Blog

Notes from building AI that has to hold up under review.

What we learn shipping governed AI, observability and recruitment systems inside regulated clinical environments.

AI for clinical trials

Chatbots vs. Decision Models: Choosing the Right AI for Clinical Trials

Much of a coordinator's day isn't writing — it's small, repeated decisions. Where decision models fit, where chatbots still win, and why a polished answer can still be wrong.

October 2026 · 6 min read

Read the article →

AI architecture

Model-Agnostic Architecture Is a Scalability Decision, Not Just a Flexibility One

Being tied to one LLM provider is usually framed as vendor risk. The bigger issue is scale: cost, capacity, availability and how much of the application you'd have to rebuild when something changes.

September 2026 · 7 min read

Read the article →

AI observability

LLM Audit Logging: Why AI Observability Is Different

Traditional logs tell you that something happened. AI observability should help you understand the conditions under which it happened — without turning your audit trail into a second data risk.

August 2026 · 6 min read

Read the article →