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

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

How I AIDec 29, 202543m

Claire Vo (host), Rachel Wolan (guest)

Vibe coding as an executive skill multiplierAI chief of staff for an “N of one”Calendar read-only + delegation recommendationsGuardrails/permissions for agent actions (Gmail drafts, archiving, labeling)Markdown-as-database for personal/context docsEvent networking prep from screenshots + web/LinkedIn lookupBuilder days to drive sustained AI adoption (tracks, support, prizes, metrics)

In this episode of How I AI, featuring Claire Vo and Rachel Wolan, How Webflow’s CPO built an AI chief of staff to manage her calendar and drive internal AI adoption explores webflow CPO builds an AI chief of staff for executive leverage Rachel Wolan explains how recent “vibe coding” tools pulled her back into hands-on building, leading her to create a personal AI chief of staff app that supports just-in-time executive work.

Webflow CPO builds an AI chief of staff for executive leverage

Rachel Wolan explains how recent “vibe coding” tools pulled her back into hands-on building, leading her to create a personal AI chief of staff app that supports just-in-time executive work.

She demos concrete workflows: calendar analysis and delegation suggestions, “brutal truth” executive coaching, Gmail triage with guarded permissions, and dinner/event networking prep from a screenshot guest list.

A key design pattern is storing personal and company context as Markdown inside a repo, making it easy to render in a simple UI and reusable by agents.

Wolan then shifts to organizational adoption, describing Webflow’s builder days—tool access, structured tracks, on-call helpers, prizes, and measurement—to move teams from curiosity to sustained AI tool usage.

Key Takeaways

Build personal software for executive bottlenecks first.

Wolan targets repetitive, high-friction executive tasks (meeting prep, calendar triage, email overload) where even small time savings and better context dramatically improve daily effectiveness.

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Use tight permissions as the default guardrail for agents.

Her calendar integration is read-only, while Gmail is constrained to specific actions (draft, read, archive, label). ...

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“Brutal truth” prompting turns an assistant into lightweight executive coaching.

By instructing the agent to be harsh, she gets direct feedback (e. ...

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Separate contexts (multiple Claude sessions) to improve answer quality.

She runs different terminals for different task types to avoid bloated context and to keep similar questions grouped, which she finds yields more consistent outputs.

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Markdown files are a powerful, low-complexity knowledge base.

She stores “about me,” communication preferences, and product release summaries as Markdown in-repo, enabling easy UI rendering and making the same content reusable across agents without a database.

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Networking prep can be automated with multimodal intake.

A screenshot of a dinner guest list becomes structured research: identity matching, web + LinkedIn lookups, venue details, hot topics, and conversation starters tailored to her goals/context.

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Builder days convert AI curiosity into sustained adoption.

Webflow’s approach pairs a top-down mandate (e. ...

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Notable Quotes

You're a CPO with, like, no regular visible customer contact. Fatal flaw.

Rachel Wolan (AI chief of staff output, read by Rachel)

The brutal truth is... you're operating as a senior PM, not a CPO.

Rachel Wolan (AI chief of staff output, read by Rachel)

The number one skill you need to learn as an executive is improv.

Claire Vo

It would be inauthentic for me to tell them, 'Hey, you need to prototype with AI,' if this isn't something that I'm doing every single day.

Rachel Wolan

I call it getting blue-pilled.

Rachel Wolan

Questions Answered in This Episode

In your calendar analysis, what heuristics does the agent use to decide “make async” vs. “delegate” vs. “must attend,” and how would you encode those rules more explicitly?

Rachel Wolan explains how recent “vibe coding” tools pulled her back into hands-on building, leading her to create a personal AI chief of staff app that supports just-in-time executive work.

Get the full analysis with uListen AI

What were the specific Gmail failure modes (e.g., replying to SDR inbound) and what filters/labels/whitelists did you add to reduce misfires?

She demos concrete workflows: calendar analysis and delegation suggestions, “brutal truth” executive coaching, Gmail triage with guarded permissions, and dinner/event networking prep from a screenshot guest list.

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You mentioned Slack triage is “too much data”—what would a v1 Slack agent do (summaries only, priority queues, action extraction), and what’s the minimum viable scope that actually helps?

A key design pattern is storing personal and company context as Markdown inside a repo, making it easy to render in a simple UI and reusable by agents.

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How do you keep your personal/context Markdown up to date (e.g., monthly release-note summaries) without creating another maintenance burden?

Wolan then shifts to organizational adoption, describing Webflow’s builder days—tool access, structured tracks, on-call helpers, prizes, and measurement—to move teams from curiosity to sustained AI tool usage.

Get the full analysis with uListen AI

For the dinner workflow, how do you handle identity disambiguation (same name, wrong LinkedIn) and what confidence checks would you add before trusting the output?

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Transcript Preview

Claire Vo

So you've built yourself an AI chief of staff?

Rachel Wolan

The AI chief of staff is actually something that I have been trying to build since I started vibe coding. There's a lot of repetitive things that I have to do. For example, like prepping for podcasts and speaking engagements and stuff like that, and so I've built out an agent that preps me.

Claire Vo

Let's go into a specific workflow of how this chief of staff actually helps you with do something. I think you did a little prep for this podcast.

Rachel Wolan

I basically prompted and said, "Hey, let's generate a How I AI flow."

Claire Vo

Mm.

Rachel Wolan

And so I was trying to get it to tell me what should I actually demo that is going to be part of this chief of staff app? And then what actually ends up getting output is this. It gives me an executive summary. "Here are three different ways you could tell me about yourself and Webflow."

Claire Vo

Just the ability to be prepped, even in a few minutes ahead of these things, can really make your life better. [upbeat music] Welcome back to How I AI. I'm Claire Vo, product leader and AI obsessive, here on a mission to help you build better with these new tools. Today's episode is all about the AI native executive. We have Rachel Wolan, CPO at Webflow, who's gonna show us how she uses AI, Claude Code, and personal software to run her life and her business day using AI as an executive. She's also gonna show us her formula for teaching teams how to use AI, drive adoption, and get them in those new tools with excitement. Let's get to it. This episode is brought to you by Graphite, the AI-powered code review platform, helping engineering teams ship higher quality software faster. As developers adopt AI tools, code generation is accelerating, but code review hasn't caught up. PRs are getting larger, noisier, and teams are spending more time blocked on review than building. Graphite fixes this. Graphite brings all your code review essentials into one streamlined workflow: stacked diffs, a cleaner, more intuitive PR page, AI-powered reviews, and an automated merge queue, all designed to help you move through review cycles faster. Thousands of developers rely on Graphite to move through review faster, so you can focus on building, not waiting. Check it out at graphitedev.link/howiai to get started. That's graphitedev.link/howiai. Rachel, welcome to How I AI. The reason why we are doing this podcast together is we were sitting at a very recent San Francisco-based AI event, and we were talking about how so much of the discourse is around the AI native PM, the AI native engineer, basically, like the AI native IC, and we spent a lot of time on that topic here at How I AI. But you and I have been chief product officers, and we wanna talk about the AI native executive, and I think your workflow and the tools that you have built yourself are such a great example of somebody with, you know, as I say, a very fancy C-level title, who is actually leaning into not only getting hands-on with these tools, but building things that help them do their job better with AI. So how did you get here? Because I will tell you, not every executive is as into this as maybe you and I are. So what kind of clicked in your mind to get you thinking like, "My job's gonna change. I really gotta figure this stuff out"?

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