{ "workflow": { "id": 10330, "name": "Automate API FAQ quality testing with GPT-4o-mini, Google Sheets & Slack alerts", "views": 136, "recentViews": 0, "totalViews": 136, "createdAt": "2025-10-30T11:20:00.196Z", "description": "## Description:\nKeep your API documentation accurate and reliable with this n8n automation template.\n The workflow automatically tests your FAQ content related to authentication and rate limits, evaluating each answer using Azure OpenAI GPT-4o-mini for completeness, edge-case coverage, and technical clarity. It logs all results to Google Sheets, scores FAQs from 0–10, and sends Slack alerts when low-quality answers are detected.\nIdeal for API teams, developer relations managers, and technical writers who want to maintain high-quality documentation with zero manual review effort.\n\n## ✅ What This Template Does (Step-by-Step)\n\n▶️ Manual Trigger or On-Demand Run\n Start the evaluation anytime you update your FAQs — perfect for regression testing before documentation releases.\n\n📖 Fetch FAQ Q&A from Google Sheets\n Reads FAQ questions and answers from your designated test sheet (columns A:B). Each Q&A pair becomes a test case for AI evaluation.\n\n🤖 AI Evaluation via GPT-4o-mini\n Uses Azure OpenAI GPT-4o-mini to evaluate how well each FAQ covers critical aspects of API authentication and rate limiting.\n The AI provides a numeric score (0–10) and a short explanation.\n\n🔍 Parse & Format AI Results\n Extracts structured JSON data (Question, Score, Explanation, Timestamp) and prepares it for reporting and filtering.\n\n💾 Save Evaluation to Google Sheets\n Appends all results to a Results Sheet (A:D) — creating a running history of FAQ quality audits.\n\n⚠️ Filter for Low-Scoring FAQs\n Identifies any FAQ with a score below 7, flagging them as needing review or rewrite.\n\n🔔 Send Slack Alerts for Weak Entries\n Posts an alert message in your chosen Slack channel, including:\nThe question text\nScore received\nAI’s explanation\nLink to the full results sheet\nThis ensures your documentation team can quickly address weak or incomplete FAQ answers.\n\n## 🧠 Key Features\n 🤖 AI-powered FAQ quality scoring (0–10)\n 📊 Automated tracking of doc health over time\n 📥 Seamless Google Sheets integration for results storage\n ⚙️ Slack notifications for underperforming FAQs\n 🧩 Ideal for continuous documentation improvement\n\n## 💼 Use Cases\n 📘 Validate FAQ accuracy before API documentation updates\n ⚡ Auto-test new FAQ sets during content refresh cycles\n 🧠 Ensure API rate limit and auth topics cover all edge cases\n 📢 Alert documentation owners about weak answers instantly\n\n## 📦 Required Integrations\n- Google Sheets API – for reading and storing FAQs and test results\n- Azure OpenAI (GPT-4o-mini) – for evaluating FAQ coverage and clarity\n- Slack API – for sending quality alerts and notifications\n\n## 🎯 Why Use This Template?\n ✅ Ensures API FAQ accuracy and completeness automatically\n ✅ Replaces tedious manual content reviews with AI scoring\n ✅ Builds an ongoing record of documentation improvements\n ✅ Keeps technical FAQs consistent, relevant, and developer-friendly\n", "workflow": { "id": "9F7rxHKt3weSqZaD", "meta": { "instanceId": "8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177", "templateCredsSetupCompleted": true }, "name": "API Rate Limit & Auth FAQ Test", "tags": [ { "id": "DWhGhh4ifGbElCsl", "name": "Quality Assurance", "createdAt": "2025-11-03T11:37:00.082Z", "updatedAt": "2025-11-03T11:37:00.082Z" }, { "id": "OaQsaj1GDsV2DDag", "name": "AI", "createdAt": "2025-11-03T11:37:00.112Z", "updatedAt": "2025-11-03T11:37:00.112Z" }, { "id": "u5sfzrVZ11a9nsuB", "name": "Documentation", "createdAt": "2025-11-03T11:37:00.152Z", "updatedAt": "2025-11-03T11:37:00.152Z" } ], "nodes": [ { "id": "35aa638c-cbaa-4125-877d-68560d49de34", "name": "When clicking ‘Execute workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -944, 3312 ], "parameters": {}, "typeVersion": 1 }, { "id": "86fc4b54-b1b5-4de7-b98d-22abd8f4ba25", "name": "Section: Data Input", "type": "n8n-nodes-base.stickyNote", "position": [ -848, 3088 ], "parameters": { "color": 7, "width": 580, "content": "## 📥 Data Input\n\nFetches FAQ data from Google Sheets and validates it before processing." }, "typeVersion": 1 }, { "id": "dc53c187-0fc4-45e0-a415-13acc67a41f4", "name": "Section: AI Evaluation", "type": "n8n-nodes-base.stickyNote", "position": [ -128, 3088 ], "parameters": { "color": 7, "width": 400, "height": 144, "content": "## 🤖 AI Evaluation\n\nScores each FAQ using GPT-4o-mini based on completeness, clarity, technical accuracy, and actionability." }, "typeVersion": 1 }, { "id": "861caa0a-4607-4a31-9682-a193652fb9b1", "name": "Section: Storage", "type": "n8n-nodes-base.stickyNote", "position": [ 480, 3088 ], "parameters": { "color": 7, "width": 480, "content": "## 💾 Results Storage\n\nSaves detailed scores to Results sheet and aggregated metrics to History sheet for trend tracking." }, "typeVersion": 1 }, { "id": "6e69317c-4cdb-4871-b2e4-0f7dc8022fe5", "name": "Section: Alerts", "type": "n8n-nodes-base.stickyNote", "position": [ 1152, 3040 ], "parameters": { "color": 7, "width": 540, "content": "## 📢 Notifications\n\nSends Slack alerts when critical or warning-level issues are detected, then emails a completion summary." }, "typeVersion": 1 }, { "id": "073ad6bd-87e2-409d-ab43-2546907c1aef", "name": "📋 Workflow Overview1", "type": "n8n-nodes-base.stickyNote", "position": [ -1536, 3056 ], "parameters": { "width": 420, "height": 552, "content": "## How it works\n\nThis workflow automatically evaluates FAQ quality using AI (GPT-4o-mini), scores each entry (0-10), and tracks improvements over time. It reads FAQs from Google Sheets, gets AI feedback on completeness and clarity, then saves detailed results and sends Slack alerts for low-scoring content.\n\n**Key features:** Historical tracking, severity-based alerts (🔴 Critical, ⚠️ Warning, ✅ Good), batch processing, and comprehensive error handling.\n\n## Setup steps\n\n1. **Connect accounts:** Add Google Sheets OAuth and Azure OpenAI credentials\n2. **Configure Sheet ID:** Update the Configuration node with your Google Sheet ID (found in the sheet URL)\n3. **Set up Slack:** Add Slack webhook and update channel ID in Configuration node (optional)\n4. **Prepare your sheet:** Create a sheet named \"TestSet\" with Question (Column A) and Answer (Column B)\n5. **Run:** Click \"Execute workflow\" to start the quality check" }, "typeVersion": 1 }, { "id": "aa25afd0-e903-4352-a809-a995941dbee0", "name": "⚙️ Configuration1", "type": "n8n-nodes-base.set", "position": [ -736, 3312 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "config_sheet_id", "name": "sheet_id", "type": "string", "value": "1ABC_REPLACE_WITH_YOUR_SHEET_ID_xyz123" }, { "id": "config_threshold_critical", "name": "threshold_critical", "type": "number", "value": 5 }, { "id": "config_threshold_warning", "name": "threshold_warning", "type": "number", "value": 7 }, { "id": "config_threshold_good", "name": "threshold_good", "type": "number", "value": 8 }, { "id": "config_slack_channel", "name": "slack_channel_id", "type": "string", "value": "C09GNB90TED" }, { "id": "config_batch_size", "name": "batch_size", "type": "number", "value": 10 }, { "id": "config_test_sheet", "name": "test_sheet_name", "type": "string", "value": "TestSet" }, { "id": "config_results_sheet", "name": "results_sheet_name", "type": "string", "value": "Results" }, { "id": "config_history_sheet", "name": "history_sheet_name", "type": "string", "value": "History" }, { "id": "run_id", "name": "run_id", "type": "string", "value": "={{ $now.format('yyyyMMdd-HHmmss') }}" } ] } }, "typeVersion": 3.3 }, { "id": "653f3c13-0665-48ad-93a3-ed24e860518f", "name": "📖 Fetch FAQs1", "type": "n8n-nodes-base.googleSheets", "position": [ -512, 3312 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "name", "value": "={{ $json.test_sheet_name }}" }, "documentId": { "__rl": true, "mode": "id", "value": "={{ $json.sheet_id }}" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.4 }, { "id": "e27c8068-5afc-4cd7-8204-6ba2a43e5b48", "name": "🔍 Validate & Clean Data1", "type": "n8n-nodes-base.code", "position": [ -288, 3312 ], "parameters": { "jsCode": "// Validate and clean FAQ data\nconst items = $input.all();\nconst config = items[0].json;\nconst cleanedItems = [];\n\nfor (let i = 0; i < items.length; i++) {\n const item = items[i];\n \n // Skip if it's the config item or header row\n if (item.json.sheet_id || i === 0) continue;\n \n // Get question and answer (handle different column name formats)\n const question = item.json.Question || item.json.question || item.json.A || '';\n const answer = item.json.Answer || item.json.answer || item.json.B || '';\n \n // Skip empty rows\n if (!question || !answer || question.trim() === '' || answer.trim() === '') {\n continue;\n }\n \n // Create cleaned item\n cleanedItems.push({\n json: {\n question: question.trim(),\n answer: answer.trim(),\n row_number: i,\n run_id: config.run_id,\n sheet_id: config.sheet_id,\n batch_size: config.batch_size,\n threshold_critical: config.threshold_critical,\n threshold_warning: config.threshold_warning,\n threshold_good: config.threshold_good\n }\n });\n}\n\nif (cleanedItems.length === 0) {\n throw new Error('No valid FAQ entries found in the sheet. Please check your data format.');\n}\n\nconsole.log(`Validated ${cleanedItems.length} FAQ entries for processing`);\nreturn cleanedItems;" }, "typeVersion": 2 }, { "id": "5db219e2-af99-4386-b3f9-c53a79cc9cf6", "name": "🤖 AI Evaluator1", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -64, 3312 ], "parameters": { "text": "=You are an expert technical documentation reviewer specializing in API documentation, authentication systems, and rate limiting policies.\n\n**Task:** Evaluate the quality and completeness of this FAQ entry.\n\n**Question:** {{ $json.question }}\n\n**Answer:** {{ $json.answer }}\n\n**Evaluation Criteria:**\n1. **Completeness (0-3 points)**: Does it address edge cases and scenarios?\n2. **Clarity (0-3 points)**: Is the explanation clear and unambiguous?\n3. **Technical Accuracy (0-2 points)**: Are technical details correct?\n4. **Actionability (0-2 points)**: Can users act on this information?\n\n**Output Requirements:**\nProvide ONLY valid JSON with this exact structure:\n{\n \"score\": ,\n \"explanation\": \"\",\n \"strengths\": \"\",\n \"improvements\": \"\"\n}\n\n**Important:** Return ONLY the JSON object, no additional text.", "options": { "systemMessage": "You are a technical documentation quality analyst. Provide objective, constructive evaluations in valid JSON format only." } }, "typeVersion": 1.2 }, { "id": "9bc66b99-cb86-4c3e-abc4-fa6fa8685e29", "name": "Azure OpenAI1", "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi", "position": [ 16, 3536 ], "parameters": { "model": "gpt-4o-mini", "options": { "maxTokens": 500, "temperature": 0.3 } }, "credentials": { "azureOpenAiApi": { "id": "credential-id", "name": "azureOpenAiApi Credential" } }, "typeVersion": 1 }, { "id": "e2a58c64-1552-43ae-a7df-2bf665ea52a1", "name": "📊 Parse & Enrich Results1", "type": "n8n-nodes-base.code", "position": [ 304, 3312 ], "parameters": { "jsCode": "// Parse and enrich AI evaluation results with error handling\nconst items = $input.all();\nconst enrichedItems = [];\n\nfor (const item of items) {\n try {\n // Get the AI output\n const aiOutput = item.json.output || '{}';\n \n // Try to parse JSON from the output\n let evaluation;\n try {\n // Handle case where output might have markdown code blocks\n const jsonMatch = aiOutput.match(/\\{[\\s\\S]*\\}/);\n const jsonString = jsonMatch ? jsonMatch[0] : aiOutput;\n evaluation = JSON.parse(jsonString);\n } catch (parseError) {\n console.error('Failed to parse AI response:', aiOutput);\n evaluation = {\n score: 0,\n explanation: 'AI response parsing failed',\n strengths: 'N/A',\n improvements: 'Error in evaluation - needs manual review'\n };\n }\n \n // Determine severity level\n let severity = 'good';\n let severity_emoji = '✅';\n \n if (evaluation.score < item.json.threshold_critical) {\n severity = 'critical';\n severity_emoji = '🔴';\n } else if (evaluation.score < item.json.threshold_warning) {\n severity = 'warning';\n severity_emoji = '⚠️';\n } else if (evaluation.score < item.json.threshold_good) {\n severity = 'acceptable';\n severity_emoji = '🟡';\n }\n \n // Create enriched item\n enrichedItems.push({\n json: {\n // Original data\n question: item.json.question,\n answer: item.json.answer,\n row_number: item.json.row_number,\n run_id: item.json.run_id,\n \n // Evaluation results\n score: evaluation.score || 0,\n explanation: evaluation.explanation || 'No explanation provided',\n strengths: evaluation.strengths || 'N/A',\n improvements: evaluation.improvements || 'N/A',\n \n // Metadata\n severity: severity,\n severity_emoji: severity_emoji,\n timestamp: new Date().toISOString(),\n evaluated_at: new Date().toLocaleString('en-US', { \n timeZone: 'UTC',\n dateStyle: 'medium',\n timeStyle: 'short'\n }),\n \n // For filtering\n needs_attention: evaluation.score < item.json.threshold_warning,\n \n // Config passthrough\n sheet_id: item.json.sheet_id\n }\n });\n } catch (error) {\n console.error('Error processing item:', error);\n // Add error item to results\n enrichedItems.push({\n json: {\n question: item.json.question || 'Unknown',\n answer: item.json.answer || 'Unknown',\n score: 0,\n explanation: `Processing error: ${error.message}`,\n severity: 'error',\n severity_emoji: '❌',\n timestamp: new Date().toISOString(),\n needs_attention: true,\n sheet_id: item.json.sheet_id,\n run_id: item.json.run_id\n }\n });\n }\n}\n\nconsole.log(`Processed ${enrichedItems.length} evaluations`);\nreturn enrichedItems;" }, "typeVersion": 2 }, { "id": "ad83a4b8-4cdc-40a3-b5de-49fb85ac205c", "name": "💾 Save Detailed Results1", "type": "n8n-nodes-base.googleSheets", "position": [ 528, 3312 ], "parameters": { "columns": { "value": { "Score": "={{ $json.score }}", "Run ID": "={{ $json.run_id }}", "Question": "={{ $json.question }}", "Severity": "={{ $json.severity_emoji }} {{ $json.severity.toUpperCase() }}", "Strengths": "={{ $json.strengths }}", "Timestamp": "={{ $json.evaluated_at }}", "Explanation": "={{ $json.explanation }}", "Improvements": "={{ $json.improvements }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "name", "value": "Results" }, "documentId": { "__rl": true, "mode": "id", "value": "={{ $json.sheet_id }}" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.4 }, { "id": "853e8bba-0d8e-413a-b6fb-959e8ea1896c", "name": "📈 Generate Summary Report1", "type": "n8n-nodes-base.code", "position": [ 752, 3312 ], "parameters": { "jsCode": "// Generate comprehensive summary report\nconst items = $input.all();\n\nif (items.length === 0) {\n return [{\n json: {\n error: 'No items to summarize'\n }\n }];\n}\n\n// Calculate statistics\nconst scores = items.map(item => item.json.score);\nconst totalFaqs = scores.length;\nconst avgScore = (scores.reduce((a, b) => a + b, 0) / totalFaqs).toFixed(2);\nconst maxScore = Math.max(...scores);\nconst minScore = Math.min(...scores);\n\n// Count by severity\nconst critical = items.filter(item => item.json.severity === 'critical').length;\nconst warning = items.filter(item => item.json.severity === 'warning').length;\nconst acceptable = items.filter(item => item.json.severity === 'acceptable').length;\nconst good = items.filter(item => item.json.severity === 'good').length;\n\n// Calculate pass rate (score >= 7)\nconst passCount = scores.filter(s => s >= 7).length;\nconst passRate = ((passCount / totalFaqs) * 100).toFixed(1);\n\n// Get config from first item\nconst config = items[0].json;\n\n// Find top 3 worst performing FAQs\nconst worstFaqs = items\n .sort((a, b) => a.json.score - b.json.score)\n .slice(0, 3)\n .map(item => ({\n question: item.json.question.substring(0, 100),\n score: item.json.score,\n improvements: item.json.improvements\n }));\n\n// Create summary\nconst summary = {\n json: {\n // Summary stats\n run_id: config.run_id,\n timestamp: new Date().toISOString(),\n total_faqs: totalFaqs,\n average_score: parseFloat(avgScore),\n max_score: maxScore,\n min_score: minScore,\n pass_rate: parseFloat(passRate),\n \n // Severity breakdown\n critical_count: critical,\n warning_count: warning,\n acceptable_count: acceptable,\n good_count: good,\n \n // Status\n overall_status: critical > 0 ? 'CRITICAL' : warning > 0 ? 'NEEDS_ATTENTION' : 'HEALTHY',\n \n // Worst performers\n worst_performers: JSON.stringify(worstFaqs),\n \n // For display\n summary_text: `📊 FAQ Quality Report\\n\\n` +\n `📈 Overall Score: ${avgScore}/10 (${passRate}% pass rate)\\n` +\n `📝 Total FAQs Evaluated: ${totalFaqs}\\n\\n` +\n `🎯 Severity Breakdown:\\n` +\n ` 🔴 Critical: ${critical}\\n` +\n ` ⚠️ Warning: ${warning}\\n` +\n ` 🟡 Acceptable: ${acceptable}\\n` +\n ` ✅ Good: ${good}\\n\\n` +\n `📉 Score Range: ${minScore} - ${maxScore}`,\n \n // For alerts\n needs_alert: critical > 0 || warning > 0,\n sheet_id: config.sheet_id,\n \n // Pass through all items for next node\n all_results: items\n }\n};\n\nconsole.log('Summary generated:', summary.json.summary_text);\nreturn [summary];" }, "typeVersion": 2 }, { "id": "0cf75d4f-f2e1-47ca-91f1-4ddffd9ff987", "name": "📊 Save to History1", "type": "n8n-nodes-base.googleSheets", "position": [ 976, 3312 ], "parameters": { "columns": { "value": { "Good": "={{ $json.good_count }}", "Run ID": "={{ $json.run_id }}", "Status": "={{ $json.overall_status }}", "Warning": "={{ $json.warning_count }}", "Critical": "={{ $json.critical_count }}", "Pass Rate": "={{ $json.pass_rate }}%", "Timestamp": "={{ $json.timestamp }}", "Acceptable": "={{ $json.acceptable_count }}", "Total FAQs": "={{ $json.total_faqs }}", "Average Score": "={{ $json.average_score }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "name", "value": "History" }, "documentId": { "__rl": true, "mode": "id", "value": "={{ $json.sheet_id }}" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.4 }, { "id": "5390e894-108c-462c-8b4e-85fa481a631c", "name": "⚠️ Check if Alerts Needed1", "type": "n8n-nodes-base.if", "position": [ 1200, 3312 ], "parameters": { "options": {}, "conditions": { "boolean": [ { "value1": "={{ $json.needs_alert }}", "value2": true } ] } }, "typeVersion": 2 }, { "id": "24cdee69-2017-47ba-961f-198a6bea352f", "name": "💬 Send Slack Alert1", "type": "n8n-nodes-base.slack", "position": [ 1424, 3232 ], "webhookId": "32545389-7dfc-490c-b4e4-933298983f3e", "parameters": { "text": "=🚨 *FAQ Quality Alert* 🚨\n\n{{ $json.summary_text }}\n\n---\n\n⚠️ *Action Required:*\n{{ $json.critical_count > 0 ? '🔴 ' + $json.critical_count + ' CRITICAL issues need immediate attention\\n' : '' }}{{ $json.warning_count > 0 ? '⚠️ ' + $json.warning_count + ' warnings should be reviewed\\n' : '' }}\n📋 View full details: https://docs.google.com/spreadsheets/d/{{ $json.sheet_id }}/edit#gid=0\n\n*Run ID:* `{{ $json.run_id }}`", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "C09GNB90TED" }, "otherOptions": {} }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.1 }, { "id": "4e661beb-0009-4de3-8388-fb7221b9afad", "name": "✅ Completion Summary1", "type": "n8n-nodes-base.set", "position": [ 1632, 3408 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "complete_message", "name": "completion_message", "type": "string", "value": "=✅ FAQ Quality Check Complete!\n\nRun ID: {{ $json.run_id }}\nTotal FAQs Evaluated: {{ $json.total_faqs }}\nAverage Score: {{ $json.average_score }}/10\nPass Rate: {{ $json.pass_rate }}%\n\nResults saved to Google Sheets.\n{{ $json.needs_alert ? 'Alerts sent to team.' : 'No alerts needed - all FAQs meeting quality standards!' }}" }, { "id": "results_url", "name": "results_url", "type": "string", "value": "=https://docs.google.com/spreadsheets/d/{{ $json.sheet_id }}/edit" } ] } }, "typeVersion": 3.3 }, { "id": "e93ce33f-4bbe-476b-82f3-e122987bae3a", "name": "Send a message1", "type": "n8n-nodes-base.gmail", "position": [ 1872, 3312 ], "webhookId": "0e92bde1-6732-420d-a95e-94378cfee529", "parameters": { "sendTo": "info@example.com", "message": "={{ $json.text }}", "options": {}, "subject": "={{ $json.text }}", "emailType": "text" }, "credentials": { "gmailOAuth2": { "id": "credential-id", "name": "gmailOAuth2 Credential" } }, "typeVersion": 2.1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "3fb46229-1e78-4bb1-9e72-90cfba38bf71", "connections": { "Azure OpenAI1": { "ai_languageModel": [ [ { "node": "🤖 AI Evaluator1", "type": "ai_languageModel", "index": 0 } ] ] }, "📖 Fetch FAQs1": { "main": [ [ { "node": "🔍 Validate & Clean Data1", "type": "main", "index": 0 } ] ] }, "🤖 AI Evaluator1": { "main": [ [ { "node": "📊 Parse & Enrich Results1", "type": "main", "index": 0 } ] ] }, "⚙️ Configuration1": { "main": [ [ { "node": "📖 Fetch FAQs1", "type": "main", "index": 0 } ] ] }, "📊 Save to History1": { "main": [ [ { "node": "⚠️ Check if Alerts Needed1", "type": "main", "index": 0 } ] ] }, "💬 Send Slack Alert1": { "main": [ [ { "node": "✅ Completion Summary1", "type": "main", "index": 0 } ] ] }, "✅ Completion Summary1": { "main": [ [ { "node": "Send a message1", "type": "main", "index": 0 } ] ] }, "💾 Save Detailed Results1": { "main": [ [ { "node": "📈 Generate Summary Report1", "type": "main", "index": 0 } ] ] }, "🔍 Validate & Clean Data1": { "main": [ [ { "node": "🤖 AI Evaluator1", "type": "main", "index": 0 } ] ] }, "📊 Parse & Enrich Results1": { "main": [ [ { "node": "💾 Save Detailed Results1", "type": "main", "index": 0 } ] ] }, "📈 Generate Summary Report1": { "main": [ [ { "node": "📊 Save to History1", "type": "main", "index": 0 } ] ] }, "⚠️ Check if Alerts Needed1": { "main": [ [ { "node": "💬 Send Slack Alert1", "type": "main", "index": 0 }, { "node": "✅ Completion Summary1", "type": "main", "index": 0 } ], [ { "node": "✅ Completion Summary1", "type": "main", "index": 0 } ] ] }, "When clicking ‘Execute workflow’": { "main": [ [ { "node": "⚙️ Configuration1", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 1, "workflowInfo": { "nodeCount": 19, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 2 }, "n8n-nodes-base.code": { "count": 3 }, "n8n-nodes-base.gmail": { "count": 1 }, "n8n-nodes-base.slack": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 5 }, "n8n-nodes-base.googleSheets": { "count": 3 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi": { "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. 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