Buying research increasingly happens inside AI assistants, not search results, where there is no rank and no console. We decompose 'AI visibility' into ~14 proprietary, formulaic metrics — embedding-alignment and token-probability style measures — so the question becomes diagnosable rather than opaque.

Transcribe-then-analyze discards almost everything that makes speech speech — tremor, hesitation, the hedged word. We route audio through a Praat phonetics sidecar to extract real vocal features, then fuse them with the transcript so feedback can say not just 'you hedged' but 'you hedged, and your voice confirmed it.'

A spec is decomposed into independently verifiable tasks; a runner dispatches agents that must pass a gate — format, lint, type-check, tests — before 'done' counts. Fleets run in isolated git worktrees so changes can't collide. Independent verifiability is the whole game.

A fast voice front-end talks to a patient and gathers detail; a separate supervisor service makes the triage decision against an established clinical protocol. The voice is never trusted to make the call — it gathers; the supervisor adjudicates and owns the record.

Routing a problem across multiple frontier models and reconciling their answers sometimes wins and sometimes just costs more. We study the production patterns that make an ensemble worth its overhead — and the cases where one strong default is the right call.

Regulatory corpora are long, dense, and unforgiving — a wrong or unsourced answer is worse than none. We index multiple corpora and pursue retrieval that returns answers a reader can trace back to the passage that proves them.

A question pursued with an academic collaborator: simulate populations on a spatial lattice and watch whether a shared language emerges, drifts, or fragments. A first version has shipped.

Many participants, shared state, GPU-rendered, in real time — the substrate question underneath collaborative simulation. We have an architecture prototype and a list of the constraints that actually bind.