Systems
From laptop sessions to a model you can ship
Capture, clean, train, measure, deploy. The artifact is weights, not a forever API hop.
The loop is simple on purpose. Record private sessions. Clean them into examples. Train a small specialist. Measure it. Feed production misses back in.
Because the output is a model file, you can run it where the work lives: VPC, workstation, device. You don’t have to bounce every decision through a remote frontier API.
Train near the data. Run near the user. Keep the weights. That’s the whole architecture pitch, without the mystique.