Job Offer Letter - ${candidateData.candidateName}

{ "edges": [ { "to": "604933ae-1dc3-4a93-967d-9a40a9f70f3d", "from": "e7eb164d-4c92-462f-b6c9-b0c44714b28b", "toPort": "0", "fromPort": "0" }, { "to": "2cfb1776-1894-404f-955f-55ee96e08981", "from": "12edf1fd-d395-4832-ab9b-ad0a44538a63", "toPort": "0", "fromPort": "0" }, { "to": "1f9b6dba-adc5-4083-9755-fa9f5e0ffa04", "from": "604933ae-1dc3-4a93-967d-9a40a9f70f3d", "toPort": "0", "fromPort": "0" }, { "to": "d155cee6-88f1-4f73-b762-369e54d526e9", "from": "c563d924-0bc6-4c7e-a965-546bad259166", "toPort": "0", "fromPort": "0" }, { "to": "c563d924-0bc6-4c7e-a965-546bad259166", "from": "1f9b6dba-adc5-4083-9755-fa9f5e0ffa04", "toPort": "0", "fromPort": "0" }, { "to": "c0e34615-ec62-4d07-b5ff-0c3c165d5b84", "from": "2cfb1776-1894-404f-955f-55ee96e08981", "toPort": "0", "fromPort": "0" }, { "to": "12edf1fd-d395-4832-ab9b-ad0a44538a63", "from": "f01fb109-33ee-497a-b8c1-93ca4b8e4aa0", "toPort": "0", "fromPort": "0" }, { "to": "f01fb109-33ee-497a-b8c1-93ca4b8e4aa0", "from": "d155cee6-88f1-4f73-b762-369e54d526e9", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "e7eb164d-4c92-462f-b6c9-b0c44714b28b", "name": "Webhook", "type": "trigger", "params": { "kind": "n8n-nodes-base.webhook", "path": "job-offer-generator", "options": {}, "httpMethod": "POST" }, "position": [ -1616, 416 ] }, { "id": "604933ae-1dc3-4a93-967d-9a40a9f70f3d", "name": "Email Verification", "type": "integration", "params": { "email": "={{ $json.body.candidateEmail }}", "service": "verifiemail", "operation": "run", "__originalType": "n8n-nodes-verifiemail.verifiEmail" }, "position": [ -1424, 416 ] }, { "id": "1f9b6dba-adc5-4083-9755-fa9f5e0ffa04", "name": "Check Email Validity", "type": "if", "params": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "89a382e8-9773-44d0-adae-4b59fcbb56fb", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ $json.valid }}", "rightValue": false } ] } }, "position": [ -1216, 416 ] }, { "id": "c563d924-0bc6-4c7e-a965-546bad259166", "name": "Prepare Offer Data", "type": "set", "params": { "options": {}, "assignments": { "assignments": [ { "id": "7e233b03-e825-4715-afd7-6adae8603a35", "name": "candidateName", "type": "string", "value": "={{ $('Webhook').item.json.body.candidateName }}" }, { "id": "03175440-80b9-47dd-b3ee-9100082afa81", "name": "candidateEmail", "type": "string", "value": "={{ $('Webhook').item.json.body.candidateEmail }}" }, { "id": "f09ed0c5-387b-4fc8-ab43-0acbaabeb776", "name": "position", "type": "string", "value": "={{ $('Webhook').item.json.body.position }}" }, { "id": "445fe494-6543-4991-818d-b93d944e6581", "name": "department", "type": "string", "value": "={{ $('Webhook').item.json.body.department }}" }, { "id": "5e261953-ae62-4545-a105-a7905c33de1d", "name": "salary", "type": "number", "value": "={{ $('Webhook').item.json.body.salary }}" }, { "id": "42d749e9-293d-48c8-b783-04b09943df28", "name": "formattedSalary", "type": "string", "value": "={{ \"$\" + Number($('Webhook').item.json.body.salary).toLocaleString() }}" }, { "id": "1d487f83-835b-408a-8a6c-1ee751a15f6b", "name": "joiningDate", "type": "string", "value": "={{ $('Webhook').item.json.body.joiningDate }}" }, { "id": "0b0f45ae-ef01-48a1-a990-958409e37be5", "name": "reportingTo", "type": "string", "value": "={{ $('Webhook').item.json.body.reportingTo }}" }, { "id": "d6076d86-2589-4294-8826-21d2d47fdd95", "name": "workLocation", "type": "string", "value": "={{ $('Webhook').item.json.body.workLocation }}" }, { "id": "83a6ed3d-8a57-475d-b142-7530a21a228b", "name": "offerDate", "type": "string", "value": "={{ $now.format('MMMM DD, YYYY') }}" }, { "id": "b93bba53-26d5-40b4-9fa2-47885c540b3f", "name": "companyName", "type": "string", "value": "TechCorp Inc. " }, { "id": "95df2235-353e-4793-8c2e-b118573ebd6d", "name": "hrName", "type": "string", "value": "Sarah Johnson" }, { "id": "7b056659-365c-47ca-9ab3-ffffea0d2a85", "name": "hrTitle", "type": "string", "value": "VP of Human Resources" } ] } }, "position": [ -944, 352 ] }, { "id": "d155cee6-88f1-4f73-b762-369e54d526e9", "name": "Generate Offer Letter Content", "type": "llm", "params": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4", "cachedResultName": "GPT-4" }, "options": { "temperature": 0.7 }, "provider": "openai", "responses": { "values": [ { "role": "system", "content": "=You are a professional HR communications specialist with 15+ years of experience writing job offer letters for Fortune 500 companies. Your expertise includes:\n\n- Crafting warm, professional, and legally compliant offer letters\n- Balancing enthusiasm with formality\n- Highlighting company culture and values\n- Using clear, unambiguous language for employment terms\n- Creating welcoming tones that excite candidates about joining\n\nGuidelines for your responses:\n1. Write in a professional business letter format (body text only, no letterhead)\n2. Use clear paragraphs with proper spacing\n3. Start with congratulations and enthusiasm\n4. Be specific about role expectations without overwhelming detail\n5. Mention benefits and company culture naturally\n6. End with clear next steps for acceptance\n7. Maintain a tone that is: professional yet warm, formal yet personable\n8. Avoid legal jargon unless absolutely necessary\n9. Do NOT include addresses, dates, or signature blocks (these will be added separately)\n10. Keep the letter between 400-600 words\n\nRemember: This letter represents the candidate's first official communication as a potential employee. Make it memorable and positive while remaining professional." }, { "content": "=Please write a professional job offer letter body with the following details:\n\nCANDIDATE INFORMATION:\n- Full Name: {{ $json.candidateName }}\n- Email: {{ $json.candidateEmail }}\n\nPOSITION DETAILS:\n- Job Title: {{ $json.position }}\n- Department: {{ $json.department }}\n- Reports To: {{ $json.reportingTo }}\n- Work Location: {{ $json.workLocation }}\n- Start Date: {{ $json.joiningDate }}\n\nCOMPENSATION:\n- Annual Base Salary: {{ $json.formattedSalary }}\n\nLETTER REQUIREMENTS:\n1. Opening paragraph: Congratulate the candidate warmly and express genuine excitement\n2. Second paragraph: Brief overview of the role and its importance to the company\n3. Third paragraph: Highlight 2-3 key responsibilities or opportunities in this position\n4. Fourth paragraph: Mention the compensation, benefits package overview, and work arrangements\n5. Fifth paragraph: Express confidence in their abilities and cultural fit\n6. Closing paragraph: Clear next steps - review letter, sign acceptance, and contact information for questions\n\nTONE: Professional, welcoming, and enthusiastic. Make {{ $json.candidateName }} feel valued and excited to join.\n\nOUTPUT FORMAT: Return only the letter body text with proper paragraph breaks. Do not include date, address blocks, or signature lines." } ] }, "temperature": 0.7, "builtInTools": {} }, "position": [ -736, 352 ] }, { "id": "c0e34615-ec62-4d07-b5ff-0c3c165d5b84", "name": "Notify HR Team", "type": "integration", "params": { "text": "=✅ *Job Offer Sent Successfully*\n\n👤 *Candidate:* {{ $('Prepare Offer Data').item.json.candidateName }}\n📧 *Email:* {{ $('Prepare Offer Data').item.json.candidateEmail }}\n💼 *Position:* {{ $('Prepare Offer Data').item.json.position }}\n💰 *Salary:* {{ $('Prepare Offer Data').item.json.formattedSalary }}\n📅 *Start Date:* {{ $('Prepare Offer Data').item.json.joiningDate }}\n🆔 *Document ID:* {{ $('Build HTML with SVG Signature').item.json.documentId }}\n\n📎 Offer letter PDF sent via email.", "select": "channel", "service": "slack", "channelId": { "__rl": true, "mode": "list", "value": "YOUR_SLACK_CHANNEL_ID", "cachedResultName": "YOUR_CHANNEL_NAME" }, "operation": "read", "otherOptions": {} }, "position": [ 272, 352 ] }, { "id": "2cfb1776-1894-404f-955f-55ee96e08981", "name": "Deliver Offer Letter", "type": "integration", "params": { "sendTo": "={{ $('Prepare Offer Data').item.json.candidateEmail }}", "message": "=\n\n\n \n\n\n \n \n

Dear {{ $('Prepare Offer Data').item.json.candidateName }},

\n \n

\n We are delighted to extend an offer for the position of \n {{ $('Prepare Offer Data').item.json.position }} \n at {{ $('Prepare Offer Data').item.json.companyName }}!\n

\n \n

After careful consideration of your qualifications and our conversations during the interview process, we believe you will be an excellent addition to our {{ $('Prepare Offer Data').item.json.department }} team.

\n \n

📎 Please find your official offer letter attached to this email. The letter contains detailed information about your position, compensation, and benefits.

\n \n

📋 Next Steps

Review the attached offer letter carefully
Sign and return the acceptance form within 7 business days
Contact us if you have any questions or need clarification
Prepare for your start date: {{ $('Prepare Offer Data').item.json.joiningDate }}

\n \n

To accept this offer, please:

Download and review the attached PDF
Sign the offer letter
Reply to this email with the signed copy

\n \n

If you have any questions about the offer, your role, or anything else, please don't hesitate to reach out to us at hr@techcorp.com or call us at (555) 123-4567.

\n \n

We're incredibly excited about the possibility of you joining our team and contributing to our mission!

\n \n

Warm regards,
\n {{ $('Prepare Offer Data').item.json.hrName }}
\n {{ $('Prepare Offer Data').item.json.hrTitle }}
\n {{ $('Prepare Offer Data').item.json.companyName }}

\n \n \n\n", "options": { "attachmentsUi": { "attachmentsBinary": [ {} ] } }, "service": "gmail", "subject": "=Job Offer - {{ $('Prepare Offer Data').item.json.position }} at {{ $('Prepare Offer Data').item.json.companyName }}", "operation": "read" }, "position": [ 112, 352 ] }, { "id": "12edf1fd-d395-4832-ab9b-ad0a44538a63", "name": "Convert to PDF", "type": "integration", "params": { "service": "htmlcsstopdf", "operation": "run", "html_content": "={{ $json.html }}", "output_format": "file", "__originalType": "n8n-nodes-htmlcsstopdf.htmlcsstopdf", "output_filename": "data" }, "position": [ -160, 352 ] }, { "id": "f01fb109-33ee-497a-b8c1-93ca4b8e4aa0", "name": "Build HTML with SVG Signature", "type": "code", "params": { "jsCode": "// Get data from previous nodes\nconst candidateData = $('Prepare Offer Data').item.json;\n\n// Get OpenAI output\nconst openAiData = $input.item.json;\n\n// Extract text from OpenAI\nlet offerLetterText = '';\ntry {\n if (openAiData.output && openAiData.output[0] && openAiData.output[0].content) {\n offerLetterText = openAiData.output[0].content[0].text;\n }\n} catch (error) {\n offerLetterText = 'Error extracting text: ' + error.message;\n}\n\n// Generate unique document ID\nfunction generateDocumentId() {\n const timestamp = Date.now();\n const random = Math.random().toString(36).substring(2, 9).toUpperCase();\n return `OFFER-${timestamp}-${random}`;\n}\n\nconst documentId = generateDocumentId();\n\n// Generate SVG signature\nfunction generateSignatureSVG(name) {\n return `\n \n `;\n}\n\nconst signatureSVG = generateSignatureSVG(candidateData.hrName);\n\n// Build the complete HTML\nconst html = `\n\n\n \n \n Job Offer Letter - ${candidateData.candidateName}\n \n\n\n

\n \n

${candidateData.companyName}

Building Tomorrow's Technology Today

\n\n \n

\n \n

${candidateData.offerDate}

\n\n \n

\n ${candidateData.candidateName}\n ${candidateData.candidateEmail}\n

\n\n \n

\n Subject: Job Offer - ${candidateData.position}\n

\n\n \n

\n ${offerLetterText}\n

\n\n \n

Position Details

\n Position\n ${candidateData.position}\n

\n Department\n ${candidateData.department}\n

\n Annual Salary\n ${candidateData.formattedSalary}\n

\n Start Date\n ${candidateData.joiningDate}\n

\n Reports To\n ${candidateData.reportingTo}\n

\n Work Location\n ${candidateData.workLocation}\n

\n\n \n

Sincerely,

\n \n

\n ${signatureSVG}\n

\n \n

\n ${candidateData.hrName}
\n ${candidateData.hrTitle}
\n ${candidateData.companyName}\n

\n\n \n

\n ✓\n Digitally Signed & Verified Document\n

\n Signed by: ${candidateData.hrName}
\n Title: ${candidateData.hrTitle}
\n Organization: ${candidateData.companyName}
\n Date & Time: ${candidateData.offerDate}
\n Document ID: ${documentId}
\n Status: This document has been electronically signed and is legally binding.
\n Verification: To verify authenticity, contact user@example.com with Document ID.\n

\n\n \n \n

\n\n`;\n\n// Return the HTML with all metadata\nreturn [{ \n json: { \n html: html,\n documentId: documentId,\n candidateName: candidateData.candidateName,\n candidateEmail: candidateData.candidateEmail,\n position: candidateData.position,\n formattedSalary: candidateData.formattedSalary\n } \n}];" }, "position": [ -352, 352 ] } ] }

🎉 Congratulations!

📋 Next Steps

Position Details

Generate verified job offer letters with OpenAI, Gmail and Slack