About
I am Alvis Tang: an AI founder, mathematician, and product thinker working on systems that help people remember what matters, act with clarity, and keep meaning inside increasingly automated work.
I like the territory between proof and prototype: the moment where an idea is precise enough to test but still alive enough to surprise you. That is where I find most of my energy as a founder.
The work I keep returning to is context. Not context as a longer prompt, but as the living substrate of useful intelligence: memory, provenance, accountability, timing, taste, and the human reasons behind action.
I care about AI because it can become a leverage layer for human purpose. I am cautious about it for the same reason. Tools that can act for us need to be designed with a deeper respect for authorship, trust, and the shape of meaningful work.
Mathematics
Mathematics shaped the way I work: define the object carefully, follow the constraints, and notice when a simple answer hides a more interesting system. That instinct still drives how I think about products, companies, and AI agents.
Complexity
I am drawn to problems where behavior emerges from many small interactions: teams, tools, markets, careers, memory, culture. Complexity science gave me language for systems that cannot be understood by flattening them.
Product
A product is not only a bundle of features. It is a set of judgments about what should be easy, what should remain visible, and what kind of person the user gets to become while using it.
Founder
My current work circles around context-aware AI, virtual employees, provenance, and the future of meaningful work. I want software that gives people leverage without making them feel less authored.
