Instagram Competitor Story Alert System

This workflow automates the process of monitoring Instagram stories from competitors and generating alert notifications based on new story updates. It integrates multiple tools including webhooks, AI language models, vector embeddings, and Google Sheets to facilitate real-time alerts and logging.

The workflow starts with a webhook trigger that activates upon receiving new Instagram story data. It then processes this content by splitting the text into manageable chunks, which are subsequently embedded into vector representations using OpenAI’s embedding models. These embeddings are stored in a Supabase vector database, allowing for efficient similarity searches.

Next, the workflow incorporates a retrieval step where relevant embeddings are queried to find related stories or content, aiding in contextual analysis. A Retrieval-Augmented Generation (RAG) agent, powered by OpenAI’s chat model, then processes the information, guided by a predefined prompt, to generate an appropriate alert or response.

Finally, the workflow logs the alert status into Google Sheets for record-keeping and sends notifications via Slack in case of errors. This automation is useful for social media teams wanting to track and respond to competitors’ Instagram stories promptly, enabling timely competitive insights and responses.