb9b23-db15-4f41-9df5-90df54e778ff", "name": "Download resume for scheduled send", "type": "n8n-nodes-base.googleDrive", "position": [ 1520, 816 ], "parameters": { "fileId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_DRIVE_FILE_ID", "cachedResultUrl": "YOUR_RESUME_URL", "cachedResultName": "Your_Resume.pdf" }, "options": { "fileName": "Your_Resume.pdf", "binaryPropertyName": "Resume" }, "operation": "download" }, "typeVersion": 3 }, { "id": "51ccaa4d-c3dc-4cff-b8df-68ff9d2a7214", "name": "Update Telegram status", "type": "n8n-nodes-base.telegram", "position": [ 1296, 624 ], "parameters": { "text": "=\u2728 *Your Email is scheduled to send in 10s...* \u2728\n\n\ud83d\udcbc *Offer:* {{ $('Parse draft data').item.json.offer }}\n\n\ud83d\udce7 *Recruiter:* {{ $('Parse draft data').item.json.recruiter }}", "chatId": "={{ $('Telegram Trigger').item.json.callback_query.message.chat.id }}", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "typeVersion": 1.2 }, { "id": "6c21800e-3510-43e0-9d2d-48767fb61426", "name": "Notify scheduled send complete", "type": "n8n-nodes-base.telegram", "position": [ 1968, 816 ], "parameters": { "text": "=\u2705 Congratulations, your Email to {{ $('Download resume for scheduled send').item.json.recruiter }} was sent. Good luck!", "chatId": "={{ $('Telegram Trigger').item.json.callback_query.message.chat.id }}", "additionalFields": {} }, "typeVersion": 1.2 }, { "id": "e4a80d39-4ec0-4230-9423-4fc5dc965e09", "name": "Route by message type", "type": "n8n-nodes-base.switch", "position": [ 176, 624 ], "parameters": { "rules": { "values": [ { "outputKey": "Job_Post_Image", "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "fb5bee34-5f87-4e47-8e0d-59b2e5d35c2d", "operator": { "type": "array", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $json.message?.photo }}", "rightValue": "" } ] }, "renameOutput": true }, { "outputKey": "Sending", "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "b65f2e38-c7a3-4e05-ad2c-da10ed0d6a0a", "operator": { "type": "object", "operation": "notEmpty", "singleValue": true }, "leftValue": "={{ $json.callback_query?.message }}", "rightValue": "" } ] }, "renameOutput": true } ] }, "options": {} }, "typeVersion": 3.2 }, { "id": "4ba5aaeb-8dc2-4ad4-b3ce-808faa8e16ce", "name": "Show typing indicator", "type": "n8n-nodes-base.telegram", "position": [ 400, 432 ], "parameters": { "chatId": "={{ $json.message.chat.id }}", "operation": "sendChatAction" }, "typeVersion": 1.2 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "138a7d1b-3417-4739-a4fb-f7dede102804", "connections": { "Call OpenAI API": { "main": [ [ { "node": "Parse AI response", "type": "main", "index": 0 } ] ] }, "Parse draft data": { "main": [ [ { "node": "Download resume from Drive", "type": "main", "index": 0 } ] ] }, "Telegram Trigger": { "main": [ [ { "node": "Route by message type", "type": "main", "index": 0 } ] ] }, "Parse AI response": { "main": [ [ { "node": "Store draft in Redis", "type": "main", "index": 0 } ] ] }, "Send email via Gmail": { "main": [ [ { "node": "Notify scheduled send complete", "type": "main", "index": 0 } ] ] }, "Store draft in Redis": { "main": [ [ { "node": "Send preview to Telegram", "type": "main", "index": 0 } ] ] }, "Notify immediate send": { "main": [ [ { "node": "Update Telegram status", "type": "main", "index": 0 } ] ] }, "Route by message type": { "main": [ [ { "node": "Show typing indicator", "type": "main", "index": 0 } ], [ { "node": "Retrieve draft from Redis", "type": "main", "index": 0 } ] ] }, "Show typing indicator": { "main": [ [ { "node": "Build AI request payload", "type": "main", "index": 0 } ] ] }, "Prepare scheduled send": { "main": [ [ { "node": "Wait before scheduled send", "type": "main", "index": 0 } ] ] }, "Build AI request payload": { "main": [ [ { "node": "Call OpenAI API", "type": "main", "index": 0 } ] ] }, "Retrieve draft from Redis": { "main": [ [ { "node": "Parse draft data", "type": "main", "index": 0 } ] ] }, "Download resume from Drive": { "main": [ [ { "node": "Notify immediate send", "type": "main", "index": 0 }, { "node": "Prepare scheduled send", "type": "main", "index": 0 } ] ] }, "Wait before scheduled send": { "main": [ [ { "node": "Download resume for scheduled send", "type": "main", "index": 0 } ] ] }, "Download resume for scheduled send": { "main": [ [ { "node": "Send email via Gmail", "type": "main", "index": 0 } ] ] } } }