
Improve Jev's accuracy on your data
Brussle calibrates AI decision from models like Jev about your data, runs it again when a record it read changes, and fits it again when the model changes. A correction is applied only when it beats the model on your held-out outcomes.
Brussle enhances the accuracy of AI models like Jev by recalibrating decisions based on updated data and model changes. Corrections are implemented only when they outperform the existing model on held-out outcomes.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.