{ "name": "Email Organizer", "nodes": [ { "parameters": {}, "id": "e4d19d2b-5a89-42d6-b77d-a83eb60614a8", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 15936, -336 ] }, { "parameters": { "resource": "label" }, "id": "5b9b1676-cae7-49ea-84a5-61acad2d16fc", "name": "Get All Labels", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 16176, -336 ], "webhookId": "cc0599c5-bf45-44dd-8ed7-ed9f1c2078c3", "credentials": { "gmailOAuth2": { "id": "gO8EWg5jZuSVkFxz", "name": "Gmail account" } } }, { "parameters": { "jsCode": "const allItems = $input.all();\nconst userLabels = allItems.filter(i => i.json.type === 'user').map(i => ' [' + i.json.id + '] ' + i.json.name);\nconst sysLabels = allItems.filter(i => i.json.type === 'system').map(i => ' ' + i.json.name);\nconst lines = ['\\uD83D\\uDCCB *Gmail Label Audit*', '']\n .concat(['*User Labels (' + userLabels.length + '):*'])\n .concat(userLabels)\n .concat(['', '*System Labels (' + sysLabels.length + '):*'])\n .concat(sysLabels)\n .concat(['', '_Total: ' + allItems.length + ' labels_']);\nreturn { message: lines.join('\\n') };" }, "id": "b60070e2-771a-479e-9cf6-86d782223265", "name": "Format Label List", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 16400, -336 ] }, { "parameters": { "chatId": "-1003769081383", "text": "={{ $json.message }}", "additionalFields": {} }, "id": "cff2daf9-3419-4c43-ae1d-5b945ccb51a0", "name": "Send Label Audit", "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 16656, -336 ], "webhookId": "0f64b320-dabc-4b40-adad-842d8521bb9a", "credentials": { "telegramApi": { "id": "bnyBxist2KsEGbou", "name": "Gmail Organizer" } } }, { "parameters": { "rule": { "interval": [ { "field": "minutes", "minutesInterval": 15 } ] } }, "id": "65dc3e90-6714-4356-af7f-bf8a823cc1f5", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.1, "position": [ 15920, -128 ] }, { "parameters": { "resource": "label" }, "id": "7e9a23e0-03e0-42e3-9677-a3a42ea65c34", "name": "Get Gmail Labels", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 16160, -128 ], "webhookId": "2118cf8c-eb52-475c-b75d-4fc352646e7f", "credentials": { "gmailOAuth2": { "id": "gO8EWg5jZuSVkFxz", "name": "Gmail account" } } }, { "parameters": { "operation": "getAll", "limit": 10, "filters": { "q": "in:inbox has:nouserlabels" } }, "id": "b8f3f5f1-daf5-4803-b00f-695af18d24f5", "name": "Get Unlabeled Emails", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 16400, -128 ], "webhookId": "2ef87838-bd8a-44c7-988b-be809fb0d5fe", "credentials": { "gmailOAuth2": { "id": "gO8EWg5jZuSVkFxz", "name": "Gmail account" } } }, { "parameters": { "jsCode": "const labels = $('Get Gmail Labels').all();\nconst email = $input.item.json;\n\nconst subject = email.subject || email.Subject || '';\nconst from = email.from || email.From || '';\nconst to = email.to || email.To || '';\nconst snippet = email.snippet || '';\n\n// Base64 decoder for Gmail API body content\nfunction decodeBase64(str) {\n try {\n return Buffer.from(str, 'base64').toString('utf-8');\n } catch {\n return str;\n }\n}\n\n// Prefer full plain-text body; fall back to HTML-stripped text, then snippet\nlet rawBody = '';\nif (email.text) rawBody = email.text;\nelse if (email.body?.text) rawBody = email.body.text;\nelse if (email.payload?.body?.data) rawBody = decodeBase64(email.payload.body.data);\nelse if (email.payload?.parts) {\n // Handle multipart emails - find text/plain part\n const textPart = email.payload.parts.find(p => p.mimeType === 'text/plain' && p.body?.data);\n if (textPart) rawBody = decodeBase64(textPart.body.data);\n else {\n // Try HTML part as fallback\n const htmlPart = email.payload.parts.find(p => p.mimeType === 'text/html' && p.body?.data);\n if (htmlPart) rawBody = decodeBase64(htmlPart.body.data).replace(/<[^>]+>/g, ' ');\n }\n}\nconst htmlBody = email.html || email.body?.html || '';\nconst strippedHtml = htmlBody.replace(/<[^>]+>/g, ' ').replace(/\\s{2,}/g, ' ').trim();\nconst bodyText = (rawBody || strippedHtml || snippet).substring(0, 2000);\n\nconst existingLabels = labels.filter(l => l.json.type === 'user').map(l => ({ id: l.json.id, name: l.json.name }));\nconst existingLabelsList = existingLabels.map(l => l.name).join(', ');\n\n// Fixed professional taxonomy — AI must pick exactly one of these\nconst taxonomy = [\n 'Finance',\n 'Bills',\n 'Banking',\n 'Receipts',\n 'Orders',\n 'Work',\n 'Recruitment',\n 'Legal',\n 'Security',\n 'Newsletters',\n 'Notifications',\n 'Travel',\n 'Health',\n 'Social',\n 'AI',\n 'Dev',\n 'Support',\n 'Personal',\n 'Promotions'\n];\n\nconst categoryDescriptions = [\n 'Finance — investment, stocks, crypto, trading, portfolio, dividends',\n 'Bills — utility bills, subscriptions, recurring charges, due payments',\n 'Banking — bank statements, account activity, wire transfers, card alerts',\n 'Receipts — purchase confirmations, payment receipts, invoices',\n 'Orders — order placed/shipped/delivered, tracking, e-commerce',\n 'Work — colleagues, meetings, projects, business tasks, office topics',\n 'Recruitment — job offers, interviews, applications, LinkedIn recruiter messages',\n 'Legal — contracts, terms of service, compliance, legal notices',\n 'Security — password resets, 2FA codes, login alerts, account security warnings',\n 'Newsletters — editorial newsletters, blog digests, content subscriptions',\n 'Notifications — automated system alerts, app notifications, ping messages',\n 'Travel — flights, hotels, car rentals, itineraries, booking confirmations',\n 'Health — medical appointments, prescriptions, health insurance, lab results',\n 'Social — personal communications, events, invitations, friends and family',\n 'AI — AI tools, LLM services, AI product updates',\n 'Dev — code repositories, CI/CD, developer tools, GitHub, APIs',\n 'Support — customer support tickets, help desk replies, service issues',\n 'Personal — personal admin, government, private matters not covered above',\n 'Promotions — marketing emails, sales, discounts, advertisements'\n];\n\nreturn {\n emailId: email.id,\n emailSubject: subject || '(no subject)',\n emailFrom: from || '(unknown sender)',\n emailTo: to || '(unknown recipient)',\n bodyText,\n existingLabels,\n existingLabelsList,\n taxonomy,\n categoryDescriptions\n};" }, "id": "98b4260a-5de1-4946-b459-87dba1f812e3", "name": "Prepare Email Data", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 16656, -128 ] }, { "parameters": { "promptType": "define", "text": "You are an email analysis agent. Extract the following from this email:\n\n1. SENDER CONTEXT: Who sent this? (person, company, automated system)\n2. PRIMARY INTENT: What is the main purpose? (inform, request, confirm, alert, sell)\n3. KEY ENTITIES: What specific things are mentioned? (products, services, dates, amounts)\n4. URGENCY: Does this require action? (urgent, normal, informational)\n5. DOMAIN: What business domain does this fall into? (finance, travel, work, shopping, etc.)\n\nReturn JSON only:\n{\n \"sender_context\": \"...\",\n \"primary_intent\": \"...\",\n \"key_entities\": [\"...\", \"...\"],\n \"urgency\": \"...\",\n \"domain\": \"...\"\n}\n\n--- EMAIL TO ANALYZE ---\nFrom: {{ $('Prepare Email Data').item.json.emailFrom }}\nTo: {{ $('Prepare Email Data').item.json.emailTo }}\nSubject: {{ $('Prepare Email Data').item.json.emailSubject }}\n\nBody:\n{{ $('Prepare Email Data').item.json.bodyText }}" }, "id": "f318943d-4e60-4be9-98a3-eb24829bb68c", "name": "Step 1: Summarize Email", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.4, "position": [ 16848, -128 ] }, { "parameters": { "promptType": "define", "text": "Given this email analysis:\n{{ $json.json }}\n\nAvailable label taxonomy:\n{{ $('Prepare Email Data').item.json.taxonomy.join(', ') }}\n\nGenerate 3 candidate categories from the taxonomy that could fit this email.\nFor each candidate, provide:\n- Category name (must be EXACTLY from taxonomy)\n- Confidence score (0.0 - 1.0)\n- One-sentence reasoning why it fits\n\nReturn JSON only:\n{\n \"candidates\": [\n {\"category\": \"...\", \"confidence\": 0.9, \"reason\": \"...\"},\n {\"category\": \"...\", \"confidence\": 0.7, \"reason\": \"...\"},\n {\"category\": \"...\", \"confidence\": 0.4, \"reason\": \"...\"}\n ]\n}" }, "id": "a5f95b15-2204-4056-9b4c-edeaa50249bd", "name": "Step 2: Generate Candidates", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.4, "position": [ 17152, -128 ] }, { "parameters": { "promptType": "define", "text": "Review the candidates below and select the single best category.\nConsider:\n- Does the reasoning align with email content?\n- Is the confidence score justified?\n- Are there any red flags (sarcasm, ambiguity, mixed topics)?\n\nCandidates:\n{{ $json.json }}\n\nEmail Subject: {{ $('Prepare Email Data').item.json.emailSubject }}\nEmail From: {{ $('Prepare Email Data').item.json.emailFrom }}\n\nReturn JSON only:\n{\n \"selected_category\": \"...\",\n \"final_confidence\": 0.95,\n \"explanation\": \"...\"\n}" }, "id": "54b7d7b1-03c2-4411-b386-08c2f9a44080", "name": "Step 3: Select Best", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.4, "position": [ 17440, -128 ] }, { "parameters": { "promptType": "define", "text": "Verify this category assignment is correct:\n- Selected: {{ $json.json.selected_category }}\n- Email subject: {{ $('Prepare Email Data').item.json.emailSubject }}\n- Email from: {{ $('Prepare Email Data').item.json.emailFrom }}\n\nExisting Gmail labels: {{ $('Prepare Email Data').item.json.existingLabelsList }}\n\nTaxonomy: {{ $('Prepare Email Data').item.json.taxonomy.join(', ') }}\n\nReturn ONLY a valid JSON object. Do not include any conversational text, explanations, or markdown formatting. Your output must be parseable by JSON.parse().\n\n{\n \"valid\": true/false,\n \"matched_label_id\": \"...\" or null,\n \"matched_label_name\": \"...\" or null,\n \"alternative_suggestion\": \"...\" (if invalid)\n}" }, "id": "6cd36d79-1a3a-4196-a364-09900aeff023", "name": "Step 4: Validate Against Labels", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.4, "position": [ 17712, -128 ] }, { "parameters": { "model": "gemma4:31b-cloud", "options": { "temperature": 0 } }, "id": "0f2bd375-7a70-4f93-bd6a-f92f08c41d31", "name": "Ollama Model", "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "typeVersion": 1, "position": [ 17296, 128 ], "credentials": { "ollamaApi": { "id": "9k920xXzUND3cX1z", "name": "Ollama account" } } }, { "parameters": { "jsCode": "function safeParse(text) {\n if (!text) return {};\n try {\n const cleanedText = text.replace(/```json\\n?|```/g, '').trim();\n return JSON.parse(cleanedText);\n } catch (e) {\n console.error(\"Failed to parse JSON, treating as plain text:\", e);\n return { text: text, isPlainText: true };\n }\n}\n\n// Parse Step 4 output (Validate Against Labels)\nconst step4Output = safeParse($json.text);\nconst preparedData = $('Prepare Email Data').item.json;\n\n// Extract selected category from Step 3\nconst step3Output = safeParse($('Step 3: Select Best').item.json.text);\nconst selectedCategory = step3Output.selected_category || step3Output.text || 'Notifications';\n\n// Find matching label from existing Gmail labels\nfunction normalize(str) {\n return (str || '').toLowerCase().trim();\n}\n\nconst normalizedSelected = normalize(selectedCategory);\nlet matchedLabel = preparedData.existingLabels.find(l => normalize(l.name) === normalizedSelected)\n || preparedData.existingLabels.find(l => normalize(l.name).includes(normalizedSelected))\n || preparedData.existingLabels.find(l => normalizedSelected.includes(normalize(l.name)));\n\n// Confidence threshold - if below 0.7, mark as uncategorized\nconst finalConfidence = step3Output.final_confidence || 0;\nconst isLowConfidence = finalConfidence < 0.7;\n\nif (matchedLabel && matchedLabel.id && !isLowConfidence) {\n return {\n emailId: preparedData.emailId,\n emailSubject: preparedData.emailSubject,\n emailFrom: preparedData.emailFrom,\n matchedLabelId: matchedLabel.id,\n matchedLabelName: matchedLabel.name,\n selectedCategory,\n confidence: finalConfidence,\n explanation: step3Output.explanation || '',\n status: 'matched'\n };\n} else if (isLowConfidence) {\n return {\n emailId: preparedData.emailId,\n emailSubject: preparedData.emailSubject,\n emailFrom: preparedData.emailFrom,\n matchedLabelId: null,\n matchedLabelName: null,\n selectedCategory,\n confidence: finalConfidence,\n explanation: step3Output.explanation || '',\n status: 'low_confidence'\n };\n} else {\n return {\n emailId: preparedData.emailId,\n emailSubject: preparedData.emailSubject,\n emailFrom: preparedData.emailFrom,\n matchedLabelId: null,\n matchedLabelName: null,\n selectedCategory,\n confidence: finalConfidence,\n explanation: step3Output.explanation || '',\n status: 'no_match'\n };\n}" }, "id": "68ddffc4-8b79-4c86-83ea-d0794429272b", "name": "Match Label", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18016, -128 ] }, { "parameters": { "conditions": { "options": { "caseSensitive": true }, "conditions": [ { "id": "check-has-match", "leftValue": "={{ $json.status }}", "rightValue": "matched", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "id": "526c07a0-f0fd-4014-ab0b-f8abc12ed9ae", "name": "Has Match?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 18224, -224 ] }, { "parameters": { "operation": "addLabels", "messageId": "={{ $json.emailId }}", "labelIds": "={{ $json.matchedLabelId }}" }, "id": "6bd73b59-6dde-4dfd-900d-b2c9c7abf73d", "name": "Apply Existing Label", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 18432, -384 ], "webhookId": "e97fb5ae-cc82-413e-ac5b-34c4dc1e2117", "credentials": { "gmailOAuth2": { "id": "gO8EWg5jZuSVkFxz", "name": "Gmail account" } } }, { "parameters": { "operation": "removeLabels", "messageId": "={{ $('Match Label').item.json.emailId }}", "labelIds": [ "INBOX" ] }, "id": "ac49dc3b-5ae5-4f3d-b89c-4c73d2ea5ada", "name": "Remove From Inbox", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 18624, -384 ], "webhookId": "996e799b-05f0-49a3-be5f-1194119f577e", "credentials": { "gmailOAuth2": { "id": "gO8EWg5jZuSVkFxz", "name": "Gmail account" } } }, { "parameters": {}, "id": "f5b22d62-b5c4-4471-90c7-02887b083ebd", "name": "Merge Results", "type": "n8n-nodes-base.merge", "typeVersion": 3, "position": [ 19024, -192 ] }, { "parameters": { "chatId": "-1003769081383", "text": "={{ $json.message }}", "additionalFields": {} }, "id": "68e0caab-fb05-41d2-9d76-cb8c14e4cad0", "name": "Telegram Summary", "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 19376, -192 ], "webhookId": "bd91720a-8c00-47bd-8805-da65eb8a600b", "credentials": { "telegramApi": { "id": "bnyBxist2KsEGbou", "name": "Gmail Organizer" } } }, { "parameters": { "jsCode": "const preparedData = $('Prepare Email Data').item.json;\nconst labelData = $('Match Label').item.json;\n\nreturn {\n emailId: labelData.emailId,\n emailSubject: preparedData.emailSubject,\n emailFrom: preparedData.emailFrom,\n labelApplied: labelData.matchedLabelName,\n newLabelCreated: false,\n status: 'labeled_existing'\n};" }, "id": "7ee515e3-5afd-45b7-8be3-6ec3e7f29594", "name": "Collect Existing Label Result", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18800, -208 ] }, { "parameters": { "jsCode": "const items = $input.all();\n\nif (items.length === 0) {\n return [{\n json: {\n message: 'Email organizer run completed, but no emails were processed.'\n }\n }];\n}\n\nconst total = items.length;\nconst createdCount = items.filter(item => item.json.newLabelCreated).length;\nconst reusedCount = total - createdCount;\nconst maxLines = 25;\nconst lines = items.slice(0, maxLines).map((item, index) => {\n const email = item.json;\n return `${index + 1}. ${email.emailSubject}\\n From: ${email.emailFrom}\\n Label: ${email.labelApplied}${email.newLabelCreated ? ' (new)' : ''}`;\n});\n\nif (total > maxLines) {\n lines.push(`...and ${total - maxLines} more emails.`);\n}\n\nconst message = [\n 'Email organizer summary',\n '',\n `Processed: ${total}`,\n `Existing labels reused: ${reusedCount}`,\n `New labels created: ${createdCount}`,\n '',\n 'Emails:',\n ...lines\n].join('\\n');\n\nreturn [{\n json: {\n message,\n totalProcessed: total,\n reusedCount,\n createdCount\n }\n}];" }, "id": "f89f3b81-53e8-47d3-9bfa-bb27610bd824", "name": "Build Batch Summary", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 19216, -192 ] } ], "pinData": {}, "connections": { "Manual Trigger": { "main": [ [ { "node": "Get All Labels", "type": "main", "index": 0 } ] ] }, "Get All Labels": { "main": [ [ { "node": "Format Label List", "type": "main", "index": 0 } ] ] }, "Format Label List": { "main": [ [ { "node": "Send Label Audit", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Get Gmail Labels", "type": "main", "index": 0 } ] ] }, "Get Gmail Labels": { "main": [ [ { "node": "Get Unlabeled Emails", "type": "main", "index": 0 } ] ] }, "Get Unlabeled Emails": { "main": [ [ { "node": "Prepare Email Data", "type": "main", "index": 0 } ] ] }, "Prepare Email Data": { "main": [ [ { "node": "Step 1: Summarize Email", "type": "main", "index": 0 } ] ] }, "Ollama Model": { "ai_languageModel": [ [ { "node": "Step 1: Summarize Email", "type": "ai_languageModel", "index": 0 }, { "node": "Step 2: Generate Candidates", "type": "ai_languageModel", "index": 0 }, { "node": "Step 3: Select Best", "type": "ai_languageModel", "index": 0 }, { "node": "Step 4: Validate Against Labels", "type": "ai_languageModel", "index": 0 } ] ] }, "Step 1: Summarize Email": { "main": [ [ { "node": "Step 2: Generate Candidates", "type": "main", "index": 0 } ] ] }, "Step 2: Generate Candidates": { "main": [ [ { "node": "Step 3: Select Best", "type": "main", "index": 0 } ] ] }, "Step 3: Select Best": { "main": [ [ { "node": "Step 4: Validate Against Labels", "type": "main", "index": 0 } ] ] }, "Step 4: Validate Against Labels": { "main": [ [ { "node": "Match Label", "type": "main", "index": 0 } ] ] }, "Match Label": { "main": [ [ { "node": "Has Match?", "type": "main", "index": 0 } ] ] }, "Has Match?": { "main": [ [ { "node": "Apply Existing Label", "type": "main", "index": 0 } ], [ { "node": "Collect Existing Label Result", "type": "main", "index": 0 } ] ] }, "Apply Existing Label": { "main": [ [ { "node": "Remove From Inbox", "type": "main", "index": 0 } ] ] }, "Remove From Inbox": { "main": [ [ { "node": "Collect Existing Label Result", "type": "main", "index": 0 } ] ] }, "Collect Existing Label Result": { "main": [ [ { "node": "Merge Results", "type": "main", "index": 0 } ] ] }, "Merge Results": { "main": [ [ { "node": "Build Batch Summary", "type": "main", "index": 0 } ] ] }, "Build Batch Summary": { "main": [ [ { "node": "Telegram Summary", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1", "binaryMode": "separate" }, "versionId": "f71fa09f-9824-4efd-89fe-f0ba357b06c3", "meta": { "instanceId": "e09d1f0f8b9f78e80ac70b6dc8726dd263b0b6ffc4300b0eee3b58f6da316f29" }, "id": "1d4yBFeOloT625xN", "tags": [ { "updatedAt": "2026-03-17T19:45:12.616Z", "createdAt": "2026-03-17T19:45:12.616Z", "id": "Aoeg74KWWTIHIqLw", "name": "Organizer" } ] }