About

I've spent 20 years in rooms where polished presentations and theory don't cut it. Context and proof points. Do I know what great looks like.

Salesforce during Dreamforce's growth from 10,000 to 90,000 attendees. Rebranded AppDynamics for an IPO that became a $3.7 billion Cisco acquisition. CMO at Five9, LogicMonitor, Egnyte. Teams from 5 to 82. ARR growth from $120M to $420M. 75 slides of pipeline data, conversion funnels, and ROI by channel that I can actually walk through.

I say all that because it matters for what comes next.

In 2025 I started vibe coding a personal brain. Model agnostic. Personalized context for automated and authentic decisions. A cognitive OS that runs my calendar, email, finances, health, career pipeline, and content production.

I wrote a bunch of articles about what I found and the AI was doing what I was fighting against. It was smoothing out my voice. My stories and findings were there but it wasn't quite me. So I built a scoring system to make sure there's a gate on the content I produce. You'll see at the bottom of my posts that this was built with a human in the loop.

I also spent a lot of time keeping up with the technology loop. Switching things out, adopting automations, trying to scale and run faster. That was a race to the bottom. I took a step back and refocused on the mission, not the output.

What I write about comes from operating, not observing.

What I'm focused on

• The sycophancy problem. AI is optimized to agree with you. 80% of people follow faulty AI advice when it sounds confident. I test what happens when you build friction back in.
• The operator gap. Anyone can scrape together content and automate creation. What I don't see is people with 10-20 years of experience sorting through what's clickbait and what's actually useful in business environments.
• AI governance that works in practice. Not compliance checkboxes. Architecture that makes AI honest under pressure, not just in a demo.

Based in the San Francisco Bay Area.