{
  "workflow": {
    "id": 9836,
    "name": "Analyze customer feedback with Azure GPT-4, Jira tasks & Outlook reports from Monday.com",
    "views": 79,
    "recentViews": 0,
    "totalViews": 79,
    "createdAt": "2025-10-17T12:37:57.500Z",
    "description": "## Description\nAutomate customer feedback analysis and action planning by integrating Monday.com, Azure OpenAI, Jira, Google Sheets, and Outlook. This workflow classifies customer feedback with AI, calculates business impact, creates Jira tasks for high-priority issues, and sends weekly performance summaries — turning raw feedback into actionable insights. 💬📈🤖\n\n## What This Template Does\n- Step 1: Triggers automatically every Monday at 9:00 AM to fetch new customer feedback from Monday.com. ⏰\n- Step 2: Normalizes and structures data into consistent fields (title, account, ARR, NPS, etc.). 🧩\n- Step 3: Uses Azure OpenAI GPT-4 to classify sentiment and identify feedback themes (e.g., “UI Design,” “App Crash”). 🧠\n- Step 4: Calculates a business impact score based on ARR, NPS delta, and sentiment weightings. ⚙️\n- Step 5: Creates Jira tasks for high-impact feedback items for product or engineering follow-up. 🎫\n- Step 6: Logs all feedback and impact scores into Google Sheets for analytics dashboards. 📊\n- Step 7: Generates a professional HTML report summarizing metrics, wins, and risks, then emails it via Outlook. 📧\n- Step 8: Sends automated error-alert emails if any node fails during execution. 🚨\n\n## Key Benefits\n✅ Converts qualitative feedback into measurable business intelligence\n ✅ Identifies critical customer issues automatically using AI\n ✅ Reduces manual effort in triaging and prioritizing feedback\n ✅ Creates real-time visibility for product and CX teams\n ✅ Provides weekly executive summaries and performance insights\n\n## Features\n- Weekly scheduled trigger (every Monday 9 AM)\n- Monday.com data fetching and field normalization\n- Azure OpenAI GPT-4-based sentiment and theme detection\n- Impact scoring combining ARR + NPS + sentiment weighting\n- Jira issue creation with context-rich descriptions\n- Google Sheets logging for dashboards and historical records\n- Outlook HTML email reports for leadership visibility\n- Automated Gmail error-notification system\n\n## Requirements\n- Monday.com API credentials with board access\n- Azure OpenAI GPT-4 API credentials\n- Jira Software Cloud API credentials\n- Google Sheets OAuth2 credentials with edit permissions\n- Microsoft Outlook OAuth2 credentials for email delivery\n- Gmail OAuth2 credentials for error alerting\n\n## Target Audience\n- Product and CX teams analyzing customer sentiment\n- SaaS businesses tracking post-implementation feedback\n- Customer-success and support operations teams\n- Product managers prioritizing improvements based on impact\n- Leadership teams monitoring customer health and satisfaction\n\n## Step-by-Step Setup Instructions\n1️⃣ Connect Monday.com API and update your boardId and groupId.\n 2️⃣ Configure Azure OpenAI GPT-4 credentials for the AI classifier.\n 3️⃣ Set Jira project ID and issue type for ticket creation.\n 4️⃣ Link Google Sheets and replace YOUR_SHEET_ID.\n 5️⃣ Connect Outlook OAuth2 and add recipient email for reports.\n 6️⃣ Configure Gmail OAuth2 for error alerts.\n 7️⃣ Adjust the cron expression (0 9 * * 1) to fit your timezone.\n 8️⃣ Test the workflow end-to-end with sample data.\n 9️⃣ Enable automation for seamless weekly feedback intelligence. ✅",
    "workflow": {
      "id": "lgj2XcZly50vMqKU",
      "meta": {
        "instanceId": "8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177",
        "templateCredsSetupCompleted": true
      },
      "name": "AI-Driven Feedback Classification and Reporting from Monday.com and Jira to Outlook",
      "tags": [],
      "nodes": [
        {
          "id": "74675c08-9d89-4a2d-a36d-59c167bb42e1",
          "name": "Workflow Overview",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2448,
            -528
          ],
          "parameters": {
            "color": 4,
            "width": 450,
            "height": 661,
            "content": "## 📊 Customer Feedback Intelligence Workflow\n\n**Purpose:** Automatically process customer feedback from Monday.com, analyze with AI, create Jira tasks, and send weekly reports.\n\n**Key Features:**\n- Fetches feedback from Monday.com boards\n- AI-powered sentiment analysis and theme classification\n- Automatic Jira issue creation for product team\n- Google Sheets logging for analytics\n- Weekly HTML email reports via Outlook\n- Error notification system\n\n**Data Flow:**\n1. Fetch feedback from Monday.com\n2. Normalize and structure data\n3. AI analyzes sentiment & categorizes themes\n4. Calculate business impact scores\n5. Create Jira tasks for high-priority items\n6. Log to Google Sheets\n7. Generate and send weekly summary report\n\n**Schedule:** Runs every Monday at 9:00 AM\n\n⚠️ **Setup Required:** Configure credentials for Monday.com, Azure OpenAI, Jira, Google Sheets, and Outlook before running."
          },
          "typeVersion": 1
        },
        {
          "id": "47e27d91-6cc5-44cd-9374-f4b0c10188b1",
          "name": "Setup: Data Source",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1792,
            32
          ],
          "parameters": {
            "width": 344,
            "height": 259,
            "content": "## Step 1: Fetch Feedback Data\n\nRetrieves all customer feedback items from Monday.com board.\n\n**Setup:**\n- Replace `boardId` with your Monday.com board ID\n- Configure Monday.com API credentials\n- Ensure `groupId` matches your board structure"
          },
          "typeVersion": 1
        },
        {
          "id": "553ce617-8fcc-4f94-a7b1-b5d76ebdd215",
          "name": "Fetch Monday.com Feedback",
          "type": "n8n-nodes-base.mondayCom",
          "position": [
            -1648,
            -160
          ],
          "parameters": {
            "boardId": "YOUR_BOARD_ID",
            "groupId": "topics",
            "resource": "boardItem",
            "operation": "getAll",
            "returnAll": true
          },
          "credentials": {
            "mondayComApi": {
              "id": "credential-id",
              "name": "mondayComApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "c9de6225-3282-49ca-9db4-8bb10fd80aab",
          "name": "Setup: Data Normalization",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1552,
            -496
          ],
          "parameters": {
            "width": 344,
            "height": 312,
            "content": "## Step 2: Normalize Data\n\nExtracts and standardizes feedback fields into consistent format.\n\n**Fields Mapped:**\n- Title (feedback text)\n- Account Name\n- ARR (Annual Recurring Revenue)\n- NPS Before/After scores\n- Feedback Type\n- Contact Email\n- Submission Date"
          },
          "typeVersion": 1
        },
        {
          "id": "73233e74-bcb5-47d7-87d1-4848d10e0268",
          "name": "Normalize Feedback Fields",
          "type": "n8n-nodes-base.set",
          "position": [
            -1424,
            -160
          ],
          "parameters": {
            "fields": {
              "values": [
                {
                  "name": "Title",
                  "stringValue": "={{ $json.name }}"
                },
                {
                  "name": "Account Name",
                  "stringValue": "={{ $json.column_values[1].text }}"
                },
                {
                  "name": "ARR(USD)",
                  "stringValue": "={{ $json.column_values[2].text }}"
                },
                {
                  "name": "NPS Before",
                  "stringValue": "={{ $json.column_values[3].text }}"
                },
                {
                  "name": "NPS After",
                  "stringValue": "={{ $json.column_values[4].text }}"
                },
                {
                  "name": "FeedBack Type",
                  "stringValue": "={{ $json.column_values[5].text }}"
                },
                {
                  "name": "Contact Email",
                  "stringValue": "={{ $json.column_values[6].text }}"
                },
                {
                  "name": "Submitted On",
                  "stringValue": "={{ $json.column_values[7].text }}"
                }
              ]
            },
            "include": "selected",
            "options": {}
          },
          "typeVersion": 3
        },
        {
          "id": "c101c93b-0b00-4734-8247-27f90ef3297f",
          "name": "Setup: AI Analysis",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1120,
            -656
          ],
          "parameters": {
            "width": 344,
            "height": 355,
            "content": "## Step 3: AI Theme Classification\n\nUses Azure OpenAI to analyze feedback and extract:\n- Theme category (e.g., \"app-crash\", \"ui-design\")\n- Human-readable label\n- Sentiment (positive/neutral/negative)\n\n**Setup:**\n- Configure Azure OpenAI credentials\n- Model: GPT-4o\n- Returns structured JSON output"
          },
          "typeVersion": 1
        },
        {
          "id": "cbd79e63-6ef3-4de3-8e93-5d3825865ac0",
          "name": "Merge AI Results with Feedback",
          "type": "n8n-nodes-base.merge",
          "position": [
            -848,
            -160
          ],
          "parameters": {
            "mode": "combine",
            "options": {},
            "combinationMode": "mergeByPosition"
          },
          "typeVersion": 2.1
        },
        {
          "id": "7fa77a1a-b1e4-4c0b-803f-41688c7662ea",
          "name": "Setup: Jira Integration",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -32,
            -544
          ],
          "parameters": {
            "width": 343.81788385280146,
            "height": 308.6359741062274,
            "content": "## Step 4: Create Jira Issues\n\nAutomatically creates Jira tasks with:\n- Theme as title\n- Feedback text in description\n- ARR impact and NPS data\n- Sentiment analysis\n- Impact score\n\n**Setup:**\n- Replace `project` ID with your Jira project\n- Configure Jira credentials\n- Customize issue type if needed"
          },
          "typeVersion": 1
        },
        {
          "id": "22662502-fdce-4ab1-85e5-32196d570fda",
          "name": "Create Jira Task for Feedback",
          "type": "n8n-nodes-base.jira",
          "position": [
            -176,
            -352
          ],
          "parameters": {
            "project": {
              "__rl": true,
              "mode": "list",
              "value": "YOUR_PROJECT_ID",
              "cachedResultName": "Your Project Name"
            },
            "summary": "=Theme: {{$json[\"theme_label\"]}} ({{$json[\"theme_key\"]}})",
            "issueType": {
              "__rl": true,
              "mode": "list",
              "value": "10006",
              "cachedResultName": "Task"
            },
            "additionalFields": {
              "description": "=💬 Feedback: {{$json[\"feedback\"]}}\n\n💰 ARR Impact: ${{$json[\"arr_usd\"]}}\n😐 Sentiment: {{$json[\"sentiment\"]}}\n📊 NPS Before → {{$json[\"nps_before\"]}} | After → {{$json[\"nps_after\"]}}\n⚡ Impact Score: {{$json[\"impact_score\"]}}\n\nLabels: feedback, {{$json[\"theme_key\"]}}\n"
            }
          },
          "credentials": {
            "jiraSoftwareCloudApi": {
              "id": "credential-id",
              "name": "jiraSoftwareCloudApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "d0084ad1-e8ad-4802-b560-74f997c365cb",
          "name": "Setup: Data Logging",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            0,
            -208
          ],
          "parameters": {
            "width": 343.81788385280146,
            "height": 288.6362189310366,
            "content": "## Step 5: Log to Google Sheets\n\nAppends processed feedback to Google Sheets for:\n- Long-term analytics\n- Dashboard integration\n- Historical tracking\n\n**Setup:**\n- Replace `documentId` with your Sheet ID\n- Configure Google Sheets OAuth2\n- Ensure sheet has matching columns"
          },
          "typeVersion": 1
        },
        {
          "id": "f95ddd6f-e581-4a8a-8321-74b50c183ebf",
          "name": "Log to Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            -176,
            -160
          ],
          "parameters": {
            "columns": {
              "mappingMode": "autoMapInputData",
              "matchingColumns": [
                "theme_key"
              ]
            },
            "options": {},
            "operation": "appendOrUpdate",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultName": "Customer Feedback"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "YOUR_SHEET_ID",
              "cachedResultName": "Your Feedback Sheet"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.4
        },
        {
          "id": "2abb077d-0419-4693-a3bf-782d9f0e92b1",
          "name": "Setup: Error Alerts",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2240,
            304
          ],
          "parameters": {
            "width": 344,
            "height": 369,
            "content": "## Error Handling\n\nCatches workflow failures and sends email alerts.\n\n**Alert includes:**\n- Workflow name\n- Execution ID\n- Failed node name\n- Error message\n- Timestamp\n\n**Setup:**\n- Set environment variable `ERROR_ALERT_EMAIL`\n- Configure Gmail OAuth2 credentials"
          },
          "typeVersion": 1
        },
        {
          "id": "1dc8d357-370c-4db4-bf62-c0fc90a03300",
          "name": "On Workflow Error",
          "type": "n8n-nodes-base.errorTrigger",
          "position": [
            -1872,
            464
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "022da409-d000-44e8-85a1-21bce519482d",
          "name": "Send Error Alert Email",
          "type": "n8n-nodes-base.gmail",
          "position": [
            -1648,
            464
          ],
          "webhookId": "f19b5216-ea1f-4483-acbd-3d46469a6d5f",
          "parameters": {
            "sendTo": "={{ $env.ERROR_ALERT_EMAIL }}",
            "message": "=Workflow Execution Failed\n\nWorkflow: {{ $workflow.name }}\nExecution ID: {{ $execution.id }}\nFailed Node: {{ $json.node?.name || 'Unknown' }}\nError: {{ $json.error?.message || 'No error message' }}\nTimestamp: {{ $now.toISO() }}",
            "options": {},
            "subject": "=n8n Workflow Error: {{ $workflow.name }}"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "a037a368-1d36-4771-993f-7770ce89ba17",
          "name": "Weekly Schedule Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            -1872,
            -160
          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "field": "cronExpression",
                  "expression": "0 9 * * 1"
                }
              ]
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "4018a5de-0860-49f3-8db0-d97bf7bf88c8",
          "name": "Setup: Schedule",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1984,
            -448
          ],
          "parameters": {
            "width": 343.8178838528013,
            "height": 280,
            "content": "## Trigger: Weekly Schedule\n\nAutomatically runs every Monday at 9:00 AM.\n\n**Cron Expression:** `0 9 * * 1`\n- Minute: 0\n- Hour: 9 (9 AM)\n- Day of Month: * (any)\n- Month: * (any)\n- Day of Week: 1 (Monday)\n\nAdjust the schedule in node settings if needed."
          },
          "typeVersion": 1
        },
        {
          "id": "640ed7b7-7acf-4a89-9f7f-da1a0747e0c6",
          "name": "Structured JSON Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            -976,
            -16
          ],
          "parameters": {
            "jsonSchemaExample": "{\n  \"theme_key\": \"\",\n  \"theme_label\": \"\",\n  \"sentiment\": \"\"\n}"
          },
          "typeVersion": 1.3
        },
        {
          "id": "b2997445-aefe-4bfa-ad21-7754b2c6d498",
          "name": "AI Theme Classifier",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            -1200,
            -284
          ],
          "parameters": {
            "text": "=Analyze the following customer feedback record and return structured JSON.\n\nFeedback data:\n{{ JSON.stringify($json) }}\n\nReturn JSON in this exact schema:\n{\n  \"theme_key\": \"short-keyword-style category (lowercase, kebab-case)\",\n  \"theme_label\": \"concise readable label (2-5 words)\",\n  \"sentiment\": \"positive | neutral | negative\"\n}\n\nExamples:\nInput: \"App crashes when submitting reports.\"\nOutput: {\"theme_key\":\"app-crash\",\"theme_label\":\"App Stability\",\"sentiment\":\"negative\"}\n\nInput: \"Love the new dashboard design!\"\nOutput: {\"theme_key\":\"ui-design\",\"theme_label\":\"Dashboard Design\",\"sentiment\":\"positive\"}\n\nNow analyze this feedback and respond only with JSON.",
            "options": {
              "systemMessage": "=You are an intelligent product feedback classifier. \nYour job is to analyze each feedback text and extract structured insights.\n\nFollow these strict rules:\n- Output must be valid JSON only (no markdown, no explanations).\n- Identify the underlying theme or category of the feedback.\n- Create a short, human-readable label for that theme.\n- Detect overall sentiment (positive, neutral, negative).\n- Do not repeat the full feedback text in output."
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 1.7
        },
        {
          "id": "ae2b52c2-9be1-4d8e-9b72-6dcff9b948f4",
          "name": "Conversation Memory Buffer",
          "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
          "position": [
            -1104,
            -80
          ],
          "parameters": {
            "sessionKey": "=\"feedback_classification_\" + $now.format('yyyy-MM-dd')",
            "sessionIdType": "customKey",
            "contextWindowLength": 7
          },
          "typeVersion": 1.3
        },
        {
          "id": "78abb932-8eb0-407f-b059-ed2285778f71",
          "name": "Setup: Data Structuring",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -848,
            32
          ],
          "parameters": {
            "width": 343.81788385280146,
            "height": 270.78228621783586,
            "content": "## Step 3b: Structure AI Output\n\nConverts AI classification results into clean format:\n- Extracts ARR and NPS values as numbers\n- Combines theme data from AI\n- Preserves original feedback text\n- Prepares data for impact scoring"
          },
          "typeVersion": 1
        },
        {
          "id": "f90ec364-b556-47f3-8250-e93938a4455b",
          "name": "Structure AI Classification Output",
          "type": "n8n-nodes-base.set",
          "position": [
            -624,
            -160
          ],
          "parameters": {
            "mode": "raw",
            "options": {},
            "jsonOutput": "={\n  \"arr_usd\": {{ Number($json['ARR(USD)']) }},\n  \"nps_before\": {{ Number($json['NPS Before']) }},\n  \"nps_after\": {{ Number($json['NPS After']) }},\n  \"theme_key\": \"{{ $json.output.theme_key }}\",\n  \"theme_label\": \"{{ $json.output.theme_label }}\",\n  \"sentiment\": \"{{ $json.output.sentiment }}\",\n  \"feedback\": \"{{ $json['Title'] }}\"\n}"
          },
          "typeVersion": 3.4
        },
        {
          "id": "9395692c-3e78-4266-b45f-4ce4eba5739d",
          "name": "Setup: Impact Scoring",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -672,
            -432
          ],
          "parameters": {
            "width": 343.81788385280146,
            "height": 250.78228621783586,
            "content": "## Step 3c: Calculate Impact Score\n\nCalculates business impact using weighted formula:\n- 50% weight: ARR value (normalized)\n- 30% weight: NPS stability\n- 20% weight: Sentiment severity\n\nHigher scores = higher priority for product team."
          },
          "typeVersion": 1
        },
        {
          "id": "ceceb3a5-ba7a-4b90-a4d8-248ac18abe4f",
          "name": "Calculate Business Impact Score",
          "type": "n8n-nodes-base.set",
          "position": [
            -400,
            -160
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "impact-score-calc",
                  "name": "impact_score",
                  "type": "number",
                  "value": "={{ (0.5 * ($json.arr_usd / 50000)) + (0.3 * ((10 - Math.abs($json.nps_after - $json.nps_before)) / 10)) + (0.2 * ($json.sentiment === 'negative' ? 1 : $json.sentiment === 'neutral' ? 0.5 : 0.2)) }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "be4e3188-2f09-4490-ac95-c32a372b2ec5",
          "name": "Setup: Email Reports",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -80,
            192
          ],
          "parameters": {
            "width": 343.81788385280146,
            "height": 310.78228621783586,
            "content": "## Step 6: Weekly Email Report\n\nGenerates professional HTML email with:\n- Executive summary\n- Key metrics dashboard\n- Critical issues (high ARR or NPS drops)\n- Customer wins\n- Complete feedback table\n\n**Setup:**\n- Configure Outlook OAuth2\n- Replace recipient email address\n- Runs automatically every Monday"
          },
          "typeVersion": 1
        },
        {
          "id": "08498f99-f113-4b02-8716-0091a04f7b2b",
          "name": "Generate HTML Report",
          "type": "n8n-nodes-base.code",
          "position": [
            -176,
            32
          ],
          "parameters": {
            "jsCode": "// Weekly Feedback Report Formatter\n// Generates Outlook-compatible HTML email\n\nconst feedbackData = $input.all();\n\n// Calculate summary metrics\nlet totalARR = 0;\nlet positiveCount = 0;\nlet negativeCount = 0;\nlet neutralCount = 0;\nlet npsImproved = 0;\nlet npsDeclined = 0;\nlet totalNPSChange = 0;\n\nconst criticalIssues = [];\nconst wins = [];\n\nfeedbackData.forEach(item => {\n  const arr = parseFloat(item.json.arr_usd) || 0;\n  const npsBefore = parseFloat(item.json.nps_before) || 0;\n  const npsAfter = parseFloat(item.json.nps_after) || 0;\n  const npsChange = npsAfter - npsBefore;\n  \n  totalARR += arr;\n  totalNPSChange += npsChange;\n  \n  // Count sentiments\n  if (item.json.sentiment === 'positive') positiveCount++;\n  else if (item.json.sentiment === 'negative') negativeCount++;\n  else neutralCount++;\n  \n  // Track NPS changes\n  if (npsChange > 0) npsImproved++;\n  else if (npsChange < 0) npsDeclined++;\n  \n  // Identify critical issues\n  if (item.json.sentiment === 'negative' && (arr > 20000 || npsChange <= -2)) {\n    criticalIssues.push({ ...item.json, arr, npsChange });\n  }\n  \n  // Identify wins\n  if (item.json.sentiment === 'positive' && npsChange > 0) {\n    wins.push({ ...item.json, arr, npsChange });\n  }\n});\n\ncriticalIssues.sort((a, b) => b.arr - a.arr);\nwins.sort((a, b) => b.npsChange - a.npsChange);\n\nconst today = new Date();\nconst weekStart = new Date(today);\nweekStart.setDate(today.getDate() - 7);\n\nconst formatDate = (date) => {\n  return date.toLocaleDateString('en-US', { month: 'short', day: 'numeric', year: 'numeric' });\n};\n\nconst subject = `Customer Feedback Weekly Report - ${formatDate(weekStart)} to ${formatDate(today)}`;\n\nconst htmlBody = `<!DOCTYPE html>\n<html>\n<head>\n  <meta charset=\"UTF-8\">\n  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n</head>\n<body style=\"margin: 0; padding: 0; background-color: #f4f4f4; font-family: Arial, sans-serif;\">\n  <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #f4f4f4;\">\n    <tr>\n      <td style=\"padding: 20px 0;\">\n        <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"600\" style=\"margin: 0 auto; background-color: #ffffff; border-radius: 8px;\">\n          <tr>\n            <td style=\"padding: 30px;\">\n              <h1 style=\"margin: 0 0 10px 0; font-size: 24px; color: #2c3e50; border-bottom: 3px solid #3498db; padding-bottom: 10px;\">📊 Customer Feedback Weekly Report</h1>\n              <p style=\"margin: 0; color: #7f8c8d; font-size: 14px;\">Report Period: <strong>${formatDate(weekStart)}</strong> to <strong>${formatDate(today)}</strong></p>\n            </td>\n          </tr>\n          <tr>\n            <td style=\"padding: 0 30px 20px 30px;\">\n              <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #e8f4f8; border-radius: 6px;\">\n                <tr>\n                  <td style=\"padding: 20px;\">\n                    <h2 style=\"margin: 0 0 12px 0; font-size: 18px; color: #34495e;\">📈 Executive Summary</h2>\n                    <p style=\"margin: 0; color: #555555; font-size: 14px; line-height: 1.6;\">\n                      This week we collected <strong>${feedbackData.length} feedback responses</strong> from customers representing \n                      <strong>$${totalARR.toLocaleString()}</strong> in total ARR. Overall NPS movement shows \n                      <strong>${npsImproved} accounts improved</strong> and <strong>${npsDeclined} declined</strong>.\n                    </p>\n                  </td>\n                </tr>\n              </table>\n            </td>\n          </tr>\n          <tr>\n            <td style=\"padding: 0 30px 20px 30px;\">\n              <h2 style=\"margin: 0 0 15px 0; font-size: 18px; color: #34495e;\">🎯 Key Metrics</h2>\n              <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\">\n                <tr>\n                  <td width=\"33%\" style=\"padding: 5px;\">\n                    <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #667eea; border-radius: 6px;\">\n                      <tr>\n                        <td style=\"padding: 20px; text-align: center;\">\n                          <div style=\"font-size: 11px; color: #ffffff; text-transform: uppercase; margin-bottom: 5px;\">Total Feedback</div>\n                          <div style=\"font-size: 32px; font-weight: bold; color: #ffffff;\">${feedbackData.length}</div>\n                        </td>\n                      </tr>\n                    </table>\n                  </td>\n                  <td width=\"33%\" style=\"padding: 5px;\">\n                    <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #2ecc71; border-radius: 6px;\">\n                      <tr>\n                        <td style=\"padding: 20px; text-align: center;\">\n                          <div style=\"font-size: 11px; color: #ffffff; text-transform: uppercase; margin-bottom: 5px;\">Positive</div>\n                          <div style=\"font-size: 32px; font-weight: bold; color: #ffffff;\">${positiveCount}</div>\n                        </td>\n                      </tr>\n                    </table>\n                  </td>\n                  <td width=\"33%\" style=\"padding: 5px;\">\n                    <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #e74c3c; border-radius: 6px;\">\n                      <tr>\n                        <td style=\"padding: 20px; text-align: center;\">\n                          <div style=\"font-size: 11px; color: #ffffff; text-transform: uppercase; margin-bottom: 5px;\">Negative</div>\n                          <div style=\"font-size: 32px; font-weight: bold; color: #ffffff;\">${negativeCount}</div>\n                        </td>\n                      </tr>\n                    </table>\n                  </td>\n                </tr>\n              </table>\n            </td>\n          </tr>\n          ${criticalIssues.length > 0 ? `\n          <tr>\n            <td style=\"padding: 0 30px 20px 30px;\">\n              <h2 style=\"margin: 0 0 10px 0; font-size: 18px; color: #34495e;\">🚨 Critical Issues</h2>\n              ${criticalIssues.slice(0, 5).map(issue => `\n                <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #fee; border-left: 4px solid #e74c3c; border-radius: 4px; margin-bottom: 10px;\">\n                  <tr>\n                    <td style=\"padding: 15px;\">\n                      <strong style=\"color: #2c3e50;\">${issue.theme_label}</strong>\n                      <span style=\"background-color: #e74c3c; color: #fff; padding: 2px 6px; border-radius: 3px; font-size: 10px; margin-left: 8px;\">CRITICAL</span>\n                      <br>\n                      <span style=\"font-size: 12px; color: #666;\">ARR: ${issue.arr.toLocaleString()} | NPS: ${issue.nps_before} → ${issue.nps_after}</span>\n                      <p style=\"margin: 8px 0 0 0; color: #555; font-style: italic; font-size: 13px;\">${issue.feedback}</p>\n                    </td>\n                  </tr>\n                </table>\n              `).join('')}\n            </td>\n          </tr>\n          ` : ''}\n          ${wins.length > 0 ? `\n          <tr>\n            <td style=\"padding: 0 30px 20px 30px;\">\n              <h2 style=\"margin: 0 0 10px 0; font-size: 18px; color: #34495e;\">🎉 Customer Wins</h2>\n              ${wins.slice(0, 5).map(win => `\n                <table role=\"presentation\" cellspacing=\"0\" cellpadding=\"0\" border=\"0\" width=\"100%\" style=\"background-color: #efe; border-left: 4px solid #2ecc71; border-radius: 4px; margin-bottom: 10px;\">\n                  <tr>\n                    <td style=\"padding: 15px;\">\n                      <strong style=\"color: #2c3e50;\">${win.theme_label}</strong>\n                      <span style=\"background-color: #2ecc71; color: #fff; padding: 2px 6px; border-radius: 3px; font-size: 10px; margin-left: 8px;\">WIN</span>\n                      <br>\n                      <span style=\"font-size: 12px; color: #666;\">ARR: ${win.arr.toLocaleString()} | NPS: ${win.nps_before} → ${win.nps_after}</span>\n                      <p style=\"margin: 8px 0 0 0; color: #555; font-style: italic; font-size: 13px;\">${win.feedback}</p>\n                    </td>\n                  </tr>\n                </table>\n              `).join('')}\n            </td>\n          </tr>\n          ` : ''}\n          <tr>\n            <td style=\"padding: 20px 30px; border-top: 1px solid #ddd;\">\n              <p style=\"margin: 0; text-align: center; color: #7f8c8d; font-size: 12px;\">\n                Automated by n8n | Generated on ${formatDate(today)}\n              </p>\n            </td>\n          </tr>\n        </table>\n      </td>\n    </tr>\n  </table>\n</body>\n</html>`;\n\nreturn [{\n  json: {\n    subject: subject,\n    body: htmlBody,\n    summary: {\n      total_feedback: feedbackData.length,\n      total_arr: totalARR,\n      positive_count: positiveCount,\n      negative_count: negativeCount,\n      neutral_count: neutralCount,\n      nps_improved: npsImproved,\n      nps_declined: npsDeclined,\n      critical_issues_count: criticalIssues.length,\n      wins_count: wins.length\n    }\n  }\n}];"
          },
          "typeVersion": 2
        },
        {
          "id": "9856c766-0c69-4720-835d-a485927fbb69",
          "name": "Send a message",
          "type": "n8n-nodes-base.microsoftOutlook",
          "position": [
            48,
            32
          ],
          "webhookId": "bac58a25-de50-4bca-a6cc-5d35012c67cb",
          "parameters": {
            "subject": "={{ $json.subject }}",
            "bodyContent": "={{ $json.body }}",
            "toRecipients": "user@example.com",
            "additionalFields": {
              "bodyContentType": "html"
            }
          },
          "credentials": {
            "microsoftOutlookOAuth2Api": {
              "id": "credential-id",
              "name": "microsoftOutlookOAuth2Api Credential"
            }
          },
          "typeVersion": 2
        },
        {
          "id": "836e0820-15a8-4938-a4ff-d59fd0c93050",
          "name": "Azure OpenAI Chat Model1",
          "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
          "position": [
            -1248,
            32
          ],
          "parameters": {
            "model": "gpt-4o",
            "options": {}
          },
          "credentials": {
            "azureOpenAiApi": {
              "id": "credential-id",
              "name": "azureOpenAiApi Credential"
            }
          },
          "typeVersion": 1
        }
      ],
      "active": true,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "c7cc5d75-cfd8-430e-b300-69f53c5881b3",
      "connections": {
        "On Workflow Error": {
          "main": [
            [
              {
                "node": "Send Error Alert Email",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "AI Theme Classifier": {
          "main": [
            [
              {
                "node": "Merge AI Results with Feedback",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Generate HTML Report": {
          "main": [
            [
              {
                "node": "Send a message",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Weekly Schedule Trigger": {
          "main": [
            [
              {
                "node": "Fetch Monday.com Feedback",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Azure OpenAI Chat Model1": {
          "ai_languageModel": [
            [
              {
                "node": "AI Theme Classifier",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Monday.com Feedback": {
          "main": [
            [
              {
                "node": "Normalize Feedback Fields",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Normalize Feedback Fields": {
          "main": [
            [
              {
                "node": "AI Theme Classifier",
                "type": "main",
                "index": 0
              },
              {
                "node": "Merge AI Results with Feedback",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "Conversation Memory Buffer": {
          "ai_memory": [
            [
              {
                "node": "AI Theme Classifier",
                "type": "ai_memory",
                "index": 0
              }
            ]
          ]
        },
        "Structured JSON Output Parser": {
          "ai_outputParser": [
            [
              {
                "node": "AI Theme Classifier",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Merge AI Results with Feedback": {
          "main": [
            [
              {
                "node": "Structure AI Classification Output",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Calculate Business Impact Score": {
          "main": [
            [
              {
                "node": "Create Jira Task for Feedback",
                "type": "main",
                "index": 0
              },
              {
                "node": "Log to Google Sheets",
                "type": "main",
                "index": 0
              },
              {
                "node": "Generate HTML Report",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Structure AI Classification Output": {
          "main": [
            [
              {
                "node": "Calculate Business Impact Score",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 1,
    "workflowInfo": {
      "nodeCount": 27,
      "nodeTypes": {
        "n8n-nodes-base.set": {
          "count": 3
        },
        "n8n-nodes-base.code": {
          "count": 1
        },
        "n8n-nodes-base.jira": {
          "count": 1
        },
        "n8n-nodes-base.gmail": {
          "count": 1
        },
        "n8n-nodes-base.merge": {
          "count": 1
        },
        "n8n-nodes-base.mondayCom": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 11
        },
        "n8n-nodes-base.errorTrigger": {
          "count": 1
        },
        "n8n-nodes-base.googleSheets": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.agent": {
          "count": 1
        },
        "n8n-nodes-base.scheduleTrigger": {
          "count": 1
        },
        "n8n-nodes-base.microsoftOutlook": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.memoryBufferWindow": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.outputParserStructured": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Rahul Joshi",
      "username": "rahul08",
      "bio": "Rahul Joshi is a seasoned technology leader specializing in the n8n automation tool and AI-driven workflow automation. With deep expertise in building open-source workflow automation and self-hosted automation platforms, he helps organizations eliminate manual processes through intelligent n8n ai agent automation solutions.\n\n",
      "verified": true,
      "links": [
        "https://www.linkedin.com/in/callrahul/"
      ],
      "avatar": "https://gravatar.com/avatar/b6cf57822463143589b36ada06fbf6cb1509223a740fae3160b28f1ce41ccc12?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 12,
        "icon": "fa:bug",
        "name": "n8n-nodes-base.errorTrigger",
        "codex": {
          "data": {
            "details": "In n8n, when a workflow execution fails, it can start another workflow. This second workflow can be any arbitrary workflow on your n8n instance. Use the Error Trigger node as your Trigger in the Error workflow.",
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/creating-error-workflows-in-n8n/",
                  "icon": "🌪",
                  "label": "Creating Error Workflows in n8n"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.errortrigger/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Other Trigger Nodes"
              ]
            }
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "Error Trigger",
          "color": "#0000FF"
        },
        "iconData": {
          "icon": "bug",
          "type": "icon"
        },
        "displayName": "Error Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 18,
        "icon": "file:googleSheets.svg",
        "name": "n8n-nodes-base.googleSheets",
        "codex": {
          "data": {
            "alias": [
              "CSV",
              "Sheet",
              "Spreadsheet",
              "GS"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/",
                  "icon": "❤️",
                  "label": "Love at first sight: Ricardo’s n8n journey"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/",
                  "icon": "⏲",
                  "label": "Creating triggers for n8n workflows using polling"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/",
                  "icon": "📈",
                  "label": "Migrating Community Metrics to Orbit using n8n"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/",
                  "icon": "🍔",
                  "label": "How Honest Burgers Use Automation to Save $100k per year"
                },
                {
                  "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/",
                  "icon": "💻",
                  "label": "How a digital strategist uses n8n for online marketing"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "🙌",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Data & Storage",
              "Productivity"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\",\"output\"]",
        "defaults": {
          "name": "Google Sheets"
        },
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        },
        "displayName": "Monday.com",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 4,
            "name": "Productivity"
          }
        ]
      },
      {
        "id": 356,
        "icon": "file:gmail.svg",
        "name": "n8n-nodes-base.gmail",
        "codex": {
          "data": {
            "alias": [
              "email",
              "human",
              "form",
              "wait",
              "hitl",
              "approval"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
                  "icon": "💪",
                  "label": "Using Automation to Boost Productivity in the Workplace"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Gmail"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Gmail",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 433,
        "icon": "file:outlook.svg",
        "name": "n8n-nodes-base.microsoftOutlook",
        "codex": {
          "data": {
            "alias": [
              "email",
              "human",
              "form",
              "wait",
              "hitl",
              "approval"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.microsoftoutlook/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/microsoft/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Microsoft Outlook"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiBmaWxsPSIjZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiIHN0cm9rZT0iIzAwMCIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIiB2aWV3Qm94PSIwIDAgODEgODEiPjx1c2UgeGxpbms6aHJlZj0iI2EiIHg9Ii41IiB5PSIuNSIvPjxzeW1ib2wgaWQ9ImEiIG92ZXJmbG93PSJ2aXNpYmxlIj48cGF0aCBmaWxsPSIjMjM3MmJhIiBzdHJva2U9Im5vbmUiIGQ9Ik03Ny45IDE5LjJINDYuODZWMEwwIDguMjMyVjcxLjk4TDQ2Ljg2IDgwVjYxLjg0N0g3Ny45YzEuMjY2IDAgMi4xLTEuMDU1IDIuMS0yLjFWMjEuMzJjMC0xLjI2Ni0uODQ0LTIuMS0yLjEtMi4xek0yMS45NTIgNTQuNDZjLTE1LjQtMS4wNTUtMTQuNzc2LTI5LjEzLjQyMi0yOS45NzQgMTYuNjc1LS44NDQgMTYuMjUzIDMxLjAzLS40MjIgMjkuOTc0bTU1LjUxNSA0LjY0NEg0Ni44NlYzNS4wNGw5LjUgOS4wNzdjLjQyMi40MjIuODQ0LjYzMyAxLjQ3Ny42MzNzMS4wNTUtLjIgMS40NzgtLjYzM0w3Ny40NjcgMjcuMjN6bTAtMzUuNDYyLTE5LjYzIDE4LjE1M0w0Ni44NiAzMS40NXYtOS43aDMwLjM5NnYxLjloLjJ6bS01NS4wOTIgNi41NDNjLTguMjMyLjQyMi04LjQ0MyAxOC4zNjQtLjIgMTguNTc1IDguNjU0LjQyMiA4LjY1NC0xOC45OTcuMi0xOC41NzUiLz48L3N5bWJvbD48L3N2Zz4="
        },
        "displayName": "Microsoft Outlook",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1163,
        "icon": "fa:database",
        "name": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorybufferwindow/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Memory"
              ],
              "Memory": [
                "For beginners"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Simple Memory"
        },
        "iconData": {
          "icon": "database",
          "type": "icon"
        },
        "displayName": "Simple Memory",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1253,
        "icon": "file:azure.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatazureopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Azure OpenAI Chat Model"
        },
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}