In the face of overwhelming content requests, a solo content designer at Intercom introduces an AI-driven content design assistant named VERBI to enhance efficiency and maintain quality without diminishing critical thinking. VERBI leverages a well-structured system, drawing on internal resources such as style guides, glossaries, and product messaging guides, forming a retrieval-augmented generation (RAG) model. The designer faced initial challenges in integrating the system with live resources, eventually using Glean's Indexing API to connect the AI with Intercom's design system hosted on Storybook. With task prompts and system rules in place to guide VERBI's responses, the AI agent successfully enforces content standards, reduces repetitive tasks, and allows the designer to focus on higher-impact work. The implementation of VERBI has led to faster iterations, increased consistency, and strategic clarity, ultimately improving the design process by ensuring content quality and enabling the team to focus on refining design elements collaboratively. The AI's value lies in accelerating the transition from a blank slate to a complete design, demonstrating that great AI outcomes stem from well-considered human decisions.