video1.0<iframe src="https://www.loom.com/embed/c5f6c89b99c445e49fc9e34d505993c7" frameborder="0" width="1290" height="967" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9671290Loomhttps://www.loom.com9671290https://cdn.loom.com/sessions/thumbnails/c5f6c89b99c445e49fc9e34d505993c7-b78b8d64060fc95e.gif333.377This Loom explains how to set up the Scribe content engine by building a knowledge base and configuring idea generation. It recommends filling a knowledge base with everything used to write content, leveraging existing assets like blog posts, YouTube, podcasts, and newsletters, and optionally syncing knowledge via tools like Notion, Google Drive, or webhooks (for example, connecting sales calls). It then turns on a content check-in so the personal assistant can request additional content questions. Finally, it uses the explore page where an ideation agent draws from LinkedIn analytics, about 50 million posts, and sources like competition, industry signals, newsletters, and sales calls to suggest ideas and even recommend which image format to use, prioritizing outlier topics based on performance.