How Webflow’s CPO built an AI chief of staff to manage her calendar and drive internal AI adoption

2025-12-29 · Source: How I AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Project & Product Management · Depth: Intermediate, extended

Summary

Rachel Woolen, CPO at Webflow, has developed an "AI chief of staff" to automate repetitive executive tasks and drive internal AI adoption. This personal AI agent, built using "vibe coding" and running on local host, manages her calendar, preps for meetings and speaking engagements, and triages emails. For instance, it analyzes her calendar to suggest delegation opportunities and identifies areas where she might be overbooked or under-engaging with customers. The system integrates with Google Calendar and Gmail via API tokens, with carefully configured guardrails to limit its actions (e.g., read-only calendar access, draft-only email creation). Woolen also champions "builder days" within Webflow, where teams across design, product, data science, and engineering stop their regular work to build AI prototypes using tools like Cursor, Figma Make, and Webflow. These events, featuring warm-up assignments, support channels, judging panels, and prizes, aim to boost confidence and spark sustained AI adoption, yielding over 80 prototypes in a recent session.

Key takeaway

For AI Product Managers or Directors of AI/ML seeking to integrate AI into executive workflows and foster organizational adoption, consider developing bespoke AI agents for personal productivity, such as calendar and email management. Simultaneously, implement structured "builder days" or hackathons to empower teams across all functions to experiment and build AI prototypes. This dual approach—leading by example with personal AI tools and creating a supportive environment for team-wide experimentation—can significantly accelerate AI fluency and drive sustained, practical application of AI within your organization.

Key insights

Executives can build personalized AI agents to automate tasks and drive organizational AI fluency through hands-on "builder days."

Principles

• Personalized software enhances executive efficiency.
• Hands-on AI building fosters team adoption.
• Quantified prompts improve model calibration.

Method

Build personal AI agents for task automation (e.g., calendar, email, prep) using API tokens and markdown files for context. Drive team AI adoption via "builder days" with structured tracks, support, and incentives.

In practice

• Develop custom AI agents for personal productivity.
• Use markdown files for AI agent context and data.
• Organize internal "builder days" to boost AI skills.

Topics

• AI Chief of Staff
• AI Adoption Strategies
• Personalized AI Agents
• Executive Productivity
• Webflow

Best for: AI Product Manager, Director of AI/ML, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by How I AI.