We design AI interactions
that feel right.
Because the relationship between humans and AI is a design problem — not just an engineering one.
What we believe
AI shouldn't pretend to be human. Honesty about what a system is — and isn't — is where trust starts. Mimicry erodes it.
Uncertainty is where the interesting work starts. We don't have all the answers. Neither does anyone else. That's the starting point, not a problem.
Constraints are generative. Ethics, safety, and restraint aren't obstacles to good AI — they shape it. Intelligence shows in what a system chooses not to do.
AI should amplify what's human, not replace it. The goal is unlocking what's uniquely yours — your creativity, your judgment, your voice. Not automating it away.
From our practice
Design
Personalized AI collaborators
Prompt engineering and context engineering to design AI personalities adapted to individual cognitive styles — making AI collaboration feel natural for neurodivergent users, not just neurotypical defaults.
Research
Synthetic research datasets
Designed a pipeline to create voice data that didn't exist — generating high-quality synthetic datasets that unblocked a research team from work they'd been stuck on for months.
Advisory
Agent communication methodology
Designed an experimental workflow for AI coding agents to communicate intent in an auditable, transparent way — making multi-agent systems legible to the humans overseeing them.
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