This workflow follows the Chainllm → Form Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Resume/Cover letter Builder",
"nodes": [
{
"parameters": {
"formTitle": "Personal Resume and Cover letter generator",
"formFields": {
"values": [
{
"fieldLabel": "Job Title"
},
{
"fieldLabel": "Company Name"
},
{
"fieldLabel": "Language",
"fieldType": "dropdown",
"fieldOptions": {
"values": [
{
"option": "English Only"
},
{
"option": "German Only"
}
]
}
},
{
"fieldLabel": "Job Description"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.5,
"position": [
0,
-64
],
"id": "4a376729-054c-42df-b96d-c2cf207c3857",
"name": "On form submission"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "e12aa7d7-8d14-426c-91a7-7dec75fe555d",
"name": "slug",
"value": "={{ $json['Company Name'].toLowerCase().replace(/[^a-z0-9]+/g, '-')}}",
"type": "string"
},
{
"id": "8c678ec7-06e4-44ef-b78e-3d78c2be548f",
"name": "utmCoverLetterEN",
"value": "={{ 'https://YOUR_PORTFOLIO_DOMAIN/?utm_source=cover-letter-english&utm_medium=pdf&utm_term=' + $json['Company Name'].toLowerCase().replace(/[^a-z0-9]+/g, '-') }}",
"type": "string"
},
{
"id": "02111542-3e09-457a-becb-658385130272",
"name": "utmCoverLetterDE",
"value": "={{ 'https://YOUR_PORTFOLIO_DOMAIN/?utm_source=anschreiben-deutsch&utm_medium=pdf&utm_term=' + $json['Company Name'].toLowerCase().replace(/[^a-z0-9]+/g, '-') }}",
"type": "string"
},
{
"id": "c7324ec3-aaa2-424a-8781-3ea474991b51",
"name": "fileBase",
"value": "={{ 'Your_Name' + $json['Company Name'].replace(/[^a-zA-Z0-9]/g, '_') + '_' + $json['Job Title'].replace(/[^a-zA-Z0-9]/g, '_') }}",
"type": "string"
}
]
},
"includeOtherFields": true,
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
224,
-64
],
"id": "344ab3af-266d-4b1f-bd01-c5f0ab4b96d5",
"name": "Edit Fields"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "claude-sonnet-4-6",
"mode": "list",
"cachedResultName": "Claude Sonnet 4.6"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
1200,
-144
],
"id": "739f18c0-2819-4a4d-bd13-2c443ba7d85f",
"name": "Anthropic Chat Model",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"leftValue": "={{ $('On form submission').item.json.Language }}",
"rightValue": "English Only",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "8f134b19-6c62-452a-a1b2-8fe1c4d515a5"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "b72e8b89-7e70-4378-8485-ec1a9dc004b7",
"leftValue": "={{ $('On form submission').item.json.Language }}",
"rightValue": "German Only",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.4,
"position": [
896,
-64
],
"id": "3cbd0fe4-80e7-45f8-87ff-755fc31fb53c",
"name": "Switch"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-5-20250929",
"cachedResultName": "Claude Sonnet 4.5"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
2128,
-144
],
"id": "369e73b8-da93-4cb1-b13f-3a2973b679ff",
"name": "Anthropic Chat Model3",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"fileSelector": "={{ $json['Language'] === 'English Only' ? '/home/node/.n8n-files/Your_Name-EN.docx' : '/home/node/.n8n-files/Your_Name-DE.docx' }}",
"options": {}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1.1,
"position": [
448,
-64
],
"id": "172488b0-370b-44c3-85a3-dd3af11411f6",
"name": "Read/Write Files from Disk"
},
{
"parameters": {
"jsCode": "const mammoth = require('mammoth');\n\nconst language = $('Edit Fields').first().json['Language'];\nconst filePath = language === 'English Only' \n ? '/home/node/.n8n-files/Your_Name-EN.docx'\n : '/home/node/.n8n-files/Your_Name-DE.docx';\n\nconst result = await mammoth.extractRawText({ path: filePath });\n\nreturn [{\n json: {\n ...$('Edit Fields').first().json,\n resumeText: result.value,\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
672,
-64
],
"id": "297322d6-bc71-4d46-a13f-74422df2963e",
"name": "Extract Text From Resume"
},
{
"parameters": {
"promptType": "define",
"text": "=You are a resume tailoring assistant for YOUR_NAME, a YOUR_ROLE specialist.\n\nAnalyze their ACTUAL resume against the job description and suggest specific changes to maximize ATS keyword match.\n\nCANDIDATE'S ACTUAL RESUME:\n{{ $json.resumeText }}\n\nJOB TITLE: {{ $json['Job Title'] }}\nCOMPANY: {{ $json['Company Name'] }}\n\nJOB DESCRIPTION:\n{{ $json['Job Description'] }}\n\nIMPORTANT RULES:\n- Only suggest changes using skills and experience already in the resume\n- Never invent tools or experience the candidate does not have\n- Show the EXACT original bullet text and the EXACT replacement text so it can be auto-applied\n- Mirror the EXACT phrases from the JD \u2014 not synonyms. If JD says \"demand generation\" use \"demand generation\" not \"lead generation\". If JD says \"GTM motion\" use \"GTM motion\" not \"go-to-market strategy\"\n- Prioritise inserting missing JD keywords naturally into existing bullets\n- Change 4 MUST come from the INKITIN PTY LTD section of the resume\n\nReturn ONLY plain text with this structure:\n1. ATS score before (%)\n2. ATS score after (%)\n3. Top 5 missing keywords from JD\n4. Top 5 resume changes:\n\n CHANGE 1 \u2014 About Me:\n ORIGINAL: [exact current About Me paragraph]\n REPLACE WITH: [rewritten version front-loading JD keywords]\n REASON: [one sentence]\n\n CHANGE 2 \u2014 Ingestro bullet:\n ORIGINAL: [exact bullet text from Ingestro]\n REPLACE WITH: [new bullet mirroring exact JD language]\n REASON: [one sentence]\n\n CHANGE 3 \u2014 Ingestro bullet:\n ORIGINAL: [exact bullet text from Ingestro]\n REPLACE WITH: [new bullet mirroring exact JD language]\n REASON: [one sentence]\n\n CHANGE 4 \u2014 INKITIN bullet:\n ORIGINAL: [exact bullet text from INKITIN PTY LTD section only]\n REPLACE WITH: [new bullet mirroring exact JD language]\n REASON: [one sentence]\n\n CHANGE 5 \u2014 Core Skills section update:\nORIGINAL: [exact current Core Skills line that needs updating \u2014 pick the most relevant category]\nREPLACE WITH: [same category but reordered/updated to front-load JD-relevant tools the candidate actually has]\nREASON: [one sentence]\n\nIMPORTANT for Change 5:\n- Only use tools the candidate actually has in their resume\n- Never add tools they haven't used\n- If there is no mention of the tool in Core Skills, find the alternative or most identical tool that the candidate uses\n- If JD mentions Dripify \u2192 use PhantomBuster (same category)\n- If JD mentions Luma \u2192 use Lemlist or Apollo (same function)\n- Just reorder existing tools to put most JD-relevant ones first",
"messages": {
"messageValues": []
},
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1120,
-368
],
"id": "bdb59a9c-88aa-40ec-a6f6-cbc411736d3a",
"name": "Analyse Resume EN"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "claude-sonnet-4-6",
"mode": "list",
"cachedResultName": "Claude Sonnet 4.6"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
1200,
368
],
"id": "f5aa47a7-f7b7-4fd7-ad3b-f7af7ea66ee1",
"name": "Anthropic Chat Model1",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=Du bist ein Lebenslauf-Optimierungsassistent f\u00fcr YOUR_NAME.\n\nAnalysiere den ECHTEN Lebenslauf gegen die Stellenausschreibung und schlage spezifische \u00c4nderungen vor, um den ATS-Keyword-Match zu maximieren.\n\nLEBENSLAUF:\n{{ $json.resumeText }}\n\nJOBTITEL: {{ $json['Job Title'] }}\nFIRMA: {{ $json['Company Name'] }}\n\nSTELLENAUSSCHREIBUNG:\n{{ $json['Job Description'] }}\n\nWICHTIGE REGELN:\n- Nur \u00c4nderungen basierend auf bereits vorhandenen F\u00e4higkeiten im Lebenslauf\n- Niemals Erfahrungen erfinden oder halluzinieren\n- EXAKTEN Originaltext und EXAKTEN Ersatztext angeben f\u00fcr automatische Anwendung\n- EXAKTE Phrasen aus der Stellenausschreibung spiegeln \u2014 keine Synonyme\n- \u00c4nderung 4 MUSS aus dem INKITIN PTY LTD Abschnitt kommen\n- \u00c4NDERUNG 2 und \u00c4NDERUNG 3 m\u00fcssen VERSCHIEDENE Bullets sein \u2014 niemals denselben Bullet zweimal \u00e4ndern\n- \u00c4NDERUNG 2 soll sich auf Metriken/Analyse-Bullets konzentrieren\n- \u00c4NDERUNG 3 soll sich auf Automatisierung/Pipeline-Bullets konzentrieren\n- F\u00fcr \u00c4NDERUNG 5: Nur Tools verwenden die der Kandidat wirklich hat \u2014 keine Tools erfinden. Wenn die Stelle z.B. Dripify erw\u00e4hnt, stattdessen PhantomBuster verwenden (gleiche Kategorie)\n- \u00c4NDERUNG 5 ist eine AKTUALISIERUNG der bestehenden Core Skills Zeile \u2014 nicht eine neue Zeile einf\u00fcgen\n\nAntworte NUR mit diesem Format:\n1. ATS-Score vorher (%)\n2. ATS-Score nachher (%)\n3. Top 5 fehlende Keywords aus der Stellenausschreibung\n4. Top 5 Lebenslauf-\u00c4nderungen:\n\n \u00c4NDERUNG 1 \u2014 \u00dcber mich:\n ORIGINAL: [exakter aktueller \u00dcber-mich-Text]\n ERSETZEN DURCH: [neu geschriebene Version mit JD-Keywords]\n GRUND: [ein Satz]\n\n \u00c4NDERUNG 2 \u2014 Ingestro Bullet (Metriken/Analyse):\n ORIGINAL: [exakter Bullet-Text von Ingestro \u2014 Metriken oder Analyse-fokussiert]\n ERSETZEN DURCH: [neuer Bullet mit exakter JD-Sprache]\n GRUND: [ein Satz]\n\n \u00c4NDERUNG 3 \u2014 Ingestro Bullet (Automatisierung/Pipeline):\n ORIGINAL: [anderer Bullet-Text von Ingestro \u2014 Automatisierung oder Pipeline-fokussiert]\n ERSETZEN DURCH: [neuer Bullet mit exakter JD-Sprache]\n GRUND: [ein Satz]\n\n \u00c4NDERUNG 4 \u2014 INKITIN Bullet:\n ORIGINAL: [exakter Bullet-Text NUR aus INKITIN PTY LTD Abschnitt]\n ERSETZEN DURCH: [neuer Bullet mit exakter JD-Sprache]\n GRUND: [ein Satz]\n\n \u00c4NDERUNG 5 \u2014 Core Skills Aktualisierung:\n ORIGINAL: [exakte Core Skills Zeile aus dem Lebenslauf die am relevantesten ist]\n ERSETZEN DURCH: [gleiche Kategorie aber mit JD-relevanten Tools vorne \u2014 nur Tools die der Kandidat wirklich hat]\n GRUND: [ein Satz]\n\n- F\u00fcr \u00c4NDERUNG 5: Nur Tools verwenden die im Lebenslauf vorhanden sind\n- Niemals Tools hinzuf\u00fcgen die der Kandidat nicht verwendet\n- Falls ein Tool aus der Stelle nicht in den Core Skills vorkommt, das n\u00e4chst\u00e4hnliche Tool verwenden das der Kandidat hat\n- Wenn die Stelle Dripify erw\u00e4hnt \u2192 PhantomBuster verwenden (gleiche Kategorie)\n- Wenn die Stelle Luma erw\u00e4hnt \u2192 Lemlist oder Apollo verwenden (gleiche Funktion)\n- Nur bestehende Tools umordnen um JD-relevante Tools nach vorne zu stellen",
"messages": {
"messageValues": []
},
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1120,
144
],
"id": "e581e953-3591-41cc-bcce-c3cac3a31cc7",
"name": "Analyse Resume DE"
},
{
"parameters": {
"promptType": "define",
"text": "=You are writing a cover letter in English for Your_Name.\n\nSTRUCTURE (follow exactly):\n- Paragraph 1: 2-3 sentences connecting the role to Your_Name's focus. Never start with \"I am excited to apply\".\n- Bullet list: 4-5 achievements with real metrics using **bold** e.g. **ROAS 36x+**, **400% traffic increase**, **30% CTR increase**, **80% manual effort reduction**, **40% lead quality improvement**\n- Paragraph 2: 2-3 sentences connecting specifically to the company mission\n- - Closing line: one sentence of enthusiasm. Then on a new line write exactly: View my portfolio: YOUR_PORTFOLIO_DOMAIN\n- Sign off: \"Kind regards,\" then blank line then \"Your_Name\"\n- STRICT: 250-280 words MAX. One A4 page only.\n\nHEADER (include exactly as written):\nYour_Name | N\u00fcrnberg, Germany\nYour_Namea@gmail.com | YOUR_NUMBER\nlinkedin.com/in/Your_Name\nDate: {{ $now.toFormat('dd.MM.yyyy') }}\n\nSubject: Application for {{ $('On form submission').item.json['Job Title'] }} \u2013 {{ $('On form submission').item.json['Company Name'] }}\n\nDear {{ $('On form submission').item.json['Company Name'] }} Team,\n\nCONTEXT FOR WRITING:\nJOB TITLE: {{ $('On form submission').item.json['Job Title'] }}\nCOMPANY: {{ $('On form submission').item.json['Company Name'] }}\nTAILORED RESUME BULLETS (use these as the basis for the cover letter achievements):\n{{ $('Analyse Resume EN').first().json.text }}\n\nJOB DESCRIPTION:\n{{ $('On form submission').item.json['Job Description'] }}\n\nWrite the full cover letter now. Return only the cover letter text, nothing else.",
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
2048,
-368
],
"id": "0842b272-67f8-4f19-b5c0-9c95c97eb03b",
"name": "Cover letter EN"
},
{
"parameters": {
"promptType": "define",
"text": "=You are converting a resume analysis into a JSON object for automated find-and-replace in a DOCX file.\n\nRESUME ANALYSIS:\n{{ $json.text }}\n\nIMPORTANT: For Change 5 (Core Skills), output exactly:\n{\"find\": null, \"replace\": \"Core Skills: [tools list]\"}\n\nExtract the changes and return ONLY a valid JSON object in exactly this format, nothing else, no markdown, no explanation:\n{\n \"changes\": [\n {\n \"find\": \"exact original text copied from ORIGINAL field above\",\n \"replace\": \"exact replacement text copied from REPLACE WITH field above\"\n },\n {\n \"find\": \"exact original text\",\n \"replace\": \"exact replacement text\"\n },\n {\n \"find\": \"exact original text\",\n \"replace\": \"exact replacement text\"\n }\n ]\n}",
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1472,
-368
],
"id": "021a3c1d-4126-48d7-a01f-d4fe10d580f7",
"name": "Basic LLM Chain"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-5-20250929",
"cachedResultName": "Claude Sonnet 4.5"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
1552,
-144
],
"id": "1f0b75f9-f762-40a0-952e-9133b6e14ecf",
"name": "Anthropic Chat Model4",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=You are converting a resume analysis into a JSON object for automated find-and-replace in a DOCX file.\n\nRESUME ANALYSIS:\n{{ $json.text }}\n\nIMPORTANT: For Change 5 (Core Skills), output exactly:\n{\"find\": null, \"replace\": \"Core Skills: [tools list]\"}\n\nExtract the changes and return ONLY a valid JSON object in exactly this format, nothing else, no markdown, no explanation:\n{\n \"changes\": [\n {\n \"find\": \"exact original text copied from ORIGINAL field above\",\n \"replace\": \"exact replacement text copied from REPLACE WITH field above\"\n },\n {\n \"find\": \"exact original text\",\n \"replace\": \"exact replacement text\"\n },\n {\n \"find\": \"exact original text\",\n \"replace\": \"exact replacement text\"\n }\n ]\n}",
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1472,
144
],
"id": "d0610153-e40f-4068-ab25-9524ee7b994e",
"name": "Basic LLM Chain1"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "claude-sonnet-4-6",
"mode": "list",
"cachedResultName": "Claude Sonnet 4.6"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
1552,
368
],
"id": "80868405-40e3-436f-915a-95a2a31fcbd8",
"name": "Anthropic Chat Model5",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const raw = $input.first().json.text;\n\n// Strip markdown code blocks\nconst clean = raw\n .replace(/^```json\\n?/, '')\n .replace(/\\n?```$/, '')\n .trim();\n\nconst parsed = JSON.parse(clean);\n\nreturn [{\n json: {\n ...$('Extract Text From Resume').first().json,\n resumeChanges: parsed.changes,\n resumeChangesJSON: JSON.stringify(parsed.changes),\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1824,
-272
],
"id": "f5a01c17-3614-492e-95a5-d50307ea45fb",
"name": "Code in JavaScript"
},
{
"parameters": {
"jsCode": "const raw = $input.first().json.text;\n\n// Strip markdown code blocks\nconst clean = raw\n .replace(/^```json\\n?/, '')\n .replace(/\\n?```$/, '')\n .trim();\n\nconst parsed = JSON.parse(clean);\n\nreturn [{\n json: {\n ...$('Extract Text From Resume').first().json,\n resumeChanges: parsed.changes,\n resumeChangesJSON: JSON.stringify(parsed.changes),\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1824,
144
],
"id": "4d371ab0-4c29-41f3-9ca9-33f8c48f6d24",
"name": "Code in JavaScript1"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "claude-sonnet-4-6",
"mode": "list",
"cachedResultName": "Claude Sonnet 4.6"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"typeVersion": 1.3,
"position": [
2128,
368
],
"id": "0ebf1445-c6b8-4c1c-91f7-aada84650db4",
"name": "Anthropic Chat Model6",
"credentials": {
"anthropicApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const language = $('Edit Fields').first().json['Language'];\nconst changes = $('Code in JavaScript').first().json.resumeChanges;\nconst coverText = $('Cover letter EN').first().json.text;\nconst fileBase = $('Edit Fields').first().json.fileBase;\nconst utmCoverEN = $('Edit Fields').first().json.utmCoverLetterEN;\n\nconst config = {\n language: language,\n changes: changes,\n coverText: coverText,\n fileBase: fileBase,\n outputDir: '/Users/Your_Name/Desktop/JobApplications/' + $('Edit Fields').first().json.fileBase,\n utmResume: utmCoverEN.replace('cover-letter-english', 'resume-english'),\n utmCover: utmCoverEN,\n};\n\nreturn [{ json: config }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2400,
-272
],
"id": "3d2a1d2e-c6a1-4f4c-a9dd-3da45d3c4cb4",
"name": "Write Config & Run Script EN"
},
{
"parameters": {
"method": "POST",
"url": "http://host.docker.internal:5001/run",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify($json) }}\n",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
2624,
-272
],
"id": "68163d68-9505-4750-8e19-4f18290a9f91",
"name": "Trigger Python Script EN"
},
{
"parameters": {
"promptType": "define",
"text": "=Du schreibst ein Anschreiben auf Deutsch f\u00fcr Your_Name.\n\nSTRUKTUR (exakt einhalten):\n- Absatz 1: 2-3 S\u00e4tze, erster Satz beginnt kleingeschrieben nach \"Liebes [Firma] Team,\"\n- Bullet-Liste: 4-5 konkrete Leistungen mit echten Metriken z.B. **ROAS 36x+**, **400% Traffic-Steigerung**, **30% CTR-Verbesserung**, **80% weniger manueller Aufwand**, **40% bessere Lead-Qualit\u00e4t**\n- Absatz 2: 2-3 S\u00e4tze zur Mission des Unternehmens \u2014 zeige echtes Verst\u00e4ndnis\n- Abschlusssatz: ein Satz Begeisterung, dann neue Zeile schreibe exakt: YOUR_PORTFOLIO_DOMAIN\n- Gru\u00dfformel: \"Viele Gr\u00fc\u00dfe,\" dann Leerzeile dann \"Your_Name\"\n- STRIKT: 280-300 W\u00f6rter MAX. Eine A4-Seite.\n\nKOPFZEILE (exakt so \u00fcbernehmen):\nYour_Name | N\u00fcrnberg, Deutschland\nYour_Namea@gmail.com | YOUR_Number \nlinkedin.com/in/Your_Name\nDatum: {{ $now.toFormat('dd.MM.yyyy') }}\n\nBetreff: Bewerbung als {{ $('On form submission').item.json['Job Title'] }} \u2013 {{ $('On form submission').item.json['Company Name'] }}\n\nLiebes {{ $('On form submission').item.json['Company Name'] }} Team,\n\nKONTEXT F\u00dcR DAS SCHREIBEN:\nJOBTITEL: {{ $('On form submission').item.json['Job Title'] }}\nFIRMA: {{ $('On form submission').item.json['Company Name'] }}\nANGEPASSTE LEBENSLAUF-BULLETS (nutze diese als Grundlage f\u00fcr das Anschreiben):\n{{ $('Analyse Resume DE').first().json.text }}\n\nSTELLENAUSSCHREIBUNG:\n{{ $('On form submission').item.json['Job Description'] }}\n\nSchreibe jetzt das vollst\u00e4ndige Anschreiben auf Deutsch. Gib nur den Anschreiben-Text zur\u00fcck, nichts anderes.",
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
2048,
144
],
"id": "d2224d62-d0a6-488a-ab5a-722d02c5d6ec",
"name": "Cover letter DE"
},
{
"parameters": {
"jsCode": "const language = $('Edit Fields').first().json['Language'];\nconst changes = $('Code in JavaScript1').first().json.resumeChanges;\nconst coverText = $('Cover letter DE').first().json.text;\nconst fileBase = $('Edit Fields').first().json.fileBase;\nconst utmCoverDE = $('Edit Fields').first().json.utmCoverLetterDE;\n\nconst config = {\n language: language,\n changes: changes,\n coverText: coverText,\n fileBase: fileBase,\n outputDir: '/Users/Your_Name/Desktop/JobApplications/' + $('Edit Fields').first().json.fileBase,\n utmResume: utmCoverDE.replace('anschreiben-deutsch', 'lebenslauf-deutsch'),\n utmCover: utmCoverDE,\n};\n\nreturn [{ json: config }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2400,
144
],
"id": "e393cd05-3ee2-4b6b-bcb9-2e6f9999d3a5",
"name": "Write Config & Run Script DE"
},
{
"parameters": {
"method": "POST",
"url": "http://host.docker.internal:5001/run",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify($json) }}\n",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
2624,
144
],
"id": "88dfde94-e5a9-4203-a830-eb9350c123a1",
"name": "Trigger Python Script DE"
},
{
"parameters": {
"jsCode": "const fs = require('fs');\n\nconst logPath = '/home/node/.n8n-files/applications_log.csv';\nconst date = new Date().toISOString().split('T')[0];\nconst company = $('Edit Fields').first().json['Company Name'];\nconst jobTitle = $('Edit Fields').first().json['Job Title'];\nconst language = $('Edit Fields').first().json['Language'];\n\nconst analysisText = $('Analyse Resume EN').first().json.text;\n\n// Match patterns like \"42%\" or \"42 %\" near \"before/after\"\nconst lines = analysisText.split('\\n');\nlet atsBefore = 'N/A';\nlet atsAfter = 'N/A';\n\nfor (const line of lines) {\n const num = line.match(/:\\s*(\\d+)\\s*%/);\n if (!num) continue;\n if (/before/i.test(line)) atsBefore = num[1];\n if (/after/i.test(line)) atsAfter = num[1];\n}\n\nconst row = `${date},\"${company}\",\"${jobTitle}\",\"${language}\",${atsBefore},${atsAfter}\\n`;\n\nif (!fs.existsSync(logPath)) {\n fs.writeFileSync(logPath, 'Date,Company,Job Title,Language,ATS Before,ATS After\\n');\n}\n\nfs.appendFileSync(logPath, row);\n\nreturn [{ json: { logged: true, row: row.trim() } }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2848,
-272
],
"id": "24e621bc-b579-4693-b6b6-aa048d5dad79",
"name": "Log Application EN"
},
{
"parameters": {
"jsCode": "const fs = require('fs');\n\nconst logPath = '/home/node/.n8n-files/applications_log.csv';\nconst date = new Date().toISOString().split('T')[0];\nconst company = $('Edit Fields').first().json['Company Name'];\nconst jobTitle = $('Edit Fields').first().json['Job Title'];\nconst language = $('Edit Fields').first().json['Language'];\n\nconst analysisText = $('Analyse Resume DE').first().json.text;\n\n// Match patterns like \"42%\" or \"42 %\" near \"before/after\"\nconst lines = analysisText.split('\\n');\nlet atsBefore = 'N/A';\nlet atsAfter = 'N/A';\n\nfor (const line of lines) {\n const num = line.match(/:\\s*(\\d+)\\s*%/);\n if (!num) continue;\n if (/before|vorher/i.test(line)) atsBefore = num[1];\n if (/after|nachher/i.test(line)) atsAfter = num[1];\n}\n\nconst row = `${date},\"${company}\",\"${jobTitle}\",\"${language}\",${atsBefore},${atsAfter}\\n`;\n\nif (!fs.existsSync(logPath)) {\n fs.writeFileSync(logPath, 'Date,Company,Job Title,Language,ATS Before,ATS After\\n');\n}\n\nfs.appendFileSync(logPath, row);\n\nreturn [{ json: { logged: true, row: row.trim() } }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2848,
144
],
"id": "fb2f2abf-4a85-43e8-a6b9-2e2eb1235790",
"name": "Log Application DE"
}
],
"connections": {
"On form submission": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Read/Write Files from Disk",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "Analyse Resume EN",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Analyse Resume EN",
"type": "main",
"index": 0
}
],
[
{
"node": "Analyse Resume DE",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model3": {
"ai_languageModel": [
[
{
"node": "Cover letter EN",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Read/Write Files from Disk": {
"main": [
[
{
"node": "Extract Text From Resume",
"type": "main",
"index": 0
}
]
]
},
"Extract Text From Resume": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Analyse Resume EN": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model1": {
"ai_languageModel": [
[
{
"node": "Analyse Resume DE",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Analyse Resume DE": {
"main": [
[
{
"node": "Basic LLM Chain1",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model4": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Anthropic Chat Model5": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "Cover letter EN",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain1": {
"main": [
[
{
"node": "Code in JavaScript1",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript1": {
"main": [
[
{
"node": "Cover letter DE",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model6": {
"ai_languageModel": [
[
{
"node": "Cover letter DE",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Cover letter EN": {
"main": [
[
{
"node": "Write Config & Run Script EN",
"type": "main",
"index": 0
}
]
]
},
"Write Config & Run Script EN": {
"main": [
[
{
"node": "Trigger Python Script EN",
"type": "main",
"index": 0
}
]
]
},
"Cover letter DE": {
"main": [
[
{
"node": "Write Config & Run Script DE",
"type": "main",
"index": 0
}
]
]
},
"Write Config & Run Script DE": {
"main": [
[
{
"node": "Trigger Python Script DE",
"type": "main",
"index": 0
}
]
]
},
"Trigger Python Script EN": {
"main": [
[
{
"node": "Log Application EN",
"type": "main",
"index": 0
}
]
]
},
"Trigger Python Script DE": {
"main": [
[
{
"node": "Log Application DE",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"versionId": "f1e8b680-8758-4def-9b79-602419ff0ce8",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "8QIF80XBwgze4sCi",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
anthropicApi
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About this workflow
Resume/Cover letter Builder. Uses formTrigger, lmChatAnthropic, readWriteFile, chainLlm. Event-driven trigger; 25 nodes.
Source: https://github.com/akshundogra/job-application-automation/blob/ac16e419c2af8d78f39dca2f1ecbc3645573bfc1/workflow.json — original creator credit. Request a take-down →
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