These are essentially zero-shot classifiers; they don't need to be trained for a specific classification task. You could include some natural language context on the rules for classification and it should get good enough accuracy.

The pitch is that it's a fully-general model, so you can skip training/tuning/selecting a particular categorisation model for each task.