video1.0<iframe src="https://www.loom.com/embed/bf57aeb9f08f4ae0adf829a9bcc088cd" frameborder="0" width="2040" height="1530" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>15302040Loomhttps://www.loom.com15302040https://cdn.loom.com/sessions/thumbnails/bf57aeb9f08f4ae0adf829a9bcc088cd-7dbc454f75c28e12.gif1306.141This Loom explains how to build a practical AI system for marketing and sales rather than using AI in a frustrating, ad hoc way. The framework has five layers: context, skill, workflow, automation, and feedback, moving from shared institutional knowledge to repeatable work, triggered processes, and continuous improvement. It contrasts outputs with and without a context library, showing how company specific information like ICPs, positioning, and objections makes responses more targeted. It also highlights common failure modes such as not having a clear source of truth, no owner after launch, and treating generated output as truth, emphasizing that feedback reduces hallucinations over time.