I've spent my career building where the rules were still being written.

I began building technology in public service, developing early digital diplomacy programs at the U.S. State Department and advising the White House on reaching audiences in South Asia and the Middle East. The work required translating new tools into decisions that mattered, often before there was a playbook.

Later, I co-founded a venture-backed pediatric AI company that was recognized as a Fast Company World-Changing Idea. Building a company made the gap between having expertise and making it commercially useful impossible to ignore. You need to know what problem you solve, who will pay for it, and what makes your judgment worth trusting.

I've also built communities for people whose experience wasn't always reflected in the rooms where decisions were made. I founded EdTechWomen and helped build VC Backed Moms NYC. Along the way, I've worked with founders, executives, venture studios and teams navigating new technologies and changing institutions.

Today, I advise founders and venture studios, including as a strategic advisor at Promise Venture Studio, and have served as an entrepreneur-in-residence at Brown University. I work directly with AI in my own practice. That gives me a close view of what these systems can produce and where the human standard still has to be defined.

Across those settings, the question has stayed remarkably consistent: how do you take what a person or organization knows, make the judgment behind it legible, and build something durable from it?

That's the work of Te Cura Labs. For individuals, it might become a priced advisory offer, a venture, or a platform. For firms, it might become the documented standard their team and AI can actually use.

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