Words matter in genetics. The names and labels we give genes determine how biology is studied, modeled, funded, and explained. When those labels are incomplete, biased, or treated as fixed truth, they do not merely describe science — they steer it. Quietly. Systematically. Over generations.
We reject that. Annie, our AI annotation system, treats the genome as a record of ancestry and adaptation — not a fixed reference. Biological meaning is contextual, evolutionary, and permanently open to revision. Not because we are uncertain, but because the genome is not a finished document. It is a living record, and Annie reads it honestly.
Annie runs on the House Science operating layer, and works the way every tool here will: you describe the science you want in plain English, and what happens next stays inspectable, reproducible, and yours. Students to clinicians, no engineering team required. The rest we will show you, not tell you.
Better explanations produce better science. Better science should produce better care. That chain of accountability is the standard our tools are held to.
