{ "name": "Case 80 - Customer Success - Power User Advocate Finder", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1088, -208 ], "id": "5eac2119-ffd9-4f3e-9e77-e1ea61941b62", "name": "Weekly Schedule - Monday 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "buIWk2uOUzTmcLsuB", "mode": "list", "cachedResultName": "Linkedin Post Search Scraper (No Cookies) (harvestapi/linkedin-post-search)", "cachedResultUrl": "https://console.apify.com/actors/buIWk2uOUzTmcLsuB/input" }, "customBody": "{\n \"searchQueries\": [\n \"Emergent\",\n \"@Emergent\",\n \"#Emergent\"\n ],\n \"maxPosts\": 50,\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -912, -208 ], "id": "987edebc-2895-4f52-9e8b-357184f179db", "name": "Scrape LinkedIn Brand Mentions", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -736, -208 ], "id": "9b1200a8-0cb3-48ea-afb9-9c691887c706", "name": "Get Dataset Items", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Brand Advocacy Validation Expert.\n\nAnalyze LinkedIn posts to determine if they are genuine brand advocacy (customers/users praising the company).\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_brand_advocacy\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine brand advocacy):\n✅ User/customer sharing positive experience with the company\n✅ Unprompted praise or recommendation of the company\n✅ Success story using the company's platform/service\n✅ Testimonial or review content\n✅ Expressing gratitude or appreciation to the company\n✅ Sharing achievement enabled by the company\n✅ Defending the company in discussions\n✅ Recommending the company to others\n\nCriteria for \"no\" (NOT brand advocacy):\n❌ Company's own official posts (self-promotion)\n❌ Job postings mentioning the company\n❌ News articles or press releases\n❌ Complaints or negative feedback\n❌ Competitor comparisons (unless clearly favoring this brand)\n❌ Employee posts about working at the company\n❌ Sales/marketing posts from company staff\n❌ Neutral mentions without advocacy intent\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear advocacy)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require genuine customer advocacy, not just mentions\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's genuine brand advocacy:\n\nAuthor: {{ $json.author.name }}\nAuthor Info: {{ $json.author.info }}\nPost Date: {{ $json.postedAt.date }}\nPost Content: {{ $json.content }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -592, -208 ], "id": "6fdd1703-b620-4193-b5be-39cc3426d37b", "name": "AI Validation Filter", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -304, -208 ], "id": "04f25a82-8d0f-4a69-8a74-c4d9135f2992", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_brand_advocacy", "name": "is_brand_advocacy", "value": "={{ $json.is_brand_advocacy }}", "type": "string" }, { "id": "confidence", "name": "confidence", "value": "={{ $json.confidence }}", "type": "number" }, { "id": "reason", "name": "reason", "value": "={{ $json.reason }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -128, -208 ], "id": "dd7d06d9-e2e9-46ff-8be4-fc8d1d72a797", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_brand_advocacy }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 32, -208 ], "id": "42119982-3060-4898-9da9-a5b6f0ee36e2", "name": "Filter Only Brand Advocates" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Brand Advocacy Intelligence Analyst.\n\nExtract structured brand advocate information from LinkedIn posts.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"advocacy_level\": \"Evangelist|Fan|Satisfied|Neutral\",\n \"use_case_shared\": \"What problem/use case they describe (max 150 chars)\",\n \"influence_level\": \"High|Medium|Low\",\n \"testimonial_quality\": \"Excellent|Good|Fair|Poor\",\n \"case_study_potential\": \"Yes|No\",\n \"ambassador_fit\": \"Yes|No\",\n \"product_mentioned\": \"Specific product/feature if mentioned, otherwise 'General Platform'\",\n \"sentiment\": \"Positive|Neutral|Mixed\"\n}\n\nExtraction Rules:\n1. advocacy_level:\n - Evangelist = Unprompted enthusiastic praise, recommending to others\n - Fan = Positive mention, sharing success\n - Satisfied = Neutral positive mention\n - Neutral = Factual mention without emotion\n\n2. use_case_shared: Summarize what they accomplished/solved\n\n3. influence_level (based on engagement metrics in post):\n - High = 500+ engagement (likes + comments + shares)\n - Medium = 50-499 engagement\n - Low = <50 engagement\n\n4. testimonial_quality:\n - Excellent = Specific results, quotable, compelling\n - Good = Clear benefit, usable\n - Fair = Vague but positive\n - Poor = Too generic\n\n5. case_study_potential:\n - Yes = Detailed story with specific outcomes\n - No = Too brief or vague\n\n6. ambassador_fit:\n - Yes = High engagement, enthusiastic, would likely participate\n - No = Low engagement or one-off mention\n\n7. product_mentioned: Extract specific product/feature name\n\n8. sentiment: Overall tone\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract brand advocate intelligence from this LinkedIn post:\n\nAuthor: {{ $('Get Dataset Items').item.json.author.name }}\nAuthor Info: {{ $('Get Dataset Items').item.json.author.info }}\nPost Date: {{ $('Get Dataset Items').item.json.postedAt.date }}\nPost Content: {{ $('Get Dataset Items').item.json.content }}\nEngagement: {{ $('Get Dataset Items').item.json.engagement.likes }} likes, {{ $('Get Dataset Items').item.json.engagement.comments }} comments, {{ $('Get Dataset Items').item.json.engagement.shares }} shares\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 208, -208 ], "id": "5ec953cd-a883-4797-98c7-4c32b43ef6a2", "name": "AI Extract Advocate Intelligence", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 480, -208 ], "id": "207d5d10-5266-4f64-a460-c31004c151be", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "analysis_timestamp", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "advocate_name", "name": "advocate_name", "value": "={{ $('Get Dataset Items').item.json.author?.name || 'unknown' }}", "type": "string" }, { "id": "advocate_profile", "name": "advocate_profile", "value": "={{ $('Get Dataset Items').item.json.author?.linkedinUrl || '' }}", "type": "string" }, { "id": "advocate_info", "name": "advocate_info", "value": "={{ $('Get Dataset Items').item.json.author?.info || '' }}", "type": "string" }, { "id": "advocacy_level", "name": "advocacy_level", "value": "={{ $json.advocacy_level }}", "type": "string" }, { "id": "use_case", "name": "use_case_shared", "value": "={{ $json.use_case_shared }}", "type": "string" }, { "id": "influence", "name": "influence_level", "value": "={{ $json.influence_level }}", "type": "string" }, { "id": "testimonial", "name": "testimonial_quality", "value": "={{ $json.testimonial_quality }}", "type": "string" }, { "id": "case_study", "name": "case_study_potential", "value": "={{ $json.case_study_potential }}", "type": "string" }, { "id": "ambassador", "name": "ambassador_fit", "value": "={{ $json.ambassador_fit }}", "type": "string" }, { "id": "product", "name": "product_mentioned", "value": "={{ $json.product_mentioned }}", "type": "string" }, { "id": "sentiment", "name": "sentiment", "value": "={{ $json.sentiment }}", "type": "string" }, { "id": "post_content", "name": "post_content", "value": "={{ $('Get Dataset Items').item.json.content || '' }}", "type": "string" }, { "id": "post_date", "name": "post_date", "value": "={{ $('Get Dataset Items').item.json.postedAt?.date || '' }}", "type": "string" }, { "id": "post_url", "name": "post_url", "value": "={{ $('Get Dataset Items').item.json.linkedinUrl || '' }}", "type": "string" }, { "id": "likes", "name": "likes_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.likes || 0 }}", "type": "number" }, { "id": "comments", "name": "comments_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.comments || 0 }}", "type": "number" }, { "id": "shares", "name": "shares_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.shares || 0 }}", "type": "number" }, { "id": "total_engagement", "name": "engagement_total", "value": "={{ ($('Get Dataset Items').item.json.engagement?.likes || 0) + ($('Get Dataset Items').item.json.engagement?.comments || 0) + ($('Get Dataset Items').item.json.engagement?.shares || 0) }}", "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 656, -208 ], "id": "a58720e4-af08-49cf-948a-717b6e41f1c5", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1AaHPxDEKshT2h_NDEGw1nnj2HnKC_uZRgS2UWd9tDDQ", "mode": "list", "cachedResultName": "Case 80 - Customer success brand advocate log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AaHPxDEKshT2h_NDEGw1nnj2HnKC_uZRgS2UWd9tDDQ/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AaHPxDEKshT2h_NDEGw1nnj2HnKC_uZRgS2UWd9tDDQ/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Analysis_Date": "={{ $json.analysis_timestamp }}", "Advocate_Name": "={{ $json.advocate_name }}", "Advocate_Info": "={{ $json.advocate_info }}", "Advocacy_Level": "={{ $json.advocacy_level }}", "Use_Case_Shared": "={{ $json.use_case_shared }}", "Influence_Level": "={{ $json.influence_level }}", "Testimonial_Quality": "={{ $json.testimonial_quality }}", "Case_Study_Potential": "={{ $json.case_study_potential }}", "Ambassador_Fit": "={{ $json.ambassador_fit }}", "Product_Mentioned": "={{ $json.product_mentioned }}", "Sentiment": "={{ $json.sentiment }}", "Post_Date": "={{ $json.post_date }}", "Likes": "={{ $json.likes_count }}", "Comments": "={{ $json.comments_count }}", "Shares": "={{ $json.shares_count }}", "Total_Engagement": "={{ $json.engagement_total }}", "Advocate_Profile": "={{ $json.advocate_profile }}", "Post_URL": "={{ $json.post_url }}", "Post_Content": "={{ $json.post_content }}" }, "matchingColumns": [], "schema": [ { "id": "Analysis_Date", "displayName": "Analysis_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Advocate_Name", "displayName": "Advocate_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Advocate_Info", "displayName": "Advocate_Info", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Advocacy_Level", "displayName": "Advocacy_Level", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Use_Case_Shared", "displayName": "Use_Case_Shared", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Influence_Level", "displayName": "Influence_Level", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Testimonial_Quality", "displayName": "Testimonial_Quality", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Case_Study_Potential", "displayName": "Case_Study_Potential", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Ambassador_Fit", "displayName": "Ambassador_Fit", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Product_Mentioned", "displayName": "Product_Mentioned", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Sentiment", "displayName": "Sentiment", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Date", "displayName": "Post_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Likes", "displayName": "Likes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Comments", "displayName": "Comments", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Shares", "displayName": "Shares", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Total_Engagement", "displayName": "Total_Engagement", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Advocate_Profile", "displayName": "Advocate_Profile", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_URL", "displayName": "Post_URL", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Content", "displayName": "Post_Content", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 832, -208 ], "id": "61ca9445-8831-4748-8bb8-2466ee2bdf7b", "name": "Log to Google Sheet", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate all items from Google Sheets into email-ready summary\nconst allItems = $input.all();\n\n// Count by advocacy level\nconst advocacyCounts = {};\nallItems.forEach(item => {\n const level = item.json.Advocacy_Level || 'Unknown';\n advocacyCounts[level] = (advocacyCounts[level] || 0) + 1;\n});\n\n// Count by influence level\nconst influenceCounts = {};\nallItems.forEach(item => {\n const influence = item.json.Influence_Level || 'Unknown';\n influenceCounts[influence] = (influenceCounts[influence] || 0) + 1;\n});\n\n// Count excellent testimonials\nconst excellentTestimonials = allItems.filter(item => \n item.json.Testimonial_Quality === 'Excellent'\n);\n\n// Count case study potential\nconst caseStudyCandidates = allItems.filter(item => \n item.json.Case_Study_Potential === 'Yes'\n);\n\n// Count ambassador fit\nconst ambassadorCandidates = allItems.filter(item => \n item.json.Ambassador_Fit === 'Yes'\n);\n\n// Evangelists (highest priority)\nconst evangelists = allItems.filter(item => \n item.json.Advocacy_Level === 'Evangelist'\n);\n\n// Products mentioned\nconst productCounts = {};\nallItems.forEach(item => {\n const product = item.json.Product_Mentioned || 'General Platform';\n productCounts[product] = (productCounts[product] || 0) + 1;\n});\n\nconst topProducts = Object.entries(productCounts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 5);\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const levelColor = data.Advocacy_Level === 'Evangelist' ? '#28a745' : \n data.Advocacy_Level === 'Fan' ? '#17a2b8' : '#6c757d';\n \n return `\n \n ${data.Advocate_Name || 'N/A'}\n ${data.Advocacy_Level || 'N/A'}\n ${data.Influence_Level || 'N/A'}\n ${data.Testimonial_Quality || 'N/A'}\n ${data.Case_Study_Potential || 'N/A'}\n ${data.Ambassador_Fit || 'N/A'}\n View\n \n `;\n}).join('');\n\n// Return single aggregated item\nreturn {\n json: {\n week_start: new Date(Date.now() - 7*24*60*60*1000).toISOString().split('T')[0],\n week_end: new Date().toISOString().split('T')[0],\n total_advocates: allItems.length,\n advocacy_breakdown: Object.entries(advocacyCounts),\n influence_breakdown: Object.entries(influenceCounts),\n excellent_testimonials_count: excellentTestimonials.length,\n case_study_candidates_count: caseStudyCandidates.length,\n ambassador_candidates_count: ambassadorCandidates.length,\n evangelists_count: evangelists.length,\n top_products: topProducts,\n table_rows: tableRows,\n all_advocates: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1008, -208 ], "id": "7181fc45-df36-4149-930a-5b515effb69a", "name": "Aggregate Weekly Summary" }, { "parameters": { "sendTo": "customer-success@yourcompany.com", "subject": "=📊 Weekly Brand Advocate Report: {{ $json.week_start }} to {{ $json.week_end }}", "message": "=WEEKLY BRAND ADVOCATE INTELLIGENCE REPORT\n================================================\nReport Period: {{ $json.week_start }} to {{ $json.week_end }}\n\nOVERVIEW:\nTotal Brand Advocates Identified: {{ $json.total_advocates }}\nEvangelists (Highest Priority): {{ $json.evangelists_count }}\nExcellent Testimonials: {{ $json.excellent_testimonials_count }}\nCase Study Candidates: {{ $json.case_study_candidates_count }}\nAmbassador Program Candidates: {{ $json.ambassador_candidates_count }}\n\nADVOCACY LEVEL BREAKDOWN:\n{{ $json.advocacy_breakdown.map(([level, count]) => level + ': ' + count).join('\\n') }}\n\nINFLUENCE LEVEL DISTRIBUTION:\n{{ $json.influence_breakdown.map(([influence, count]) => influence + ': ' + count).join('\\n') }}\n\nTOP PRODUCTS/FEATURES MENTIONED:\n{{ $json.top_products.map(([product, count], i) => (i+1) + '. ' + product + ' (' + count + ' mentions)').join('\\n') }}\n\n🎯 PRIORITY ACTIONS:\n✅ {{ $json.evangelists_count }} evangelists to reach out for testimonials\n✅ {{ $json.case_study_candidates_count }} case study opportunities\n✅ {{ $json.ambassador_candidates_count }} ambassador program prospects\n\nFull advocate details in Google Sheets.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1184, -208 ], "id": "a7e74e04-62bd-445d-8ff9-d29015064a29", "name": "Send Weekly Summary Email", "webhookId": "c9f6837f-7cca-45fa-a56b-95a7a9a99823", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Brand Mentions", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Brand Mentions": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "AI Validation Filter", "type": "main", "index": 0 } ] ] }, "AI Validation Filter": { "main": [ [ { "node": "Parse AI Validation", "type": "main", "index": 0 } ] ] }, "Parse AI Validation": { "main": [ [ { "node": "Edit Fields - Validation", "type": "main", "index": 0 } ] ] }, "Edit Fields - Validation": { "main": [ [ { "node": "Filter Only Brand Advocates", "type": "main", "index": 0 } ] ] }, "Filter Only Brand Advocates": { "main": [ [ { "node": "AI Extract Advocate Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract Advocate Intelligence": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Log to Google Sheet", "type": "main", "index": 0 } ] ] }, "Log to Google Sheet": { "main": [ [ { "node": "Aggregate Weekly Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Weekly Summary": { "main": [ [ { "node": "Send Weekly Summary Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "a933d844-a883-40ee-95dc-6fa186cbac0e", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "x1e7oWkg24HmoqW0", "tags": [] }