Batch Testing

Batch testing is how you move from “this prompt seems to work” to “this prompt works reliably across a broad range of realistic inputs.” Instead of testing one prompt at a time in a playground, you run a full dataset of inputs through the model in a single job and analyze the outputs together. This reveals patterns invisible in single-response testing: a prompt might work for 90% of inputs but fail systematically on a certain type of phrasing, or on inputs with a particular topic combination. Batch testing is usually automated and forms the backbone of regression and evaluation pipelines. For behavior architects, the ability to test at batch scale is what makes behavioral iteration scientific rather than anecdotal.