{ "workflow": { "id": 11864, "name": "Gpt-4.1 mini-powered learning management automation", "views": 138, "recentViews": 2, "totalViews": 138, "createdAt": "2025-12-16T13:29:16.625Z", "description": "## How It Works\nAutomates daily learner engagement monitoring, progress analysis, and personalized feedback delivery for training programs. Target audience: learning and development teams, corporate training managers, and online education platforms scaling instructor workload. Problem solved: manual progress tracking consumes instructor time; AI analysis identifies struggling learners early for intervention. Workflow runs daily checks on learner activity, retrieves course data and progress, analyzes engagement with OpenAI models, evaluates quiz scores, generates performance summaries, sends progress reports to learners, emails instructors on at-risk cases, generates learning paths, and triggers manager notifications.\n\n## Setup Steps\n1. Configure daily schedule trigger. \n2. Connect learning management system APIs (LMS). \n3. Set OpenAI keys for progress analysis. \n4. Enable Gmail for multi-recipient notifications. \n5. Map learner risk thresholds and escalation rules.\n\n## Prerequisites\nLMS platform credentials, OpenAI API key, learner database, email service for notifications, manager contact lists.\n\n## Use Cases\nCorporate onboarding programs tracking employee progress, online learning platforms identifying struggling students \n\n## Customization\nAdjust AI analysis criteria for your curriculum. Integrate Slack for instructor alerts. \n\n## Benefits\nReduces instructor workload by 70%, identifies at-risk learners 2 weeks early ", "workflow": { "id": "K3mSyjQj3x80Idgz", "meta": { "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502" }, "name": "GPT-4.1 mini-Powered Learning Management Automation", "tags": [], "nodes": [ { "id": "33713b4d-4820-4a34-939d-563c5c50ff7c", "name": "Daily Learning Check", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1648, 80 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "typeVersion": 1.3 }, { "id": "22c04729-0b3e-45f0-8a66-c3ffbe0eaff5", "name": "Workflow Configuration", "type": "n8n-nodes-base.set", "position": [ -1424, 80 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "id-1", "name": "employeeApiUrl", "type": "string", "value": "<__PLACEHOLDER_VALUE__Employee API endpoint URL__>" }, { "id": "id-2", "name": "progressApiUrl", "type": "string", "value": "<__PLACEHOLDER_VALUE__Progress tracking API endpoint__>" }, { "id": "id-3", "name": "quizApiUrl", "type": "string", "value": "<__PLACEHOLDER_VALUE__Quiz submissions API endpoint__>" }, { "id": "id-4", "name": "learningPathApiUrl", "type": "string", "value": "<__PLACEHOLDER_VALUE__Learning path storage API endpoint__>" }, { "id": "id-5", "name": "managerEmail", "type": "string", "value": "<__PLACEHOLDER_VALUE__Manager email address__>" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "ae45f1a9-785a-45ae-9e49-cd1f1367e904", "name": "Get Employee Data", "type": "n8n-nodes-base.httpRequest", "position": [ -1200, 80 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.employeeApiUrl }}", "options": {} }, "typeVersion": 4.3 }, { "id": "85948847-51b5-43ab-96c9-e2913c0b8dd1", "name": "Assign Training Modules", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -976, 80 ], "parameters": { "text": "=Employee data: {{ $json }}", "options": { "systemMessage": "You are a learning management AI assistant that assigns training modules to employees.\n\nYour task is to:\n1. Analyze the employee data including job role, performance metrics, and compliance requirements\n2. Assign appropriate training modules based on:\n - Job role requirements\n - Performance gaps identified\n - Mandatory compliance training needs\n - Career development opportunities\n3. Return structured assignments with module IDs, priorities, and deadlines\n\nConsider both mandatory and recommended training paths." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 3 }, { "id": "e96a9a24-4a99-4c2e-8402-0cc46a1b44b1", "name": "Training Assignment Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -848, 304 ], "parameters": { "schemaType": "manual", "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"employeeId\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"assignedModules\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"object\",\n\t\t\t\t\"properties\": {\n\t\t\t\t\t\"moduleId\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"moduleName\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"priority\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"dueDate\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"reason\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}" }, "typeVersion": 1.3 }, { "id": "620706ad-68e0-4b6a-9074-cf068ed4e49b", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -976, 304 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {}, "builtInTools": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.3 }, { "id": "7a8d18fd-e179-4bc4-949b-f9f6341d906e", "name": "Save Training Assignments", "type": "n8n-nodes-base.httpRequest", "position": [ -624, 80 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.employeeApiUrl }}/assignments", "method": "POST", "options": {}, "jsonBody": "={{ $json }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.3 }, { "id": "fff86a2a-045e-40cd-ac42-9c69459aa834", "name": "Get Progress Data", "type": "n8n-nodes-base.httpRequest", "position": [ -400, 80 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.progressApiUrl }}", "options": {} }, "typeVersion": 4.3 }, { "id": "8869f697-4a67-4d39-86be-044095bf5e3a", "name": "Analyze Progress", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -176, 80 ], "parameters": { "text": "=Progress data: {{ $json }}", "options": { "systemMessage": "You are a learning progress analysis AI assistant.\n\nYour task is to:\n1. Analyze employee learning progress data\n2. Identify employees who are:\n - Behind schedule on training modules\n - Not engaging with assigned content\n - At risk of missing compliance deadlines\n3. Determine who needs reminder notifications\n4. Calculate completion rates and engagement metrics\n\nReturn structured analysis with reminder flags and progress metrics." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 3 }, { "id": "ed65d594-f2fe-453a-aa90-41f6359f833c", "name": "Progress Analysis Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 16, 304 ], "parameters": { "schemaType": "manual", "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"employeeId\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"needsReminder\": {\n\t\t\t\"type\": \"boolean\"\n\t\t},\n\t\t\"completionRate\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"daysOverdue\": {\n\t\t\t\"type\": \"number\"\n\t\t},\n\t\t\"riskLevel\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}" }, "typeVersion": 1.3 }, { "id": "8c24dda3-d8a0-43b5-84fd-900d6b4737a3", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -176, 304 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {}, "builtInTools": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.3 }, { "id": "8404a854-a6a5-4226-bc87-d29bef4926ef", "name": "Check If Reminder Needed", "type": "n8n-nodes-base.if", "position": [ 176, 80 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": false, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "id-1", "operator": { "type": "boolean", "operation": "equals" }, "leftValue": "={{ $('Analyze Progress').item.json.needsReminder }}", "rightValue": "true" } ] } }, "typeVersion": 2.3 }, { "id": "cee69204-0ab3-4129-bda5-dba31ba01520", "name": "Send Reminder Email", "type": "n8n-nodes-base.gmail", "position": [ 400, 288 ], "webhookId": "ec4edc21-dcad-4042-a7ea-62b9f629999c", "parameters": { "sendTo": "={{ $json.employeeEmail }}", "message": "=Hi {{ $json.employeeName }},\n\nThis is a friendly reminder to complete your assigned training modules. You currently have {{ $json.daysOverdue }} days overdue.\n\nYour completion rate: {{ $json.completionRate }}%\n\nPlease log in to the learning platform to continue your training.\n\nBest regards,\nLearning Management System", "options": {}, "subject": "Training Reminder: Complete Your Assigned Modules" }, "credentials": { "gmailOAuth2": { "id": "credential-id", "name": "gmailOAuth2 Credential" } }, "typeVersion": 2.2 }, { "id": "63d7c191-b5e4-4002-8455-450676ac7d3c", "name": "Get Quiz Submissions", "type": "n8n-nodes-base.httpRequest", "position": [ 656, 96 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.quizApiUrl }}", "options": {} }, "typeVersion": 4.3 }, { "id": "d082ff9d-cd86-4900-a367-a27a9bfe8e17", "name": "Evaluate Quiz Submissions", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 880, 96 ], "parameters": { "text": "=Quiz submissions: {{ $json }}", "options": { "systemMessage": "You are a quiz evaluation AI assistant.\n\nYour task is to:\n1. Evaluate quiz submissions from employees\n2. Grade answers based on correctness and completeness\n3. Provide constructive feedback on incorrect answers\n4. Calculate overall scores and pass/fail status\n5. Identify knowledge gaps for follow-up training\n\nReturn structured evaluation results with scores, feedback, and recommendations." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 3 }, { "id": "4b695d1f-7438-4ff1-b8d7-901457986b8d", "name": "Quiz Evaluation Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 1056, 320 ], "parameters": { "jsonSchemaExample": "{\n\t\"employeeId\": \"string\",\n\t\"quizId\": \"string\",\n\t\"score\": 0,\n\t\"passed\": false,\n\t\"feedback\": \"string\",\n\t\"knowledgeGaps\": [\"string\"]\n}" }, "typeVersion": 1.3 }, { "id": "8d8b3f92-98d5-41bd-868f-3a13e3141ae6", "name": "OpenAI Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 880, 320 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {}, "builtInTools": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.3 }, { "id": "7b4d04e9-c4b1-42ec-8da7-f91da1b837e3", "name": "Save Quiz Results", "type": "n8n-nodes-base.httpRequest", "position": [ 1232, 96 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.quizApiUrl }}/results", "method": "POST", "options": {}, "jsonBody": "={{ $json }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.3 }, { "id": "a9b6ad1d-bc67-4891-983d-ca5e896f22ef", "name": "Generate Learning Paths", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1456, 96 ], "parameters": { "text": "=Quiz results and employee data: {{ $json }}", "options": { "systemMessage": "You are a personalized learning path generation AI assistant.\n\nYour task is to:\n1. Analyze quiz results and knowledge gaps\n2. Review employee performance and career goals\n3. Generate personalized learning paths that:\n - Address identified knowledge gaps\n - Build on existing strengths\n - Align with career development objectives\n - Include progressive difficulty levels\n4. Recommend specific modules, courses, and resources\n5. Set realistic timelines and milestones\n\nReturn structured learning paths with clear progression steps." }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 3 }, { "id": "e8e29124-378d-4b1e-a6cc-7b3cefb80bae", "name": "Learning Path Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 1616, 320 ], "parameters": { "schemaType": "manual", "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"employeeId\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"learningPath\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"object\",\n\t\t\t\t\"properties\": {\n\t\t\t\t\t\"step\": {\n\t\t\t\t\t\t\"type\": \"number\"\n\t\t\t\t\t},\n\t\t\t\t\t\"moduleName\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"estimatedDuration\": {\n\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t},\n\t\t\t\t\t\"prerequisites\": {\n\t\t\t\t\t\t\"type\": \"array\",\n\t\t\t\t\t\t\"items\": {\n\t\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t\t}\n\t\t\t\t\t},\n\t\t\t\t\t\"objectives\": {\n\t\t\t\t\t\t\"type\": \"array\",\n\t\t\t\t\t\t\"items\": {\n\t\t\t\t\t\t\t\"type\": \"string\"\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\t\"totalDuration\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"milestones\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t}\n\t\t}\n\t}\n}" }, "typeVersion": 1.3 }, { "id": "bf9a1476-150c-4f75-963b-f2955a80f0bd", "name": "OpenAI Chat Model3", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1408, 320 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {}, "builtInTools": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.3 }, { "id": "016dbd38-b60e-49cc-951d-58d240339a68", "name": "Save Learning Paths", "type": "n8n-nodes-base.httpRequest", "position": [ 1808, 96 ], "parameters": { "url": "={{ $('Workflow Configuration').first().json.learningPathApiUrl }}", "method": "POST", "options": {}, "jsonBody": "={{ $json }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.3 }, { "id": "8502e66c-6b68-4251-9acb-3fc2abfb6cc7", "name": "Notify Manager", "type": "n8n-nodes-base.gmail", "position": [ 2224, 96 ], "webhookId": "6615b44c-de9f-4222-84ba-1e21f016f393", "parameters": { "sendTo": "={{ $('Workflow Configuration').first().json.managerEmail }}", "message": "={{ $json.reportHtml }}", "options": {}, "subject": "Daily Learning Management Report" }, "credentials": { "gmailOAuth2": { "id": "credential-id", "name": "gmailOAuth2 Credential" } }, "typeVersion": 2.2 }, { "id": "01955e21-2189-4419-a790-b33d805c52e3", "name": "Prepare Manager Report", "type": "n8n-nodes-base.code", "position": [ 2032, 96 ], "parameters": { "jsCode": "// Aggregate all learning data and create comprehensive manager report\nconst items = $input.all();\n\n// Initialize statistics\nconst stats = {\n totalEmployees: 0,\n trainingAssignments: {\n total: 0,\n byModule: {}\n },\n completionRates: {\n completed: 0,\n inProgress: 0,\n notStarted: 0,\n averageCompletionRate: 0\n },\n quizPerformance: {\n totalQuizzes: 0,\n averageScore: 0,\n passRate: 0,\n scores: []\n },\n learningPaths: {\n total: 0,\n byType: {}\n }\n};\n\nconst employeeDetails = [];\n\n// Process each item\nfor (const item of items) {\n const data = item.json;\n \n // Count employees\n if (data.employeeId) {\n stats.totalEmployees++;\n \n // Collect employee details\n employeeDetails.push({\n employeeId: data.employeeId,\n name: data.employeeName || 'Unknown',\n trainingModules: data.trainingModules || [],\n completionStatus: data.completionStatus || 'not_started',\n quizScore: data.quizScore || 0,\n learningPath: data.learningPath || 'Not assigned'\n });\n }\n \n // Training assignments\n if (data.trainingModules && Array.isArray(data.trainingModules)) {\n stats.trainingAssignments.total += data.trainingModules.length;\n data.trainingModules.forEach(module => {\n stats.trainingAssignments.byModule[module] = (stats.trainingAssignments.byModule[module] || 0) + 1;\n });\n }\n \n // Completion rates\n if (data.completionStatus) {\n if (data.completionStatus === 'completed') {\n stats.completionRates.completed++;\n } else if (data.completionStatus === 'in_progress') {\n stats.completionRates.inProgress++;\n } else {\n stats.completionRates.notStarted++;\n }\n }\n \n // Quiz performance\n if (data.quizScore !== undefined) {\n stats.quizPerformance.totalQuizzes++;\n stats.quizPerformance.scores.push(data.quizScore);\n }\n \n // Learning paths\n if (data.learningPath) {\n stats.learningPaths.total++;\n stats.learningPaths.byType[data.learningPath] = (stats.learningPaths.byType[data.learningPath] || 0) + 1;\n }\n}\n\n// Calculate averages\nif (stats.totalEmployees > 0) {\n stats.completionRates.averageCompletionRate = Math.round((stats.completionRates.completed / stats.totalEmployees) * 100);\n}\n\nif (stats.quizPerformance.scores.length > 0) {\n const totalScore = stats.quizPerformance.scores.reduce((sum, score) => sum + score, 0);\n stats.quizPerformance.averageScore = Math.round(totalScore / stats.quizPerformance.scores.length);\n stats.quizPerformance.passRate = Math.round((stats.quizPerformance.scores.filter(score => score >= 70).length / stats.quizPerformance.scores.length) * 100);\n}\n\n// Generate report summary\nconst reportSummary = `\n=== LEARNING MANAGEMENT REPORT ===\nGenerated: ${new Date().toISOString()}\n\nOVERVIEW:\n- Total Employees: ${stats.totalEmployees}\n- Total Training Assignments: ${stats.trainingAssignments.total}\n- Total Learning Paths Created: ${stats.learningPaths.total}\n\nCOMPLETION STATUS:\n- Completed: ${stats.completionRates.completed} (${stats.completionRates.averageCompletionRate}%)\n- In Progress: ${stats.completionRates.inProgress}\n- Not Started: ${stats.completionRates.notStarted}\n\nQUIZ PERFORMANCE:\n- Total Quizzes Taken: ${stats.quizPerformance.totalQuizzes}\n- Average Score: ${stats.quizPerformance.averageScore}%\n- Pass Rate (β‰₯70%): ${stats.quizPerformance.passRate}%\n\nTRAINING MODULES DISTRIBUTION:\n${Object.entries(stats.trainingAssignments.byModule).map(([module, count]) => `- ${module}: ${count} assignments`).join('\\n')}\n\nLEARNING PATHS DISTRIBUTION:\n${Object.entries(stats.learningPaths.byType).map(([path, count]) => `- ${path}: ${count} employees`).join('\\n')}\n`;\n\n// Return comprehensive report\nreturn [\n {\n json: {\n reportDate: new Date().toISOString(),\n summary: reportSummary,\n statistics: stats,\n employeeDetails: employeeDetails,\n recommendations: [\n stats.completionRates.averageCompletionRate < 50 ? 'Low completion rate - consider sending additional reminders' : null,\n stats.quizPerformance.averageScore < 70 ? 'Average quiz score below passing - review training material quality' : null,\n stats.completionRates.notStarted > stats.totalEmployees * 0.3 ? 'High number of employees not started - increase engagement efforts' : null\n ].filter(r => r !== null)\n }\n }\n];" }, "typeVersion": 2 }, { "id": "6c0446f5-e235-4899-b591-ab8826d045c8", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 240, -320 ], "parameters": { "color": 6, "width": 432, "height": 224, "content": "## Customization\nAdjust AI analysis criteria for your curriculum. Integrate Slack for instructor alerts. \n\n## Benefits\nReduces instructor workload by 70%, identifies at-risk learners 2 weeks early " }, "typeVersion": 1 }, { "id": "8e884427-e372-4b5a-81fd-64ff8d425542", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -336, -320 ], "parameters": { "color": 5, "width": 544, "height": 224, "content": "## Prerequisites\nLMS platform credentials, OpenAI API key, learner database, email service for notifications, manager contact lists.\n\n## Use Cases\nCorporate onboarding programs tracking employee progress, online learning platforms identifying struggling students \n" }, "typeVersion": 1 }, { "id": "7b93b09a-110d-4a3e-957d-1b4d08d62016", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -800, -304 ], "parameters": { "color": 4, "width": 448, "height": 192, "content": "## Setup Steps\n1. Configure daily schedule trigger. \n2. Connect learning management system APIs (LMS). \n3. Set OpenAI keys for progress analysis. \n4. Enable Gmail for multi-recipient notifications. \n5. Map learner risk thresholds and escalation rules." }, "typeVersion": 1 }, { "id": "4f2ecafd-e15b-4518-a780-0d8bd3e78e14", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -1728, -320 ], "parameters": { "width": 928, "height": 208, "content": "## How It Works\nAutomates daily learner engagement monitoring, progress analysis, and personalized feedback delivery for training programs. Target audience: learning and development teams, corporate training managers, and online education platforms scaling instructor workload. Problem solved: manual progress tracking consumes instructor time; AI analysis identifies struggling learners early for intervention. Workflow runs daily checks on learner activity, retrieves course data and progress, analyzes engagement with OpenAI models, evaluates quiz scores, generates performance summaries, sends progress reports to learners, emails instructors on at-risk cases, generates learning paths, and triggers manager notifications." }, "typeVersion": 1 }, { "id": "ba23a743-8322-40b4-a8b9-153e52b7bc7c", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1744, -64 ], "parameters": { "color": 7, "width": 688, "height": 352, "content": "## Data Collection\n**What:** Daily triggers fetch learner profiles, course progress, quiz results, and engagement metrics.\n**Why:** Real-time snapshots enable early identification of performance issues " }, "typeVersion": 1 }, { "id": "a8b94240-4279-4181-8a96-1a06055f0834", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 1760, -64 ], "parameters": { "color": 7, "width": 672, "height": 688, "content": "## Multi-Channel Notifications\n**What:** Send progress reports to learners via email, notify instructors of at-risk cases, alert managers via summary reports.\n**Why:** Timely interventions prevent disengagement; stakeholder visibility enables proactive support." }, "typeVersion": 1 }, { "id": "2f7ec9e6-0b05-4ed3-a902-f49675cbf54d", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ -1024, -64 ], "parameters": { "color": 7, "width": 2368, "height": 528, "content": "\n## AI-Powered Analysis\n**What:** OpenAI models evaluate learning patterns, identify at-risk learners, and calculate performance scores.\n**Why:** Automated analysis detects subtle patterns humans miss; " }, "typeVersion": 1 }, { "id": "652afc5f-9e08-4520-a078-ffd69b4bf3c3", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 1360, -64 ], "parameters": { "color": 7, "width": 368, "height": 688, "content": "## Personalized Interventions\n**What:** Generate customized learning paths for struggling learners\n**Why:** Tailored recommendations improve retention and progression." }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "49a08057-b1ab-4d70-a9c8-3e8e85afac37", "connections": { "Analyze Progress": { "main": [ [ { "node": "Check If Reminder Needed", "type": "main", "index": 0 } ] ] }, "Get Employee Data": { "main": [ [ { "node": "Assign Training Modules", "type": "main", "index": 0 } ] ] }, "Get Progress Data": { "main": [ [ { "node": "Analyze Progress", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Assign Training Modules", "type": "ai_languageModel", "index": 0 } ] ] }, "Save Quiz Results": { "main": [ [ { "node": "Generate Learning Paths", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Analyze Progress", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "Evaluate Quiz Submissions", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model3": { "ai_languageModel": [ [ { "node": "Generate Learning Paths", "type": "ai_languageModel", "index": 0 } ] ] }, "Save Learning Paths": { "main": [ [ { "node": "Prepare Manager Report", "type": "main", "index": 0 } ] ] }, "Send Reminder Email": { "main": [ [ { "node": "Get Quiz Submissions", "type": "main", "index": 0 } ] ] }, "Daily Learning Check": { "main": [ [ { "node": "Workflow Configuration", "type": "main", "index": 0 } ] ] }, "Get Quiz Submissions": { "main": [ [ { "node": "Evaluate Quiz Submissions", "type": "main", "index": 0 } ] ] }, "Learning Path Parser": { "ai_outputParser": [ [ { "node": "Generate Learning Paths", "type": "ai_outputParser", "index": 0 } ] ] }, "Prepare Manager Report": { "main": [ [ { "node": "Notify Manager", "type": "main", "index": 0 } ] ] }, "Quiz Evaluation Parser": { "ai_outputParser": [ [ { "node": "Evaluate Quiz Submissions", "type": "ai_outputParser", "index": 0 } ] ] }, "Workflow Configuration": { "main": [ [ { "node": "Get Employee Data", "type": "main", "index": 0 } ] ] }, "Assign Training Modules": { "main": [ [ { "node": "Save Training Assignments", "type": "main", "index": 0 } ] ] }, "Generate Learning Paths": { "main": [ [ { "node": "Save Learning Paths", "type": "main", "index": 0 } ] ] }, "Check If Reminder Needed": { "main": [ [ { "node": "Send Reminder Email", "type": "main", "index": 0 } ], [ { "node": "Get Quiz Submissions", "type": "main", "index": 0 } ] ] }, "Progress Analysis Parser": { "ai_outputParser": [ [ { "node": "Analyze Progress", "type": "ai_outputParser", "index": 0 } ] ] }, "Evaluate Quiz Submissions": { "main": [ [ { "node": "Save Quiz Results", "type": "main", "index": 0 } ] ] }, "Save Training Assignments": { "main": [ [ { "node": "Get Progress Data", "type": "main", "index": 0 } ] ] }, "Training Assignment Parser": { "ai_outputParser": [ [ { "node": "Assign Training Modules", "type": "ai_outputParser", "index": 0 } ] ] } } }, "lastUpdatedBy": 1, "workflowInfo": { "nodeCount": 32, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.gmail": { "count": 2 }, "n8n-nodes-base.stickyNote": { "count": 8 }, "n8n-nodes-base.httpRequest": { "count": 6 }, "@n8n/n8n-nodes-langchain.agent": { "count": 4 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 4 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 4 } } }, "status": "published", "user": { "name": "Cheng Siong Chin", "username": "cschin", "bio": "Dr. Cheng Siong CHIN is an n8n workflow creator specializing in AI-powered automation, agent orchestration, and intelligent system integrations. He designs and builds end-to-end workflows that combine LLMs, APIs, and data pipelines to streamline complex processes and deliver production-ready automation solutions. Contact me to discuss custom AI workflows and agent architectures.\n", "verified": true, "links": [ "https://gravatar.com/mysticluminary9fa255f7f5" ], "avatar": "https://gravatar.com/avatar/54544f98e839bb9dd9a764ad1e6823eeddb6db5138d201e42f291a7b0a73303f?r=pg&d=retro&size=200" }, "nodes": [ { "id": 19, "icon": "file:httprequest.svg", "name": "n8n-nodes-base.httpRequest", "codex": { "data": { "alias": [ "API", "Request", "URL", "Build", "cURL" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "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-pulling-and-visualizing-data-with-n8n/", "icon": "πŸ“ˆ", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/", "icon": "✍️", "label": "Learn how to automatically cross-post your content with n8n" }, { "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/running-n8n-on-ships-an-interview-with-maranics/", "icon": "πŸ›³", "label": "Running n8n on ships: An interview with Maranics" }, { "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/", "icon": " πŸͺ’", "label": "What are APIs and how to use them with no code" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚑️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/world-poetry-day-workflow/", "icon": "πŸ“œ", "label": "Celebrating World Poetry Day with a daily poem in Telegram" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "πŸ’‘", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/", "icon": "🎨", "label": "Automate Designs with Bannerbear and n8n" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " πŸ•ΈοΈ", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "πŸ“±", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "πŸ€–", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/", "icon": "🧰", "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation" }, { "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/", "icon": "πŸ¦„", "label": "Learn how to use webhooks with Mattermost slash commands" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "πŸ“ˆ", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "πŸ“ˆ", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎑", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/automations-for-activists/", "icon": "✨", "label": "How Common Knowledge use workflow automation for activism" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🀟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "πŸ›΅", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "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/core-nodes/n8n-nodes-base.httprequest/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"output\"]", "defaults": { "name": "HTTP Request", "color": "#0004F5" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "HTTP Request", "typeVersion": 4, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "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/create-a-toxic-language-detector-for-telegram/", "icon": "🀬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "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-build-a-low-code-self-hosted-url-shortener/", "icon": "πŸ”—", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "βš™οΈ", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "πŸ‘₯", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚑️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "πŸ’‘", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/", "icon": "🏷️", "label": "How to automatically manage contributions to open-source projects" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " πŸ•ΈοΈ", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "πŸ€–", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "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": "πŸ™Œ", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎑", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "πŸŽ–", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "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/core-nodes/n8n-nodes-base.if/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Flow" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "If", "color": "#408000" }, "iconData": { "icon": "map-signs", "type": "icon" }, "displayName": "If", "typeVersion": 2, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "id": 38, "icon": "fa:pen", "name": "n8n-nodes-base.set", "codex": { "data": { "alias": [ "Set", "JS", "JSON", "Filter", "Transform", "Map" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "πŸ“ˆ", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/", "icon": "πŸ“‘", "label": "Database Monitoring and Alerting with n8n" }, { "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/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-build-a-low-code-self-hosted-url-shortener/", "icon": "πŸ”—", "label": "How to build a low-code, self-hosted URL shortener in 3 steps" }, { "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/", "icon": "βš™οΈ", "label": "Automate your data processing pipeline in 9 steps" }, { "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/", "icon": "πŸ‘₯", "label": "How to get started with CRM automation (with 3 no-code workflow ideas" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚑️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "πŸ’‘", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " πŸ•ΈοΈ", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "πŸ“±", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/", "icon": "πŸ“Ή", "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "πŸ€–", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/", "icon": "🧰", "label": "Learn to Build Powerful API Endpoints Using Webhooks" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "πŸ“ˆ", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "πŸ“ˆ", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎑", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/", "icon": "πŸŽ–", "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "πŸ›΅", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "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/core-nodes/n8n-nodes-base.set/" } ] }, "categories": [ "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Data Transformation" ] } } }, "group": "[\"input\"]", "defaults": { "name": "Edit Fields" }, "iconData": { "icon": "pen", "type": "icon" }, "displayName": "Edit Fields (Set)", "typeVersion": 3, "nodeCategories": [ { "id": 9, "name": "Core Nodes" } ] }, { "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": "πŸ‘₯", "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": "πŸ’‘", "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": " πŸ–₯️", "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": "πŸ’ͺ", "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": 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": 1153, "icon": "file:openAiLight.svg", "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "codex": { "data": { "resources": { "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/" } ] }, "categories": [ "AI", "Langchain" ], "subcategories": { "AI": [ "Language Models", "Root Nodes" ], "Language Models": [ "Chat Models (Recommended)" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "OpenAI Chat Model" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "OpenAI Chat Model", "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" } ] } ], "categories": [ { "id": 35, "name": "Document Extraction" }, { "id": 49, "name": "AI Summarization" } ], "image": [] } }