video1.0<iframe src="https://www.loom.com/embed/9200a5ab7f214aa28fbbf7845ed4523c" frameborder="0" width="1756" height="1317" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13171756Loomhttps://www.loom.com13171756https://cdn.loom.com/sessions/thumbnails/9200a5ab7f214aa28fbbf7845ed4523c-0beeb9b54625eaf5.gif660.417This Loom explains Covery’s agent cloud for running AI agents in production inside a team’s infrastructure rather than sending data and secrets elsewhere. It contrasts two options: exporting data to a third party or building and maintaining your own event receiver, scheduler, model wiring, and governance. The author demonstrates a “Build and Deployment Optimizer” agent that runs regularly, set to trigger every Monday morning, collects metrics, checks code, and proposes improvements via a pull request. The agent is configured with templates, model access (using Entropiq), Slack output webhook for a recap, and governance egress rules, then a PR link is shared after completion.