{ "name": "AI Email Summarizer with ntfy Notifications", "nodes": [ { "parameters": { "postProcessAction": "nothing", "options": {} }, "id": "217c9efd-cf35-40c0-a4f4-73a64156a95f", "name": "Listen for emails via IMAP", "type": "n8n-nodes-base.emailReadImap", "typeVersion": 2, "position": [ 0, 0 ], "credentials": { "imap": { "id": "TuCredencialIMAP", "name": "Mail Account IMAP" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "5de54ce4-077e-4468-9ddf-eae6b11eefdd", "leftValue": "={{ ($json.subject || '').trim() }}", "rightValue": "Contact from My App", "operator": { "type": "string", "operation": "contains" } } ], "combinator": "and" }, "options": {} }, "id": "252f0790-4225-497f-893c-068b549b0bf3", "name": "Filter by subject", "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 288, 0 ] }, { "parameters": { "jsCode": "const subject = String($json.subject || '').trim();\n\nconst from =\n $json.from ||\n $json.sender ||\n $json.envelope?.from?.[0]?.address ||\n 'Unknown sender';\n\nconst rawBody =\n $json.textPlain ||\n $json.text ||\n $json.textHtml ||\n $json.html ||\n '';\n\nconst cleanBody = String(rawBody)\n .replace(//gi, ' ')\n .replace(//gi, ' ')\n .replace(/<[^>]+>/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n\nconst bodyForAi = cleanBody || '(no email body)';\n\nconst aiPrompt = `\nAnalyse the following email and extract the key information.\n\nEmail details:\n- Sender: ${from}\n- Subject: ${subject}\n- Body: ${bodyForAi}\n\nReturn ONLY a valid JSON object with this exact structure. This JSON will be processed automatically by another system:\n{\n \"category\": \"Bug | Support | Billing | Commercial | Inquiry | Other\",\n \"priority\": \"High | Medium | Low\",\n \"language\": \"ISO 639-1 code of the detected language, e.g. es, en, fr\",\n \"summary\": \"Clear summary of the email in a maximum of 180 characters\",\n \"action\": \"Recommended action for the recipient in a maximum of 80 characters\"\n}\n\nRules:\n- Do not invent information.\n- If the email body is empty, state that in the summary.\n- Write the summary and action in the same language as the email.\n- High priority should be reserved for urgent issues, blocking errors, payment problems, access issues, or anything that prevents the user from using the service.\n`.trim();\n\nreturn [\n {\n json: {\n ...$json,\n supportEmail: {\n from,\n subject,\n cleanBody: bodyForAi,\n },\n aiPrompt,\n },\n },\n];" }, "id": "52e5c8de-8024-43ba-a26e-bcd19eea9b2c", "name": "Prepare AI input", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 560, 0 ] }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o mini" }, "responses": { "values": [ { "role": "system", "content": "You are an assistant that analyses emails and extracts structured information in JSON format. Always return only valid JSON, no markdown, no explanations, and no additional text." }, { "role": "user", "content": "={{ $json.aiPrompt }}" } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.3, "position": [ 800, 0 ], "id": "2fe88dc8-0f91-4a74-887d-2077b7f25679", "name": "Analyse email with AI", "credentials": { "openAiApi": { "id": "TuCredencialOpenAI", "name": "OpenAI account" } } }, { "parameters": { "jsCode": "function extractText(value) {\n if (value === null || value === undefined) return '';\n\n if (typeof value === 'string') return value;\n\n if (Array.isArray(value)) {\n return value.map(extractText).filter(Boolean).join('\\n');\n }\n\n if (typeof value === 'object') {\n if (typeof value.output_text === 'string') return value.output_text;\n if (typeof value.output === 'string') return value.output;\n if (typeof value.text === 'string') return value.text;\n if (typeof value.content === 'string') return value.content;\n if (typeof value.message?.content === 'string') return value.message.content;\n if (typeof value.choices?.[0]?.message?.content === 'string') return value.choices[0].message.content;\n\n // OpenAI Responses API style\n if (Array.isArray(value.output)) {\n const texts = [];\n for (const out of value.output) {\n if (Array.isArray(out.content)) {\n for (const c of out.content) {\n if (typeof c.text === 'string') texts.push(c.text);\n }\n }\n }\n if (texts.length) return texts.join('\\n');\n }\n }\n\n return '';\n}\n\nfunction parseAiJson(raw) {\n let text = String(raw || '').trim();\n\n // Remove fences like ```json ... ```\n text = text\n .replace(/^```json\\s*/i, '')\n .replace(/^```\\s*/i, '')\n .replace(/```$/i, '')\n .trim();\n\n // If the model added surrounding text, extract the first JSON object\n const match = text.match(/\\{[\\s\\S]*\\}/);\n if (match) text = match[0];\n\n return JSON.parse(text);\n}\n\nconst rawAiOutput = extractText($json);\n\nlet analysis;\ntry {\n analysis = parseAiJson(rawAiOutput);\n} catch (error) {\n analysis = {\n category: 'Other',\n priority: 'Medium',\n summary: rawAiOutput\n ? String(rawAiOutput).replace(/\\s+/g, ' ').slice(0, 180)\n : 'Could not generate email summary.',\n action: 'Review manually',\n };\n}\n\nconst category = String(analysis.category || 'Other').trim();\nconst priority = String(analysis.priority || 'Medium').trim();\nconst summary = String(analysis.summary || 'No summary available').replace(/\\s+/g, ' ').trim();\nconst action = String(analysis.action || 'Review manually').replace(/\\s+/g, ' ').trim();\n\nconst categoryIcons = {\n 'Bug': '๐Ÿž',\n 'Support': '๐Ÿ› ๏ธ',\n 'Billing': '๐Ÿ’ณ',\n 'Commercial': '๐Ÿ’ผ',\n 'Inquiry': 'โ“',\n 'Other': '๐Ÿ“ฉ',\n};\n\nconst priorityIcons = {\n 'High': '๐Ÿ”ด',\n 'Medium': '๐ŸŸก',\n 'Low': '๐ŸŸข',\n};\n\nconst categoryIcon = categoryIcons[category] || '๐Ÿ“ฉ';\nconst priorityIcon = priorityIcons[priority] || '๐ŸŸก';\n\nconst ntfyTitle = `${categoryIcon} ${category} ยท ${priorityIcon} ${priority}`;\n\nconst ntfyMessage =\n `๐Ÿ“ฉ New email\\n` +\n `${summary}\\n\\n` +\n `Action: ${action}`;\n\nconst ntfyTags = ['email', 'inbox'];\nif (priority === 'High') ntfyTags.push('warning');\nif (category === 'Bug') ntfyTags.push('bug');\n\nreturn [\n {\n json: {\n aiAnalysis: analysis,\n ntfyTitle,\n ntfyMessage,\n ntfyTags: ntfyTags.join(','),\n },\n },\n];" }, "id": "f851a39c-4be0-4074-bcd7-fc1cc994d39a", "name": "Prepare PUSH notification", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1040, 0 ] }, { "parameters": { "requestMethod": "POST", "url": "https://ntfy.sh/your-channel-here", "options": {}, "queryParametersUi": { "parameter": [ { "name": "title", "value": "={{ $json.ntfyTitle }}" }, { "name": "message", "value": "={{ $json.ntfyMessage }}" }, { "name": "tags", "value": "={{ $json.ntfyTags }}" } ] } }, "id": "fe8194db-c4aa-4c9d-85d2-2db8481bb2fd", "name": "Send PUSH via ntfy", "type": "n8n-nodes-base.httpRequest", "typeVersion": 2, "position": [ 1280, 0 ] } ], "pinData": {}, "connections": { "Listen for emails via IMAP": { "main": [ [ { "node": "Filter by subject", "type": "main", "index": 0 } ] ] }, "Filter by subject": { "main": [ [ { "node": "Prepare AI input", "type": "main", "index": 0 } ] ] }, "Prepare AI input": { "main": [ [ { "node": "Analyse email with AI", "type": "main", "index": 0 } ] ] }, "Analyse email with AI": { "main": [ [ { "node": "Prepare PUSH notification", "type": "main", "index": 0 } ] ] }, "Prepare PUSH notification": { "main": [ [ { "node": "Send PUSH via ntfy", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1", "binaryMode": "separate" }, "versionId": "53042196-d0cf-4686-bd94-f4ef5f0c7d51", "meta": { "templateCredsSetupCompleted": false, "instanceId": "0000000000000000000000000000000000000000000000000000000000000000" }, "nodeGroups": [], "id": "ExampleWorkflowEmailAiNtfy", "tags": [] }