video1.0<iframe src="https://www.loom.com/embed/dc325b42a4b54c50b1e5cdea3964e66a" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/dc325b42a4b54c50b1e5cdea3964e66a-91d39abab847d6b8.gif372.68This Loom demonstrates how Brew creates on-brand email campaigns and automations from natural language. It starts by connecting a brand via a website URL, then Brew crawls the site to extract voice, positioning, colors, typography, layouts, and imagery, and vectorizes visual assets into searchable memory to improve output accuracy over time. The demo shows generating multiple newsletter design alternatives with creative direction while staying on brand, including research-driven newsletters using external context. It then covers editing via direct manual changes or iterative prompts that strengthen elements, animate images, shorten copy, or swap assets while preserving layout. Finally, it shows a real customer workspace where many on-brand emails and variants are managed across campaigns and sequences, and notes that Brew also supports API access for agents to generate production-ready emails.