How we built a real-time pharmacogenomic agent with Gemini Live and C++23 at 40 nanoseconds

This article was created for the Gemini Live Agent Challenge hackathon. The Problem Every year, 2 million people are hospitalized from adverse drug reactions. Around 100,000 die. Not from their disease — from the treatment. Most of these deaths are not accidents. They are written in the patient's genome, waiting to be read. A patient who is a CYP2D6 Ultra-Rapid Metabolizer converts codeine into morphine at 4× the normal rate. Prescribe standard codeine — you've ordered a fatal overdose. The doctor didn't know. The pharmacist didn't know. Nobody checked the genome. This is not a rare edge case. CYP2D6 Poor Metabolizers represent ~8% of the European population. HLA-B*5701 carriers — for whom abacavir causes fatal hypersensitivity — represent ~6% of HIV patients in Western cohorts. These variants are not exotic. They are common. They are documented. And they are routinely ignored at the point of prescription. Pharmacogenomic tools exist. They live in separate systems, require manual looku