Use Cases
- Real-time moderation of live stream chats to ensure a positive environment
- Automated logging of chat interactions for analysis and reporting
- Efficient handling of large volumes of chat messages during live events
How It Works
Webhook receives chat messages from live streams Messages are split into chunks for processing Embeddings are generated using OpenAI for analysis Processed data is inserted into a vector store for retrieval Queries are made to retrieve relevant information from the vector store Results are sent to a chat agent for moderation actions Interactions are logged in Google Sheets for record-keeping
Setup Steps
- 1Import the Live Stream Chat Moderator workflow template
- 2Configure the webhook to receive chat messages
- 3Set up OpenAI and Supabase credentials
- 4Connect Google Sheets for logging interactions
- 5Test the workflow to ensure proper functionality
Apps Used
Google Sheets
OpenAI
Supabase
Categories
Target Roles
Tags
#ai chatbots
#text processing
#workflow management