I fed ONE YouTube video into NotebookLM… and it turned into a guide, a slide deck, and a brand-new video. I broke down the whole process inside my community — and it’s free to join if you want to see how it works. https://www.skool.com/sqlanswers-skool-7210/google-notebook-lm-content-machine?p=a24ab559

Ever found yourself drowning in spreadsheets and chasing down missing details?That was exactly the situation one of my clients faced, a real estate data aggregator struggling to manage and enrich property records across multiple sources. The Challenge The client needed to automatically pull property details and enrich them with additional owner, director, and address information. Doing this manually was error-prone and consumed hours daily, slowing down decision-making. The Solution Using Make.com, I built a streamlined automation that begins with Google Sheets, makes HTTP requests to pull external data, manages cookies, parses responses, and uses a router to channel each data point where it belongs. Each detail, from owner names to individual emails—is cleanly updated into the right sheet, instantly. The Tools - Make.com (Integromat) - Google Sheets - HTTP Module - Text Parser - Router & Data Aggregation Tools The Hurdles Dealing with inconsistent response formats from APIs was tricky. Some APIs needed dynamic cookies, and others returned data in unreadable chunks. I built custom parsing rules and integrated conditional routers to ensure clean data flow. ✅ The Outcome The result? A fully automated workflow that updates property data every 15 minutes, no manual input required. The client now saves over 10 hours weekly, with data quality improving significantly. They were honestly relieved, calling it a "game-changer" for their operations. Who Needs This? Real estate firms, property tech startups, and data aggregation services looking to minimize manual work and maximize data accuracy. If you're dealing with messy data or time-consuming tasks like this, let's explore how automation can work for you. 🔁 I'd love your feedback or to collaborate on your next project.

Guys, what is the best automation you've built using ai agents in N8N?

Haven't made one of these posts here in a while, but wanted to check in to see how we can improve DumplingAI for you. If you have any feedback or ideas for new features or endpoints we should add, please comment below!

Worked on an automation recently to promote my SQL Answers skool community. It's implemented with n8n and Airtable. Was asked by someone to document so I created a video that I am sharing. https://www.skool.com/sqlanswers-skool-7210/classroom/012c8c2a?md=577cfe2185ce4b98bc38ba0296762c2f