This week on How I AI: How Webflow’s CPO built an AI chief of staff

· Source: Lenny's Newsletter · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Project & Product Management · Depth: Intermediate, extended

Summary

Rachel Woolen, CPO at Webflow, demonstrates her "AI Chief of Staff," a personalized agent-based system built using vibe coding to manage executive tasks. This system, developed over a year, automates podcast prep, morning calendar triage, email management, and even dinner networking research. It integrates with Google Calendar and Gmail via API tokens, with carefully configured guardrails for read-only calendar access and draft-only email creation. Woolen also details Webflow's "Builder Days," an initiative to drive AI adoption across product, design, data science, and engineering teams. These events involve organization-wide prototyping with tools like Cursor, Figma Make, and Webflow, supported by engineers, judging panels, and prizes, resulting in over 80 prototypes and significant increases in AI tool usage and team confidence.

Key takeaway

For CPOs and executives aiming to enhance personal productivity and scale AI adoption across their teams, building custom AI agents can significantly streamline daily operations like meeting prep and calendar management. Your organization should consider implementing structured "Builder Days" or hackathons, providing tools, education, and incentives to foster hands-on AI experience and drive sustained engagement, ensuring teams are not just aware of AI but actively building with it.

Key insights

Executives can build personalized AI agents to automate routine tasks and drive organizational AI fluency through structured "Builder Days."

Principles

Method

Develop AI agents for specific executive workflows (e.g., calendar, email, prep) using API tokens and markdown for context. Implement "Builder Days" with tools, support, and incentives to scale AI proficiency across teams.

In practice

Topics

Best for: VP of Engineering/Data, Executive, Product Manager, CTO, Director of AI/ML, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Lenny's Newsletter.