AI Agents
Record Twitter mentions in Notion
12 nodes
259
146
Webhook
Workflow Description
An automation template that receives tweet mentions via webhook, processes them with an AI agent powered by Anthropic, analyzes text content, stores embeddings in a vector database, and syncs organized data to Google Sheets with Slack notifications.
How it works
- 1.Capture Twitter mentions through webhook trigger connected to notification source
- 2.Process and split text content, convert to embeddings using Cohere, and store in Weaviate Vector Store
- 3.Maintain conversation context using Memory Buffer Window for continuous learning
- 4.Analyze mention content with AI agent powered by Claude Anthropic model
- 5.Record processed data to Google Sheets and send summary notification to Slack
Use cases
- Track and organize brand mentions and discussions from Twitter in a centralized database
- Monitor product-related conversations and automatically categorize engagement by sentiment or topic
Requirements
- Twitter account with access to mentions API or external notification service
- Active accounts in Anthropic, Google Sheets, Slack, and Weaviate vector database
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Text Splitter
Embeddings
Vector Store
Memory
Anthropic
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
8
Views
259
Downloads
146
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (12)
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Sticky Note
Sticky Note
Webhook Trigger
Webhook
Text Splitter
Text Splitter Character Text Splitter
Embeddings
Embeddings Cohere
Weaviate Insert
Vector Store Weaviate
Weaviate Query
Vector Store Weaviate
Vector Tool
Tool Vector Store
Window Memory
Memory Buffer Window
Chat Model
Lm Chat Anthropic
RAG Agent
Agent
Append Sheet
Google Sheets
Slack Alert
Slack