{ "id": "WORKFLOW_ID_PLACEHOLDER", "name": "Classify Gmail emails with AI and auto-label with smart reply drafts using Ollama", "tags": [], "nodes": [ { "id": "e654e5c9-b2d2-4fda-b7c9-848a63fc2d93", "name": "Sticky Note - Main Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -400, -112 ], "parameters": { "color": 4, "width": 740, "height": 1000, "content": "## Classify Gmail emails with AI and auto-label with smart reply drafts\n\nAutomatically classify every incoming email using a local AI model (Ollama), apply Gmail labels, and generate smart reply drafts for important messages \u2014 zero paid APIs required.\n\n### How it works\n1. **Gmail Trigger** watches your inbox for new unread emails every 30 minutes.\n2. **Extract Email Data** parses the sender, subject, body, and metadata into clean fields.\n3. **AI Classifier** (Ollama, local) analyzes the email and classifies it into one of 6 categories: \ud83d\udd34 Urgent, \ud83d\udccb Action Required, \ud83d\udcac Follow-up, \ud83d\udcf0 Newsletter, \ud83e\udd16 Automated, or \ud83d\udeab Spam/Promotional.\n4. **Smart Router** sends each email down its dedicated path based on classification.\n5. **Gmail Labels** are automatically applied so your inbox is organized without lifting a finger.\n6. **Reply Drafts** are generated by AI for Urgent and Action Required emails \u2014 ready for you to review, edit, and send.\n7. **Summary Log** tracks every processed email in Google Sheets for analytics and review.\n\n### Setup steps\n1. **Gmail OAuth** \u2014 Connect your Google account with read, modify, and compose permissions.\n2. **Create Gmail Labels** \u2014 In Gmail, manually create these labels:\n - `\ud83d\udd34 Urgent`, `\ud83d\udccb Action Required`, `\ud83d\udcac Follow-up`, `\ud83d\udcf0 Newsletter`, `\ud83e\udd16 Automated`, `\ud83d\udeab Spam-Promo`\n3. **Get Label IDs** \u2014 Use Gmail API or n8n to find each label's ID. Update the `labelIds` in each Gmail Label node.\n4. **Ollama** \u2014 Ensure Ollama is running locally with your preferred model pulled (default: `mistral`). Change the model name in the Ollama Chat Model node if needed.\n5. **Google Sheets** (optional) \u2014 Connect your credential and set a spreadsheet ID for the logging node.\n6. **Test** \u2014 Send yourself test emails (urgent, newsletter, promotional) and run manually to verify accuracy.\n\n### Customization\n- Swap `mistral` for `llama3`, `gemma2`, or any Ollama model.\n- Add more categories by editing the AI prompt and adding Switch outputs.\n- Change the reply draft tone (formal, casual, friendly) in the AI prompt.\n- Add Slack/Telegram notifications for urgent emails.\n- Add auto-archive for newsletters and spam.\n- Decrease the polling interval for near-real-time processing.\n- Add sender whitelist/blacklist logic before the AI node." }, "typeVersion": 1 }, { "id": "9fb47ffc-8479-4013-80dd-ea78e55d6227", "name": "Sticky Note - Email Intake", "type": "n8n-nodes-base.stickyNote", "position": [ 160, 960 ], "parameters": { "color": 6, "width": 560, "height": 260, "content": "## \ud83d\udce5 Email Intake\nGmail trigger watches inbox for unread emails, then extracts and cleans email data" }, "typeVersion": 1 }, { "id": "6c54a558-173b-44b8-80f8-38825cb5d8c6", "name": "Sticky Note - AI Classification", "type": "n8n-nodes-base.stickyNote", "position": [ 768, 960 ], "parameters": { "color": 6, "width": 520, "height": 308, "content": "## \ud83e\udd16 AI Classification\nOllama analyzes email content and returns category, priority, and reply draft" }, "typeVersion": 1 }, { "id": "c3a16e2d-adc1-4e00-a31a-c409814efb02", "name": "Sticky Note - Route and Label", "type": "n8n-nodes-base.stickyNote", "position": [ 1328, 768 ], "parameters": { "color": 6, "width": 960, "height": 1004, "content": "## \ud83d\udd00 Route, Label & Draft\nSwitch by category, apply Gmail labels, create reply drafts for important emails" }, "typeVersion": 1 }, { "id": "59d64a60-80df-426e-a485-43872e4bead0", "name": "Sticky Note - Logging", "type": "n8n-nodes-base.stickyNote", "position": [ 2352, 960 ], "parameters": { "color": 6, "width": 400, "height": 296, "content": "## \ud83d\udcca Logging\nEvery processed email is logged to Google Sheets for analytics" }, "typeVersion": 1 }, { "id": "31261316-e9da-490d-9bfa-3f3d30364b22", "name": "Sticky Note - Warning Labels", "type": "n8n-nodes-base.stickyNote", "position": [ 1344, 1840 ], "parameters": { "color": 3, "width": 360, "content": "## \u26a0\ufe0f Create Gmail Labels First\nYou must manually create these labels in Gmail before activating:\n`\ud83d\udd34 Urgent`, `\ud83d\udccb Action Required`, `\ud83d\udcac Follow-up`, `\ud83d\udcf0 Newsletter`, `\ud83e\udd16 Automated`, `\ud83d\udeab Spam-Promo`\nThen update the Label IDs in each labeling node." }, "typeVersion": 1 }, { "id": "b0f03be3-f1c2-4f44-8ec9-ee2fd8865420", "name": "Sticky Note - Warning Ollama", "type": "n8n-nodes-base.stickyNote", "position": [ 784, 1344 ], "parameters": { "color": 3, "width": 300, "height": 140, "content": "## \u26a0\ufe0f Check Ollama Model\nDefault model: `mistral`. Make sure it's pulled:\n`ollama pull mistral`\nOr change to `llama3`, `gemma2`, etc." }, "typeVersion": 1 }, { "id": "db9674d4-8f0e-4594-85c3-fd60cce764c6", "name": "\ud83d\udce5 Gmail Trigger", "type": "n8n-nodes-base.gmailTrigger", "position": [ 208, 1088 ], "parameters": { "simple": false, "filters": { "readStatus": "unread" }, "options": {}, "pollTimes": { "item": [ { "mode": "everyX", "unit": "minutes", "value": 30 } ] } }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 1.2 }, { "id": "950c6313-8ef5-4f82-a8b0-2918e868bbfe", "name": "\ud83d\udd27 Extract Email Data", "type": "n8n-nodes-base.code", "position": [ 448, 1088 ], "parameters": { "jsCode": "// Extract and clean email data for AI processing\nconst items = $input.all();\nconst processedEmails = [];\n\nfor (const item of items) {\n const email = item.json;\n \n // ============================================\n // SAFELY EXTRACT HEADERS (handles all formats)\n // ============================================\n \n function safeString(value) {\n if (!value) return '';\n if (typeof value === 'string') return value;\n if (Array.isArray(value)) return value.map(v => safeString(v)).join(', ');\n if (typeof value === 'object') {\n // Gmail sometimes returns { name: \"John\", email: \"user@example.com\" }\n if (value.value) return safeString(value.value);\n if (value.text) return safeString(value.text);\n if (value.email && value.name) return `${value.name} <${value.email}>`;\n if (value.email) return value.email;\n if (value.address) return value.address;\n return JSON.stringify(value);\n }\n return String(value);\n }\n \n function getHeader(headers, name) {\n if (!headers || !Array.isArray(headers)) return '';\n const found = headers.find(h => \n h && h.name && h.name.toLowerCase() === name.toLowerCase()\n );\n return found ? safeString(found.value) : '';\n }\n \n // Try multiple Gmail node output formats\n let fromHeader = '';\n let subjectHeader = '';\n let dateHeader = '';\n let toHeader = '';\n let ccHeader = '';\n let replyToHeader = '';\n \n // Format 1: Gmail Trigger v1 (flat fields)\n if (email.from) {\n fromHeader = safeString(email.from);\n subjectHeader = safeString(email.subject || '');\n dateHeader = safeString(email.date || email.internalDate || '');\n toHeader = safeString(email.to || '');\n ccHeader = safeString(email.cc || '');\n replyToHeader = safeString(email.replyTo || '');\n }\n \n // Format 2: Gmail API raw (payload.headers array)\n if (email.payload && email.payload.headers) {\n fromHeader = fromHeader || getHeader(email.payload.headers, 'from');\n subjectHeader = subjectHeader || getHeader(email.payload.headers, 'subject');\n dateHeader = dateHeader || getHeader(email.payload.headers, 'date');\n toHeader = toHeader || getHeader(email.payload.headers, 'to');\n ccHeader = ccHeader || getHeader(email.payload.headers, 'cc');\n replyToHeader = replyToHeader || getHeader(email.payload.headers, 'reply-to');\n }\n \n // Format 3: Some Gmail nodes use headers directly\n if (email.headers) {\n const h = email.headers;\n fromHeader = fromHeader || safeString(h.from || h.From || '');\n subjectHeader = subjectHeader || safeString(h.subject || h.Subject || '');\n dateHeader = dateHeader || safeString(h.date || h.Date || '');\n toHeader = toHeader || safeString(h.to || h.To || '');\n ccHeader = ccHeader || safeString(h.cc || h.Cc || '');\n }\n \n // Format 4: labelIds at top level (Gmail Trigger v2)\n if (!fromHeader && email.labelIds) {\n fromHeader = safeString(email.from || '');\n subjectHeader = safeString(email.subject || '');\n }\n \n // ============================================\n // PARSE SENDER NAME AND EMAIL\n // ============================================\n let senderName = '';\n let senderEmail = '';\n let senderDomain = '';\n \n // Ensure fromHeader is definitely a string before regex\n fromHeader = String(fromHeader || '');\n subjectHeader = String(subjectHeader || '');\n \n try {\n // Try \"Name \" format\n const senderMatch = fromHeader.match(/^\"?([^\"<]+)\"?\\s*]*)>?$/);\n if (senderMatch && senderMatch[2]) {\n senderName = senderMatch[1].trim();\n senderEmail = senderMatch[2].trim();\n } else if (fromHeader.includes('@')) {\n // Just an email address\n senderEmail = fromHeader.trim();\n senderName = senderEmail.split('@')[0];\n } else {\n senderName = fromHeader;\n senderEmail = fromHeader;\n }\n \n senderDomain = senderEmail.includes('@') ? senderEmail.split('@')[1] : '';\n } catch (e) {\n senderName = fromHeader;\n senderEmail = fromHeader;\n senderDomain = '';\n }\n \n // ============================================\n // EXTRACT BODY TEXT\n // ============================================\n let bodyText = '';\n \n // Try direct text fields first (most Gmail trigger versions)\n if (email.text) {\n bodyText = safeString(email.text);\n } else if (email.textPlain) {\n bodyText = safeString(email.textPlain);\n } else if (email.snippet) {\n bodyText = safeString(email.snippet);\n } else if (email.textHtml) {\n bodyText = safeString(email.textHtml);\n }\n \n // Try payload body\n if (!bodyText && email.payload) {\n if (email.payload.body && email.payload.body.data) {\n try {\n bodyText = Buffer.from(email.payload.body.data, 'base64').toString('utf-8');\n } catch (e) {}\n }\n \n // Try multipart\n if (!bodyText && email.payload.parts) {\n for (const part of email.payload.parts) {\n if (part.mimeType === 'text/plain' && part.body && part.body.data) {\n try {\n bodyText = Buffer.from(part.body.data, 'base64').toString('utf-8');\n break;\n } catch (e) {}\n }\n }\n // Fallback to HTML part\n if (!bodyText) {\n for (const part of email.payload.parts) {\n if (part.mimeType === 'text/html' && part.body && part.body.data) {\n try {\n bodyText = Buffer.from(part.body.data, 'base64').toString('utf-8');\n break;\n } catch (e) {}\n }\n }\n }\n }\n }\n \n // Use snippet as last resort\n if (!bodyText && email.snippet) {\n bodyText = safeString(email.snippet);\n }\n \n // Clean body text\n bodyText = String(bodyText || '')\n .replace(/<[^>]+>/g, ' ') // Strip HTML\n .replace(/\\r\\n/g, '\\n') // Normalize newlines\n .replace(/\\n{3,}/g, '\\n\\n') // Max 2 newlines\n .replace(/ /g, ' ')\n .replace(/&/g, '&')\n .replace(/</g, '<')\n .replace(/>/g, '>')\n .replace(/"/g, '\"')\n .replace(/'/g, \"'\")\n .replace(/\\s+/g, ' ') // Collapse whitespace\n .trim()\n .substring(0, 3000); // Limit for AI\n \n // ============================================\n // DETECT FLAGS\n // ============================================\n const hasAttachments = !!(\n (email.payload && email.payload.parts && email.payload.parts.some(p => p.filename && p.filename.length > 0)) ||\n email.attachments ||\n (Array.isArray(email.attachments) && email.attachments.length > 0)\n );\n \n const isReply = subjectHeader.toLowerCase().startsWith('re:');\n const isForward = subjectHeader.toLowerCase().startsWith('fwd:') || subjectHeader.toLowerCase().startsWith('fw:');\n \n // ============================================\n // BUILD OUTPUT\n // ============================================\n processedEmails.push({\n json: {\n // Gmail metadata\n gmailId: email.id || email.messageId || '',\n threadId: email.threadId || '',\n labelIds: email.labelIds || [],\n \n // Parsed fields\n from: fromHeader,\n senderName: senderName,\n senderEmail: senderEmail,\n senderDomain: senderDomain,\n to: toHeader,\n cc: ccHeader,\n replyTo: replyToHeader || senderEmail,\n subject: subjectHeader,\n date: dateHeader,\n \n // Content\n bodyText: bodyText,\n bodyPreview: bodyText.substring(0, 300),\n \n // Flags\n hasAttachments: hasAttachments,\n isReply: isReply,\n isForward: isForward,\n \n // Processing\n processedAt: new Date().toISOString()\n }\n });\n}\n\nif (processedEmails.length === 0) {\n return [{ json: { error: 'No emails to process', processedAt: new Date().toISOString() } }];\n}\n\nreturn processedEmails;" }, "typeVersion": 2 }, { "id": "ce560c12-b054-404e-be51-d210d1b677d1", "name": "\ud83e\udd16 AI Email Classifier", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 800, 1088 ], "parameters": { "text": "=Classify this email and generate a reply draft if needed.\n\n--- EMAIL DATA ---\nFrom: {{ $json.from }}\nTo: {{ $json.to }}\nCC: {{ $json.cc }}\nSubject: {{ $json.subject }}\nDate: {{ $json.date }}\nHas Attachments: {{ $json.hasAttachments }}\nIs Reply: {{ $json.isReply }}\nIs Forward: {{ $json.isForward }}\nSender Domain: {{ $json.senderDomain }}\n\n--- EMAIL BODY ---\n{{ $json.bodyText }}\n\n--- CLASSIFY AND RESPOND ---", "options": { "systemMessage": "You are an expert email triage assistant. Your job is to classify incoming emails and generate appropriate reply drafts for important ones.\n\n---\n\nEMAIL CATEGORIES (choose exactly one):\n\n1. urgent\n - Requires immediate attention or response within hours\n - Time-sensitive requests, deadlines today/tomorrow\n - Boss/client escalations, critical issues\n - Payment/billing problems that need immediate action\n - Meeting in the next few hours that needs confirmation\n - Keywords: ASAP, urgent, immediately, deadline, critical, emergency, end of day, EOD\n\n2. action_required\n - Needs a response or action but not time-critical\n - Meeting requests, document reviews, approval requests\n - Questions that need thoughtful answers\n - Project updates requiring input\n - Invitations needing RSVP\n - Collaboration requests\n\n3. follow_up\n - Informational but may need future action\n - Status updates, FYI emails\n - Shared documents for review later\n - Introductions and networking\n - Ongoing conversation threads\n - Thank you emails that might need acknowledgment\n\n4. newsletter\n - Subscribed content, digests, roundups\n - Blog post notifications\n - Industry news, product updates from services you use\n - Weekly/monthly summaries\n - Educational content, webinar invites\n - Has unsubscribe link\n\n5. automated\n - System-generated notifications\n - Order confirmations, shipping updates\n - Password resets, login alerts\n - Calendar notifications\n - CI/CD pipeline alerts\n - Monitoring alerts, server notifications\n - Sent from noreply@ or notification@ addresses\n\n6. spam_promo\n - Unsolicited marketing, cold outreach you did not request\n - Promotional offers, discount codes\n - \"You've been selected\" type emails\n - Link-heavy promotional content\n - Mass marketing campaigns\n - Emails from unknown senders with salesy language\n\n---\n\nCLASSIFICATION RULES:\n\n1. Look at the sender domain \u2014 noreply@, notification@, marketing@ are strong signals.\n2. Check the subject line for urgency keywords.\n3. Analyze the body for calls to action, deadlines, or questions directed at the recipient.\n4. If the email is a reply in a thread (is_reply = true), it's more likely action_required or follow_up.\n5. Forwarded emails often need action or are FYI.\n6. Short emails with direct questions = action_required or urgent.\n7. Long emails with links and images = newsletter or spam_promo.\n8. When in doubt between newsletter and spam_promo, check if the sender seems legitimate.\n9. When in doubt between action_required and follow_up, lean toward action_required.\n\n---\n\nREPLY DRAFT RULES:\n\n- Generate a reply draft ONLY for: urgent, action_required, and follow_up categories.\n- Do NOT generate replies for: newsletter, automated, spam_promo.\n- Reply tone: Professional but warm. Not robotic.\n- Reply length: 30-80 words. Short and actionable.\n- Start with context acknowledgment, then address the ask.\n- End with a clear next step or question.\n- Do NOT include subject line in the reply body.\n- Do NOT include greetings like \"Dear\" \u2014 use first name.\n- Sign off with just \"Best,\" or \"Thanks,\" (the user will add their name).\n\n---\n\nPRIORITY SCORING:\n- 1 = Low (newsletters, automated, spam)\n- 2 = Medium (follow-up, informational)\n- 3 = High (action required, needs response)\n- 4 = Critical (urgent, time-sensitive)\n\n---\n\nRESPOND WITH ONLY RAW JSON. No markdown fences. No explanation. Start with { end with }.\n\n{\n \"category\": \"urgent\" or \"action_required\" or \"follow_up\" or \"newsletter\" or \"automated\" or \"spam_promo\",\n \"priority\": 1 to 4,\n \"confidence\": 0.0 to 1.0,\n \"reason\": \"One sentence explaining why this classification was chosen\",\n \"summary\": \"2-3 sentence summary of what the email is about\",\n \"keyAction\": \"What the recipient needs to do (if anything)\" or \"No action needed\",\n \"replyDraft\": \"The suggested reply text\" or \"\",\n \"replySubject\": \"Re: original subject\" or \"\",\n \"suggestedLabel\": \"\ud83d\udd34 Urgent\" or \"\ud83d\udccb Action Required\" or \"\ud83d\udcac Follow-up\" or \"\ud83d\udcf0 Newsletter\" or \"\ud83e\udd16 Automated\" or \"\ud83d\udeab Spam-Promo\",\n \"shouldAutoArchive\": true or false,\n \"sentimentTone\": \"positive\" or \"neutral\" or \"negative\" or \"urgent\"\n}" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2.1 }, { "id": "abdbf241-4eb7-47b4-983d-23da8b06848f", "name": "\ud83c\udfaf Extract Classification", "type": "n8n-nodes-base.code", "position": [ 1088, 1088 ], "parameters": { "jsCode": "// Extract AI classification from response\nconst emailData = $('\ud83d\udd27 Extract Email Data').item.json;\nconst rawAiOutput = $json;\n\nlet classData = {};\n\nfunction extractJSON(str) {\n if (typeof str !== 'string') return null;\n let cleaned = str.replace(/```json\\s*/gi, '').replace(/```\\s*/g, '').trim();\n try { return JSON.parse(cleaned); } catch (e) {\n const match = cleaned.match(/\\{[\\s\\S]*\"category\"\\s*:[\\s\\S]*\\}/);\n if (match) { try { return JSON.parse(match[0]); } catch (e2) { return null; } }\n return null;\n }\n}\n\nfunction findAIResponse(obj, depth = 0) {\n if (depth > 5 || !obj || typeof obj !== 'object') return null;\n if (obj.category && typeof obj.category === 'string') return obj;\n const props = ['output', 'text', 'message', 'content', 'response', 'result', 'data', 'json', 'kwargs', 'lc_kwargs'];\n for (const prop of props) {\n if (obj[prop] !== undefined) {\n if (typeof obj[prop] === 'string') { const p = extractJSON(obj[prop]); if (p && p.category) return p; }\n else if (typeof obj[prop] === 'object') { const f = findAIResponse(obj[prop], depth + 1); if (f) return f; }\n }\n }\n for (const key of Object.keys(obj)) {\n if (props.includes(key)) continue;\n const val = obj[key];\n if (typeof val === 'string' && val.includes('\"category\"')) { const p = extractJSON(val); if (p && p.category) return p; }\n else if (typeof val === 'object' && val !== null) { const f = findAIResponse(val, depth + 1); if (f) return f; }\n }\n return null;\n}\n\ntry {\n if (rawAiOutput && rawAiOutput.category) { classData = rawAiOutput; }\n else { const found = findAIResponse(rawAiOutput); if (found) classData = found; }\n if (!classData.category) { const s = JSON.stringify(rawAiOutput); const p = extractJSON(s); if (p && p.category) classData = p; }\n} catch (error) {}\n\nconst validCategories = ['urgent', 'action_required', 'follow_up', 'newsletter', 'automated', 'spam_promo'];\n\nif (!classData.category || !validCategories.includes(classData.category)) {\n classData = {\n category: 'follow_up',\n priority: 2,\n confidence: 0.5,\n reason: 'Could not parse AI response \u2014 defaulting to follow_up',\n summary: emailData.bodyPreview || 'Email content',\n keyAction: 'Review manually',\n replyDraft: '',\n replySubject: '',\n suggestedLabel: '\ud83d\udcac Follow-up',\n shouldAutoArchive: false,\n sentimentTone: 'neutral'\n };\n}\n\nreturn {\n json: {\n // Email data\n gmailId: emailData.gmailId,\n threadId: emailData.threadId,\n from: emailData.from,\n senderName: emailData.senderName,\n senderEmail: emailData.senderEmail,\n senderDomain: emailData.senderDomain,\n to: emailData.to,\n subject: emailData.subject,\n date: emailData.date,\n bodyPreview: emailData.bodyPreview,\n hasAttachments: emailData.hasAttachments,\n isReply: emailData.isReply,\n replyTo: emailData.replyTo,\n \n // AI classification\n category: classData.category,\n priority: classData.priority || 2,\n confidence: parseFloat(classData.confidence) || 0,\n reason: classData.reason || '',\n summary: classData.summary || '',\n keyAction: classData.keyAction || '',\n replyDraft: classData.replyDraft || '',\n replySubject: classData.replySubject || `Re: ${emailData.subject}`,\n suggestedLabel: classData.suggestedLabel || '\ud83d\udcac Follow-up',\n shouldAutoArchive: classData.shouldAutoArchive === true,\n sentimentTone: classData.sentimentTone || 'neutral',\n \n // Meta\n processedAt: new Date().toISOString()\n }\n};" }, "typeVersion": 2 }, { "id": "24539ed4-1050-4e06-a2d3-3bef0ddaedb9", "name": "\ud83d\udd00 Route by Category", "type": "n8n-nodes-base.switch", "position": [ 1344, 1088 ], "parameters": { "rules": { "values": [ { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "urgent" } ] }, "renameOutput": true }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "action_required" } ] }, "renameOutput": true }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "follow_up" } ] }, "renameOutput": true }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "newsletter" } ] }, "renameOutput": true }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "automated" } ] }, "renameOutput": true }, { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.category }}", "rightValue": "spam_promo" } ] }, "renameOutput": true } ] }, "options": { "allMatchingOutputs": false } }, "typeVersion": 3.2 }, { "id": "1b2f61c6-0e8e-41ed-85b1-7ede8ddf12db", "name": "\ud83c\udff7\ufe0f Label: Urgent", "type": "n8n-nodes-base.gmail", "position": [ 1600, 800 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_URGENT" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "6698eeaa-a2fd-429e-b552-f09438535441", "name": "\ud83d\udcdd Draft Reply (Urgent)", "type": "n8n-nodes-base.gmail", "position": [ 1840, 800 ], "parameters": { "message": "={{ $json.replyDraft }}", "options": { "threadId": "={{ $json.threadId }}" }, "subject": "={{ $json.replySubject }}", "resource": "draft" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "d338bc75-a2b5-41bc-96a1-88aa96a1fc25", "name": "\ud83c\udff7\ufe0f Label: Action Required", "type": "n8n-nodes-base.gmail", "position": [ 1600, 960 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_ACTION_REQUIRED" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "1540bf40-50a9-4cea-8255-27bf0aa0cccd", "name": "\ud83d\udcdd Draft Reply (Action)", "type": "n8n-nodes-base.gmail", "position": [ 1840, 960 ], "parameters": { "message": "={{ $json.replyDraft }}", "options": { "threadId": "={{ $json.threadId }}" }, "subject": "={{ $json.replySubject }}", "resource": "draft" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "ef532b54-ad93-4805-94a4-af104ef20588", "name": "\ud83c\udff7\ufe0f Label: Follow-up", "type": "n8n-nodes-base.gmail", "position": [ 1600, 1120 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_FOLLOW_UP" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "c360cea5-623d-45eb-8ce0-c6b7c4db9deb", "name": "\ud83c\udff7\ufe0f Label: Newsletter", "type": "n8n-nodes-base.gmail", "position": [ 1600, 1248 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_NEWSLETTER" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "4304e340-abe5-4b39-b3de-c07831ed52cf", "name": "\ud83c\udff7\ufe0f Label: Automated", "type": "n8n-nodes-base.gmail", "position": [ 1600, 1408 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_AUTOMATED" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "139f1b21-d3bf-4e64-bb24-31e752bbde15", "name": "\ud83c\udff7\ufe0f Label: Spam-Promo", "type": "n8n-nodes-base.gmail", "position": [ 1600, 1600 ], "parameters": { "labelIds": [ "YOUR_LABEL_ID_SPAM_PROMO" ], "messageId": "={{ $json.gmailId }}", "operation": "addLabels" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "91a158e1-ccc9-4238-a69b-0418d60cb82d", "name": "\ud83d\udccb Prepare Log Entry", "type": "n8n-nodes-base.code", "position": [ 2080, 1088 ], "parameters": { "jsCode": "// Merge all paths back for logging\nconst item = $input.all()[0].json;\n\n// Try to get original classification data from the appropriate upstream node\nlet classificationData = {};\n\ntry {\n classificationData = $('\ud83c\udfaf Extract Classification').item.json;\n} catch (e) {\n classificationData = item;\n}\n\nreturn {\n json: {\n // For Google Sheets logging\n Date: classificationData.date || new Date().toISOString(),\n From: classificationData.from || '',\n Subject: classificationData.subject || '',\n Category: classificationData.category || '',\n Priority: classificationData.priority || '',\n Confidence: classificationData.confidence || '',\n Reason: classificationData.reason || '',\n Summary: classificationData.summary || '',\n 'Key Action': classificationData.keyAction || '',\n 'Has Reply Draft': classificationData.replyDraft ? 'Yes' : 'No',\n Sentiment: classificationData.sentimentTone || '',\n 'Auto Archive': classificationData.shouldAutoArchive ? 'Yes' : 'No',\n 'Gmail ID': classificationData.gmailId || '',\n 'Processed At': classificationData.processedAt || new Date().toISOString()\n }\n};" }, "typeVersion": 2 }, { "id": "3518b511-57c9-4d97-aa32-9b79631e8994", "name": "\ud83d\udcca Log to Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 2384, 1088 ], "parameters": { "columns": { "value": {}, "schema": [ { "id": "Date", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "From", "type": "string", "display": true, "removed": false, "required": false, "displayName": "From", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Subject", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Subject", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Category", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Category", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Priority", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Priority", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Confidence", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Confidence", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Reason", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Reason", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Summary", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Summary", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Key Action", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Key Action", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Has Reply Draft", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Has Reply Draft", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Sentiment", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Sentiment", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Auto Archive", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Auto Archive", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Gmail ID", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Gmail ID", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Processed At", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Processed At", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": 772918340, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=772918340", "cachedResultName": "log entry" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit", "cachedResultName": "Email Triage Log" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.6 }, { "id": "b39e4a70-1ccc-421f-87d6-1ac95fe53c48", "name": "Ollama Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "position": [ 560, 1328 ], "parameters": { "model": "mistral", "options": {} }, "credentials": { "ollamaApi": { "name": "" } }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "availableInMCP": false, "executionOrder": "v1" }, "versionId": "00000000-0000-0000-0000-000000000000", "connections": { "Ollama Chat Model": { "ai_languageModel": [ [ { "node": "\ud83e\udd16 AI Email Classifier", "type": "ai_languageModel", "index": 0 } ] ] }, "\ud83d\udce5 Gmail Trigger": { "main": [ [ { "node": "\ud83d\udd27 Extract Email Data", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Urgent": { "main": [ [ { "node": "\ud83d\udcdd Draft Reply (Urgent)", "type": "main", "index": 0 } ] ] }, "\ud83d\udccb Prepare Log Entry": { "main": [ [ { "node": "\ud83d\udcca Log to Sheet", "type": "main", "index": 0 } ] ] }, "\ud83d\udd00 Route by Category": { "main": [ [ { "node": "\ud83c\udff7\ufe0f Label: Urgent", "type": "main", "index": 0 } ], [ { "node": "\ud83c\udff7\ufe0f Label: Action Required", "type": "main", "index": 0 } ], [ { "node": "\ud83c\udff7\ufe0f Label: Follow-up", "type": "main", "index": 0 } ], [ { "node": "\ud83c\udff7\ufe0f Label: Newsletter", "type": "main", "index": 0 } ], [ { "node": "\ud83c\udff7\ufe0f Label: Automated", "type": "main", "index": 0 } ], [ { "node": "\ud83c\udff7\ufe0f Label: Spam-Promo", "type": "main", "index": 0 } ] ] }, "\ud83d\udd27 Extract Email Data": { "main": [ [ { "node": "\ud83e\udd16 AI Email Classifier", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Automated": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Follow-up": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83e\udd16 AI Email Classifier": { "main": [ [ { "node": "\ud83c\udfaf Extract Classification", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Newsletter": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Spam-Promo": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83d\udcdd Draft Reply (Action)": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83d\udcdd Draft Reply (Urgent)": { "main": [ [ { "node": "\ud83d\udccb Prepare Log Entry", "type": "main", "index": 0 } ] ] }, "\ud83c\udfaf Extract Classification": { "main": [ [ { "node": "\ud83d\udd00 Route by Category", "type": "main", "index": 0 } ] ] }, "\ud83c\udff7\ufe0f Label: Action Required": { "main": [ [ { "node": "\ud83d\udcdd Draft Reply (Action)", "type": "main", "index": 0 } ] ] } } }