{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0c14e803c42a4d03b69e67495027471b\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0c14e803c42a4d03b69e67495027471b-a2098424aa06d6f3.gif","duration":284.566,"title":"DataBard Builds AI Podcasts for Data Health","description":"Hi, Papa here, I am DataBard, built with Kiro. I built an AI workflow that connects your data catalogs like OpenMetadata and dbt, analyzes schema health, failing tests, image less risks, and governance gaps, then turns it into an AI podcast plus a shareable report. It also generates a multi layer visual health dashboard and accountability cards using MCP and a Paper desktop open. We even generate an RSS feed, and you can view a demo episode from an e commerce schema. No action is specifically requested, just check out the demo."}