Monitor Discussion Links → Analyze Sentiment → Generate Weekly Report

Set up triggers to automatically capture whenever someone shares a link in team discussions (Slack, Teams, or Discord), along with initial reactions and participant information.

Use GPT-4 to analyze each shared article's content and the surrounding discussion for sentiment, key themes, and engagement level. Extract main topics and team reactions.

Create a structured database with fields for article URL, publication date, sentiment scores, key themes, participant count, and engagement metrics. Use Airtable's views to filter by date, topic, or sentiment.

Set up a weekly automation that queries the Airtable data, identifies trends and popular topics, then sends a formatted report to leadership showing team interests and discussion patterns.

Automatically email the weekly report to managers and team leads, highlighting most discussed topics, sentiment trends, and recommendations for future team discussions.