Why I Joined micro1

When I tell people what micro1 does - connecting the world's best human experts to the AI labs building frontier models - the first reaction is usually about scale, or talent, or the race itself. Mine was different. I thought about trust and security.

Because here's what becomes obvious the moment you look closely at this work: the data flowing through a platform like micro1 is among the most sensitive in the entire AI supply chain. It isn't scraped from the open web. It's created live, by lawyers reasoning through real cases, by doctors working through real diagnoses, by engineers and finance professionals applying judgment that exists nowhere else. Every data point carries the fingerprint of an expert's mind. Protecting that is not a feature. It's the foundation of AI models.

That's why I joined.

The AI race is often described as a battle for compute and a battle for researchers. Both are real. But there's a quieter dimension that doesn't make headlines, and it's the one I find most compelling: the question of who can be trusted to handle expert human intelligence responsibly. As this data becomes the fuel for frontier models, the platforms that move it inherit an enormous obligation. We sit between thousands of experts and the companies shaping technology that will touch hundreds of millions of lives. Mishandling that position isn't just a business risk. It's a breach of faith with the people who trust us, and with the society downstream of every model we help improve.

I came to micro1 because the company treats that obligation as central rather than incidental.

Security in AI is frequently bolted on after the fact - a compliance checkbox, a document produced for an audit, a control added once something has already gone wrong. I've spent my career convinced that this gets the order backwards. Trust has to be designed in from the beginning. It lives in how access is granted and revoked, how data is segmented and deleted, how incidents are anticipated before they happen, and how seriously a company takes its commitments when no one is watching. These are not glamorous problems. They are tedious, detailed, and unending. They are also exactly the work that determines whether expert data fuels progress or becomes a liability.

What struck me about micro1 is that the experts themselves understand this intuitively. Their willingness to contribute their hardest-won knowledge depends entirely on believing it will be handled with care - that their work will go to the right customers, be protected with rigor, and never be treated carelessly. Expert happiness, which sits at the heart of everything micro1 does, is inseparable from expert trust. You cannot retain brilliant people while being cavalier with what they give you. The two rise and fall together.

There's also a larger principle at stake. micro1 has made a deliberate choice about which customers it will serve, recognizing that where this data goes matters as much as how much revenue it generates. I find that conviction rare and worth defending. A platform that takes seriously its responsibility over the destination of expert intelligence is, almost by definition, a platform that takes security and trust seriously. The two instincts come from the same place.

We are going to onboard millions of experts in the years ahead. Each one will be making a decision to trust us with something valuable and irreplaceable. My job - and the reason I'm here - is to make sure that trust is never misplaced. To build the controls, the processes, and the culture that let brilliant people contribute without hesitation, and let our customers know that the fuel they receive was handled with the seriousness it deserves.

The AI race will be won on capability. But it will be sustained on trust. I joined micro1 to help build the part that lasts.