Hey everyone — I’m building RootBrief, a small monitoring layer for automation workflows. The problem I’m trying to solve is the “successful but wrong” workflow case: - the automation run technically succeeds - the platform shows a green/successful execution - but the upstream API returned stale, incomplete, or unexpected data - and the downstream result is still wrong I originally ran into this while using n8n/Make/Zapier-style workflows in production. RootBrief is meant to help teams monitor not only failed executions, but also suspicious successful runs — for example, stale outputs, missing expected fields, repeated failures, or abnormal workflow behavior. I’d love feedback from people building or running automations: How are you currently monitoring workflows after deployment? Do you rely on platform-native error handling, Slack alerts, custom checks, or external monitoring? Site: https://rootbrief.com Happy to hear any feedback — especially if this problem is something you’ve run into before.