Starred apps and Disconnected modules on Make: Build an E-commerce Order Tracker

In this practical walkthrough, Sarah builds a real ecommerce order-tracking scenario from scratch, using it as the backdrop to show two workflow habits that will save you time on every build: starring your go-to apps and modules, and testing disconnected modules before wiring anything together. 🔍 Inside the Build: * Starred Apps & Modules: See how starring frequently used apps (like Gmail, Airtable, and Set Multiple Variables) surfaces them instantly when adding a new module, cutting down on search time. * Testing Before Connecting: Sarah demonstrates copy-pasting a module and running it disconnected — with manually filled-in test data — to confirm it behaves as expected before linking it to the rest of the scenario. * Extracting Data with AI: Watch Sarah use the Make AI Toolkit's "Extract information from text" module to pull a tracking number and order number straight out of an email body. * Searching & Updating Records: Sarah searches Airtable to confirm an order exists, then updates that same record with the tracking number, dispatch status, and sent date — all validated step-by-step before the final run. * Cleaning Up as You Go: A refreshingly honest moment where Sarah realizes a variable module was unnecessary and removes it, keeping the scenario lean. Sarah's mission is to show that building confidently doesn't mean building slowly — testing each disconnected piece first means fewer surprises when you run the full flow. This video is a perfect blueprint for builders working with ecommerce order data, or anyone who wants a smoother day-to-day building habit. 🛠️ Featured Stack: * Gmail (Watch Emails trigger) * Make AI Toolkit (Extract information from text) * Airtable (Search Records & Update Record) * Set Multiple Variables (Starred tool for storing extracted values) 💡 Pro-Tip from Sarah: "Test disconnected modules with sample data before linking them." Sarah highlights that you don't need a module connected to the rest of your scenario to confirm it works — filling in test values directly lets you validate each step in isolation, so you know exactly what's working before you wire it all together.