A test that randomly shows people different AI versions to compare results.
It is a taste test for AI. Two groups get different recipes. The one people like wins the menu spot.
It helps pick a model or prompt before launch. Real users can surprise your neat spreadsheet.
AI Model Selection
AI A/B Testing uses real user feedback to compare model choices.
Evaluation harness
AI A/B Testing adds real user checks beyond offline scores.
Model regression
AI A/B Testing can show when a new version feels worse to users.