AI Agents
Analyze Reviews and Send Summaries to Slack
12 nodes
343
191
Webhook
Workflow Description
An automation that receives reviews via webhook, analyzes them using an intelligent agent powered by OpenAI models, stores data in a vector database, and delivers insights directly to Slack channels for immediate action and feedback.
How it works
- 1.Receive incoming review through webhook trigger
- 2.Split and vectorize review text using embeddings
- 3.Analyze content with AI agent using contextual memory
- 4.Search vector store for related past reviews
- 5.Generate summary and scoring with OpenAI
- 6.Send results to designated Slack channel
Use cases
- Automatically process customer and prospect reviews at scale
- Analyze employee feedback while maintaining records in Google Sheets
- Monitor anonymous reviews and prioritize by severity or sentiment
Requirements
- OpenAI API key with GPT access
- Slack workspace with message posting permissions
- Supabase or vector store connection configured
- Google Sheets spreadsheet for long-term storage
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Text Splitter
OpenAI
Vector Store
Memory
AI Agent
Google Sheets
Slack
Details
Trigger
Webhook
Nodes
12
Apps
7
Views
343
Downloads
191
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
OpenAI
Supabase Insert
Vector Store Supabase
Supabase Query
Vector Store Supabase
Vector Tool
Tool Vector Store
Window Memory
Memory Buffer Window
Chat Model
OpenAI
RAG Agent
Agent
Append Sheet
Google Sheets
Slack Alert
Slack