How we calibrate the scoring engine — every month, against real outcomes
Most interview-AI vendors run a model and never look back. We started with the opposite assumption: any model that doesn't track its own predictions against real hires is going to drift. Here's the loop we built, the metrics we publish, and what we do when fairness regresses.