Automated Keyword Extraction and Tracker Using AI Agents and Cloud Databases

In this video, I showcase an automated keyword extraction and tracking system using AI agents and cloud databases. The workflow leverages Make.com, Browse AI, Neon, and Firebase to extract news articles from Google based on specific keywords, analyze the content, and store structured insights in real time.

I forgot to mention this in the video but along the way, I ran into a few integration challenges with connecting Neon (PostgreSQL) and Firebase to Make. To solve this I rigorously followed each platform’s documentation line by line which helped debug authentication and schema issues. I also discovered that setting up Firebase directly (instead of relying only on Google Firestore) was necessary to get collections and tables to sync and display correctly. Hope you enjoy these insights, thank you!

Видео Automated Keyword Extraction and Tracker Using AI Agents and Cloud Databases канала AJ's Workflow Studio