Make's Error Explanation with AI : A New Way to Debug Faster

In this hands-on tutorial, Volker brings in an unexpected co-host — his daughter Annika, who first introduced him to Make back in 2022 — to put the new Error Explanation feature to a real test. Volker intentionally breaks his own HubSpot scenario, and Annika tries to diagnose the raw error message cold, before the feature steps in to translate it into plain English. 🔍 Inside the Build: * The Setup: A simple scenario that creates or updates a HubSpot record and assigns a lifecycle stage using data from an incoming webhook. * Sabotage #1 — Invalid Field Value: Volker changes the lifecycle stage to a value HubSpot doesn't recognize, producing a cryptic native error. Annika reads the raw message first — and is stumped. * The Reveal: Clicking "Explain the Error" translates the failure into human language, clearly stating which field caused the issue and what values are actually accepted. * Sabotage #2 — Empty Search Result: A second scenario searches for a contact and updates it, but the search returns zero results, causing a required-field error downstream. Annika reasons through the raw message but again finds it unclear until the explanation feature clarifies that no contact was found. * The Verdict: Annika confirms that the plain-language explanation is far more useful than the original error for anyone without deep platform experience. This video is a great blueprint for teams onboarding non-technical members onto Make, or anyone who's ever stared at an error log with zero idea what went wrong. 🛠️ Featured Stack: * Make (the orchestration platform) * HubSpot (record creation/update, lifecycle stage assignment) * Error Explanation feature (AI-powered error diagnosis) 💡 Pro-Tip from Volker: "The debugging step doesn't have to intimidate anyone — even if the raw error means nothing to you, the explanation puts it in normal people's English." It's a reminder that this feature isn't just a shortcut for experts; it lowers the barrier for anyone new to the platform to self-serve on troubleshooting.