video1.0<iframe src="https://www.loom.com/embed/a1f2ebf2a6d7467292725d5312d05459" frameborder="0" width="1308" height="981" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9811308Loomhttps://www.loom.com9811308https://cdn.loom.com/sessions/thumbnails/a1f2ebf2a6d7467292725d5312d05459-457c51de20cbd10f.gif205.667This Loom explains a scheduled automation for real estate deal intake and daily deal reporting. The first job scans the Gmail inbox for the past 24 hours, looking for keywords like off-market and in-subject offering OM, plus PDF attachments and known broker domains, then extracts financial details and scores each deal as hot, warm, or cold with a written rationale and checks for duplicates before creating a Notion deal pipeline entry. It ran yesterday and found one dummy email. The second job sends a daily digest: one hour after intake it reads new Notion entries, groups deals by lead score (hot first), and composes a formatted Gmail draft for review and sending with a sign off.