AI-powered Asana task prioritization with GPT-4 and Pinecone memory
Needs changesWhat this workflow does
This AI workflow has 10 nodes and runs on a schedule (every day at 09:00). Along the way it connects Pinecone Vector Store, Asana, Postgres and OpenAI Chat Model and 2 more.
How it runs
Trigger: On a schedule (every day at 09:00).
- Fetch Tasks (Asana): get many
- COO Agent (AI Agent): runs an AI agent, with model: Task Reasoning Model; 1 tool (Task Knowledge Vector DB); output parser: Priority Output Parser
- Save Prioritized Task (Postgres): uses Postgres
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in COO Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) COO Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Asana
n8n-nodes-base.asana - AI Agent
@n8n/n8n-nodes-langchain.agent - Postgres
n8n-nodes-base.postgres - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi
From the author
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…