An expert would never sign off on a result they couldn't defend, and we hold our code to the same bar. Determinism, reproducibility, and a replayable record are the definition of done here, not compliance checkboxes. We'd rather ship the plain thing that holds than the clever thing that doesn't.

We build systems where the expert stays the authority, and that shapes the architecture. The people who know the work set the rules and the thresholds, and the model earns its signature from them rather than replacing it. When a design decision touches that line, we ask an expert, not a spec.

We work where general AI can't go, in regulated environments with standards like 21 CFR Part 11, GxP, and SOC 2 Type II. We design for them from the first commit, not a compliance pass at the end. We treat the constraint as the specification. If it can't pass an audit, it isn't done.

We take an empirical approach and care about the size of our impact, not the sophistication of our methods. We reach for the simplest solution that holds, ship it, and let real production data tell us what to fix next. We don't build a spaceship when a bicycle will do.

We measure our work by whether people can depend on it in production, not by how novel it was to build. The feedback loop that matters is real usage in the field, and the high-stakes decisions riding on what we ship. That's how we set priorities.

We're a small team, so we communicate kindly and directly and assume good intent even when we disagree. Everyone contributes, regardless of title or tenure. If something urgently needs doing, the right person to do it is probably you.