Automated Blog Comment Monitoring and Alert System

This n8n workflow automates the process of monitoring blog comments, analyzing them, and managing related data and alerts. When a new comment is posted on a blog (triggered via webhook), the workflow splits the comment text into manageable chunks and generates embeddings using Cohere. These embeddings are stored in a Supabase vector database for efficient similarity search. The workflow also leverages a language model (via Anthropic) to analyze the comment’s content with a custom prompt, facilitating tasks such as classification or summary. The analysis results are logged into Google Sheets for record-keeping. If an error occurs during the process, an alert is sent to a Slack channel. This setup is useful for website administrators who want to automate comment moderation, sentiment analysis, or monitoring, and receive instant notifications about potential issues.