Team

A Call for New Infrastructure

EverCurious AI is a research and practice initiative born from a simple, urgent conviction: we are living through the largest technological shift of our lifetime.

The lesson from the social media era is not that new tools are inherently bad, but that their most consequential impacts often arrive as second-order effects—shifts in behavior and belief that we failed to measure early. General-purpose AI is arriving faster, with far more persuasive power, and with a more intimate relationship to how we form conclusions.

If we do not study how cognitive authority is earned - and how human agency is lost - in these systems, we risk designing our way into dependence by default.

Why I am Called to This Work

My career has lived at the intersection of technological inflection points and human behavior. For more than 25 years, I have built, invested in, and led digital products used by millions. I have seen firsthand how interface choices shape attention and belief, and how quickly "helpful tools" can become default authorities.

The stakes are also personal. As a parent of three, it’s impossible not to notice AI arriving at both ends of the developmental pipeline at once: children still forming habits of learning and judgment, and young adults entering a labor market that will reward those who can think clearly with AI, not simply through it.

For that reason, EverCurious AI is not an abstract research agenda. It is urgent infrastructure for learning, work, and civic life.

A Practical Toolkit for Action

To meet this moment, I am leveraging a career's worth of multidisciplinary tools:

• Product & Systems Leadership: Having served as a founder, CEO, and Chief Product Officer, I understand the practical mechanics of how tools are built - and how they can be redirected toward curiosity and independent reasoning.

• Narrative & Translation: My background as both a founder and a filmmaker has taught me how to translate complex technical findings into work that people can actually absorb and act upon.

• Applied Research & Practice: To keep pace with the velocity of AI innovation, I maintain a practice of rapid experimentation—testing compelling use cases to unlock new creative possibilities and business value. In my filmmaking, I lead AI-driven production using generative video synthesis, high-fidelity image orchestration, and LLM-based narrative development. This practice informed my co-direction of a feature documentary that sponsored original research with NORC at the University of Chicago and Cornell on conviction, doubt, and authority. Separately, as the publisher of OnlySky, I lead a team using a specialized AI stack for narrative analysis, Python-based data visualizations, and editorial refinement—moving from structural outlines to high-fidelity media.

We do not need more speculation about what AI might do. We need field-grounded measurement and practical guidance that product teams and educators can deploy now, while new norms are still forming.

The Synthetic Research Lab

As principal investigator, I set the strategic roadmap and supervise an AI-assisted development workflow that translates the vision into research and practice outputs at scale. We use agentic tooling for deep evidence mapping, gap analysis, and rapid prototyping—intentionally using the technology to study the technology. This reflexive approach, refined through three years of hands-on applied AI practice, is an active search for the intersection where machine intelligence strengthens, rather than replaces, independent human thinking. 

All agent outputs are treated as drafts that require verification, citation discipline, and human judgment.

Collaboration

EverCurious AI welcomes research collaborators, advisors, and pilot testbeds for CDAI evaluations and reflective-interface pilots.

LinkedIn

Contact: info@evercurious.ai