{ "workflow": { "id": 4578, "name": "AI-powered Asana task prioritization with GPT-4 and Pinecone memory", "views": 1413, "recentViews": 0, "totalViews": 1413, "createdAt": "2025-06-02T08:37:29.004Z", "description": "\nReplace manual task prioritization with intelligent AI reasoning that thinks like a Chief Operating Officer. This workflow automatically fetches your Asana tasks every morning, analyzes them using advanced AI models, and delivers the single most critical task with detailed reasoning - ensuring your team always focuses on what matters most.\n\n### ✨ **What This Workflow Does:**\n\n- **πŸ“‹ Automated Task Collection**: Fetches all assigned Asana tasks daily at 9 AM\n- **πŸ€– AI-Powered Analysis**: Uses OpenAI GPT-4 to evaluate urgency, impact, and strategic importance\n- **🎯 Smart Prioritization**: Identifies the #1 most critical task with detailed reasoning\n- **🧠 Contextual Memory**: Leverages vector database for historical context and pattern recognition\n- **πŸ’Ύ Structured Storage**: Saves prioritized tasks to PostgreSQL with full audit trail\n- **πŸ”„ Continuous Learning**: Builds organizational knowledge over time for better decisions\n\n### πŸ”§ **Key Features:**\n\n- **Daily automation** with zero manual intervention\n- **Context-aware AI** that learns from past prioritization decisions\n- **Strategic reasoning** explaining why each task is prioritized\n- **Vector-powered memory** using Pinecone for intelligent context retrieval\n- **Clean structured output** with task names, priority levels, and detailed justifications\n- **Database integration** for reporting and historical analysis\n\n### πŸ“‹ **Prerequisites:**\n\n- Asana account with API access\n- OpenAI API key (GPT-4 recommended)\n- PostgreSQL database\n- Pinecone account (for vector storage and context)\n\n### 🎯 **Perfect For:**\n\n- Operations teams managing multiple competing priorities\n- Startups needing systematic task management\n- Project managers juggling complex workflows\n- Leadership teams requiring strategic focus\n- Any organization wanting AI-driven operational intelligence\n\n### πŸ’‘ **How It Works:**\n\n1. **Morning Automation**: Triggers every day at 9 AM\n2. **Data Collection**: Pulls all relevant tasks from Asana\n3. **AI Analysis**: Evaluates each task using COO-level strategic thinking\n4. **Context Retrieval**: Searches vector database for similar past tasks\n5. **Smart Prioritization**: Identifies the single most important task\n6. **Structured Output**: Delivers priority level with detailed reasoning\n7. **Data Storage**: Saves results for reporting and continuous improvement\n\n### πŸ“¦ **What You Get:**\n\n- Complete n8n workflow with all AI components configured\n- PostgreSQL database schema for task storage\n- Vector database setup for contextual intelligence\n- Comprehensive documentation and setup guide\n- Sample task data and output examples\n\n---\n\n### πŸ’‘ **Need Help or Want to Learn More?**\n\n**Created by Yaron Been** - Automation & AI Specialist\n\n- πŸ“§ **Support**: Yaron@nofluff.online\n- πŸŽ₯ **YouTube Tutorials**: [https://www.youtube.com/@YaronBeen/videos](https://www.youtube.com/@YaronBeen/videos)\n- πŸ’Ό **LinkedIn**: [https://www.linkedin.com/in/yaronbeen/](https://www.linkedin.com/in/yaronbeen/)\n\n*Discover more advanced automation workflows and AI integration tutorials on my channels!*\n\n---\n\n### 🏷️ **Tags:** \n`AI`, `OpenAI`, `Asana`, `Task Management`, `COO`, `Prioritization`, `Automation`, `Vector Database`, `Operations`, `GPT-4`", "workflow": { "id": "czDg0Q7wsAoqYQIx", "meta": { "instanceId": "84ad02d6104594179f43f1ce9cfe3a81637b2faedb57dafcb9e649b7542988db" }, "name": "COO Task Prioritization", "tags": [], "nodes": [ { "id": "39d955ab-7c8e-4faa-ae3d-948dfa5e0615", "name": "Pinecone Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ 640, 500 ], "parameters": { "options": {}, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" } }, "credentials": { "pineconeApi": { "id": "credential-id", "name": "pineconeApi Credential" } }, "typeVersion": 1.1 }, { "id": "923a5e54-785a-4c4f-b6b8-f540bb1c4e19", "name": "Daily 9AM Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "typeVersion": 1.2 }, { "id": "28adcd8d-e4cf-45f7-ad32-16ffe30a525b", "name": "Fetch Tasks", "type": "n8n-nodes-base.asana", "position": [ 220, 0 ], "parameters": { "filters": { "project": "" }, "operation": "getAll", "returnAll": true }, "typeVersion": 1 }, { "id": "b43946e1-1b62-46fc-9211-72551b6c55c7", "name": "COO Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 660, 0 ], "parameters": { "text": "={{ $json.data }}", "options": { "systemMessage": "=You are a COO AI agent that helps prioritize operational tasks. Use the retrieved context from vector_database_tool to assess task urgency and strategic importance.\n\nFor the most priority task, output:\n\nTask Name\n\nPriority Level: High / Medium / Low\n\nDue Date\n\nReason for Priority\n\nConsider urgency (due date), impact on operations, and dependencies retrieved from vector knowledge.\nJust give back the most important task" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.9 }, { "id": "b716a7b4-0357-4730-89b2-8bc295d5a22a", "name": "Save Prioritized Task", "type": "n8n-nodes-base.postgres", "position": [ 1600, 0 ], "parameters": { "table": { "__rl": true, "mode": "list", "value": "prioritized_tasks", "cachedResultName": "prioritized_tasks" }, "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "value": { "task_name": "={{ $json.output.tasks[0][\"Task Name\"] }}", "priority_level": "={{ $json.output.tasks[0][\"Priority Level\"] }}", "reason_for_priority": "={{ $json.output.tasks[0][\"Reason for Priority\"] }}" }, "schema": [ { "id": "id", "type": "number", "display": true, "removed": true, "required": false, "displayName": "id", "defaultMatch": true, "canBeUsedToMatch": true }, { "id": "task_name", "type": "string", "display": true, "required": true, "displayName": "task_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "priority_level", "type": "string", "display": true, "required": false, "displayName": "priority_level", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "reason_for_priority", "type": "string", "display": true, "required": false, "displayName": "reason_for_priority", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "id" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "id": "credential-id", "name": "postgres Credential" } }, "typeVersion": 2.6 }, { "id": "759f799a-d046-4609-8894-99a9b951e43f", "name": "Task Reasoning Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 560, 260 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "4e3a60ec-d900-44e9-beaf-0de5905d9b2e", "name": "Priority Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 1120, 180 ], "parameters": { "jsonSchemaExample": "{\n \"tasks\": [\n {\n \"Task Name\": \"Review quarterly KPIs\",\n \"Priority Level\": \"High\",\n \"Reason for Priority\": \"Provides critical performance metrics for all departments; deadline is approaching.\"\n },\n" }, "typeVersion": 1.2 }, { "id": "d7ae1305-e2f2-44c0-9c21-8cb29310a5d8", "name": "Task Knowledge Vector DB", "type": "@n8n/n8n-nodes-langchain.toolVectorStore", "position": [ 820, 220 ], "parameters": { "name": "vector_database_tool", "description": "The information related to task prioritization is here" }, "typeVersion": 1 }, { "id": "906b83fc-d501-4442-b470-3e90148ace33", "name": "Vector Query Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 960, 440 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "e2b8e43c-1f7e-43e0-bba1-d186776d1e2b", "name": "Generate Task Embeddings", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 580, 720 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "61c92166-6068-4884-ac39-af52ae4a496a", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -40, -480 ], "parameters": { "color": 6, "width": 400, "height": 680, "content": "## πŸ” Section 1: Trigger & Data Retrieval\n\n### πŸ”Ή **Node: `Daily 9AM Trigger`**\n\n* **Function**: Starts the workflow every day at 9:00 AM.\n* **Type**: Time-based scheduler.\n* **Why**: Ensures task processing is automated and consistent on a daily schedule.\n\n### πŸ”Ή **Node: `Fetch Asana Tasks`**\n\n* **Function**: Retrieves all tasks from Asana that are due or assigned.\n* **Type**: API Connector to Asana.\n* **Why**: Acts as the entry point for incoming task data that needs prioritization.\n" }, "typeVersion": 1 }, { "id": "c9d36c9c-2cd3-407c-bc97-c765e6cb3bc6", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 500, -600 ], "parameters": { "color": 5, "width": 760, "height": 1480, "content": "## 🧠 Section 2: AI Prioritization\n\n### πŸ”Ή **Node: `COO Task Prioritization Agent`**\n\n* **Function**: Uses an AI Agent to evaluate and assign a priority to each task.\n* **Inputs**: Raw task data from Asana.\n* **Outputs**:\n\n * `task_name`\n * `priority_level` (e.g., High, Medium, Low)\n * `reason_for_priority` (a justification provided by the AI)\n* **Why**: Simulates a COO’s judgment to focus on strategic and urgent tasks.\n\n### πŸ”Ή **Node: `Task Reasoning Model`**\n\n* **Function**: Enhances the AI Agent's decision-making by providing natural language reasoning.\n* **Model**: OpenAI Chat Model.\n* **Why**: Adds contextual understanding to why a task is important.\n\n### πŸ”Ή **Node: `Priority Output Parser`**\n\n* **Function**: Extracts structured data (task name, priority level, reasoning) from the AI’s output.\n* **Why**: Ensures only clean, usable data is passed to the database layer." }, "typeVersion": 1 }, { "id": "4030c4f7-140c-453b-8441-4ed230da0928", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 1460, -460 ], "parameters": { "color": 3, "width": 380, "height": 640, "content": "## πŸ—ƒοΈ Section 3: Data Storage & Enrichment\n\n### πŸ”Ή **Node: `Save Prioritized Tasks`**\n\n* **Function**: Inserts each prioritized task into a PostgreSQL database.\n* **Fields**:\n\n * `task_name`\n * `priority_level`\n * `reason_for_priority`\n* **Why**: Provides a persistent store for further reporting, monitoring, or automation." }, "typeVersion": 1 }, { "id": "cd768682-0aee-41d9-bdbc-0b3e8509a042", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1980, -460 ], "parameters": { "color": 4, "width": 1300, "height": 320, "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n" }, "typeVersion": 1 }, { "id": "019cb716-597a-49b3-8eeb-fc523f210c8f", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1980, -120 ], "parameters": { "color": 4, "width": 1289, "height": 2238, "content": "Absolutely! Here's a **very detailed, polished explanation** of your workflow β€” structured in a **clean, professional format** with icons and broken into **three logical sections**. This is suitable for documentation, presentations, or onboarding team members.\n\n---\n\n# 🧠 COO Task Automation Workflow Documentation\n\nThis intelligent automation workflow simulates a **COO’s decision-making** by prioritizing daily tasks fetched from Asana using AI. It operates autonomously every morning at 9 AM, analyzes the tasks using an AI reasoning engine with memory and context, and stores the prioritized outcomes in a structured database for operational use.\n\n---\n\n## ⏰ 1. Trigger & Task Collection\n\n### πŸ“… **Automated Daily Start**\n\n* **Time-based Scheduling**: The system is configured to initiate **automatically every day at 9:00 AM** without any manual input.\n* This guarantees consistency in daily planning and ensures tasks are prioritized early in the workday.\n\n### πŸ”— **Integration with Asana**\n\n* The workflow connects directly to the **Asana task management platform**.\n* It fetches tasks assigned to the team or specific users, filtered by criteria such as due date, project, or tag.\n* These tasks include metadata like task name, description, due date, assignee, and any custom fields.\n* All this information becomes the **raw input** for the AI decision-making engine.\n\n---\n\n## 🧠 2. Intelligent Task Prioritization\n\n### πŸ€– **AI-Powered Prioritization Logic**\n\n* Once tasks are collected, they are passed to a custom **AI Agent**.\n* This AI agent plays the role of a **virtual COO**, applying strategic reasoning to prioritize tasks based on business urgency, impact, and context.\n\n### 🧩 **Reasoning Through Language Models**\n\n* Behind the scenes, the agent leverages a **large language model (LLM)** to:\n\n * Analyze each task's content.\n * Cross-reference it with similar past tasks or organizational priorities.\n * Generate an intelligent output:\n\n * **Task Name**\n * **Priority Level** (High, Medium, Low)\n * **Reason for Priority** (justification written in natural language).\n\n### πŸ—‚οΈ **Structured Output Conversion**\n\n* Since the AI outputs natural language, the system uses a **parser** to extract structured fields.\n* This step ensures that the response is normalized and can be cleanly inserted into a relational database.\n\n---\n\n## πŸ“¦ 3. Enrichment & Persistent Storage\n\n### 🧾 **Saving to PostgreSQL**\n\n* The structured data is stored in a **PostgreSQL database** with the following schema:\n\n * `task_name`: The name or summary of the task.\n * `priority_level`: Categorized as High, Medium, or Low.\n * `reason_for_priority`: A brief but clear explanation of why the task received this priority.\n\n### πŸ“š **Contextual Intelligence with Vector Embeddings**\n\n* To make future decisions more intelligent, the system incorporates a **semantic memory layer** using **vector databases** and **embeddings**.\n* All task-YOUR_OPENAI_KEY_HERE text is converted into **numerical vector representations** using an embeddings model.\n* These embeddings are stored in a **vector database**, enabling the AI agent to:\n\n * Recall similar past tasks.\n * Understand historical context.\n * Find patterns across time and projects.\n\n### πŸ” **Semantic Search & Retrieval**\n\n* When making prioritization decisions, the AI queries the vector database to retrieve **semantically similar tasks**.\n* This enables **context-aware decision-making**, allowing the AI to make better judgments based on past learnings, not just current inputs." }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "8c201cdf-caaa-423e-ad38-f6ac7955ff32", "connections": { "COO Agent": { "main": [ [ { "node": "Save Prioritized Task", "type": "main", "index": 0 } ] ] }, "Fetch Tasks": { "main": [ [ { "node": "COO Agent", "type": "main", "index": 0 } ] ] }, "Daily 9AM Trigger": { "main": [ [ { "node": "Fetch Tasks", "type": "main", "index": 0 } ] ] }, "Vector Query Model": { "ai_languageModel": [ [ { "node": "Task Knowledge Vector DB", "type": "ai_languageModel", "index": 0 } ] ] }, "Task Reasoning Model": { "ai_languageModel": [ [ { "node": "COO Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Pinecone Vector Store": { "ai_vectorStore": [ [ { "node": "Task Knowledge Vector DB", "type": "ai_vectorStore", "index": 0 } ] ] }, "Priority Output Parser": { "ai_outputParser": [ [ { "node": "COO Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "Generate Task Embeddings": { "ai_embedding": [ [ { "node": "Pinecone Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Task Knowledge Vector DB": { "ai_tool": [ [ { "node": "COO Agent", "type": "ai_tool", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 15, "nodeTypes": { "n8n-nodes-base.asana": { "count": 1 }, "n8n-nodes-base.postgres": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 5 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 2 }, "@n8n/n8n-nodes-langchain.toolVectorStore": { "count": 1 }, "@n8n/n8n-nodes-langchain.embeddingsOpenAi": { "count": 1 }, "@n8n/n8n-nodes-langchain.vectorStorePinecone": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { 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