Hey Everyone 👋 🎯Two big wins in this release: MotherDuck is now a fully supported data store 🦆 and pipeline failures come with an AI-generated explanation built right in 🤖, so you can spend less time digging through logs and more time fixing the actual problem. ☁️ If you'd rather leave pipeline maintenance to someone else entirely, Meltano Cloud is worth a look: fully managed connectors, direct access to the team, no support queue. 🚀*Here's what's new* ✨ Features • MotherDuck as a data store: Target, state store, and full dbt transformer support are all in, so you can load and transform straight into MotherDuck without extra plumbing. • SurveyMonkey authentication: Now supports authenticating via a private app, so you can get your survey data flowing without workarounds. • Scoped SharePoint access: The SharePoint spreadsheets tap now connects using your own Azure AD App Registration, so you decide exactly which files and sites Meltano can reach instead of granting broad access. • AI-powered pipeline diagnosis: Hit "Diagnose" right from the pipeline view when a run fails and get a plain-English explanation of what went wrong, instead of digging through raw logs yourself or take the ready-made prompt if you'd rather hand the fix off to your own AI tool. • Improved status reporting: Runs that recovered on retry are now tagged as warnings instead of errors, so your logs only flag what actually needs your attention. 🐛 Fixes • Invitations crash fixed: Workspace admins can now invite new members without hitting an error on the invitations page. • Bumped tap-mysql to v2.0.0: Fixes a LOG_BASED column mapping issue that could surface after a schema change. • Connector updates: tap-bing-ads bumped to v0.4.0, and the Snowflake state backend updated in Meltano Cloud Enterprise. 🎉That's a lot shipped in one go: a smarter data store, a new connector to work with, and AI doing the debugging for you. Keep the bug reports and feature nudges coming, they're exactly what shapes releases like this one! 📚 Curious how Meltano Open and Cloud stack up? It's all in the Meltano Documentation. 💬 Have an idea, a question, or just fancy a chat about your data stack? Grab a slot here and we'd genuinely love to hear from you!