AI-Powered Asana Task Prioritization with GPT-4 and Pinecone Memory — n8n 工作流

复杂度 定时10 个节点🏷️ Project Management👁 614 次查看作者:Yaron Been

概览

Replace 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.

✨ What This Workflow Does:

📋 Automated Task Collection**: Fetches all assigned Asana tasks daily at 9 AM 🤖 AI-Powered Analysis**: Uses OpenAI GPT-4 to evalu

使用的节点

AsanaPostgresAI AgentEmbeddings OpenAIOpenAI Chat ModelStructured Output ParserPinecone Vector StoreVector Store Question Answer Tool

工作流预览

🔁 Section 1: Trigger & Data Retrieval
🔹 Node: `Daily 9AM Trigger`
* Function: Starts the workflow every day at 9:00 AM.
* Type: Time-based scheduler.
* Why: Ensures task proce
🧠 Section 2: AI Prioritization
🔹 Node: `COO Task Prioritization Agent`
* Function: Uses an AI Agent to evaluate and assign a p
* Inputs: Raw task data from As
🗃️ Section 3: Data Storage & Enrichment
🔹 Node: `Save Prioritized Tasks`
* Function: Inserts each prioritized task into a Postgr
* Fields:
* `task_name`
* `prio
=======================================
WORKFLOW ASSISTANCE
=======================================
For any questions or support, please contact:
Explore more tip
Absolutely! Here's a very detailed, polished
modelmodelparserembedtool
Pinecone Vector Store
D
Daily 9AM Trigger
Fetch Tasks
COO Agent
Save Prioritized Task
Task Reasoning Model
Priority Output Parser
Task Knowledge Vector DB
Vector Query Model
Generate Task Embeddings
10 nodes9 edges

工作原理

  1. 1

    触发器

    工作流由 定时 触发器启动,按预定计划运行。

  2. 2

    处理

    数据流经 10 个节点, connecting agent, asana, embeddingsopenai。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (10)

AS

Asana

asana

#1
PO

Postgres

postgres

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
EM

Embeddings OpenAI

n8n-nodes-langchain.embeddingsOpenAi

#4
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
PI

Pinecone Vector Store

n8n-nodes-langchain.vectorStorePinecone

#7
VE

Vector Store Question Answer Tool

n8n-nodes-langchain.toolVectorStore

#8

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 ai-powered-asana-task-prioritization-with-gpt-4-and-pinecone-memory 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "AI-Powered Asana Task Prioritization with GPT-4 and Pinecone Memory", "nodes": [...], ...}

集成

agentasanaembeddingsopenailmchatopenaioutputparserstructuredpostgresscheduletriggertoolvectorstorevectorstorepinecone

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点10
复杂度medium
触发器scheduled
查看次数614

创建者

Yaron Been

Yaron Been

@yaron-nofluff

标签

agentasanaembeddingsopenailmchatopenaioutputparserstructuredpostgresscheduletriggertoolvectorstorevectorstorepinecone

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