Show me a single example how is this jev thing better than a modern Bert solution?

Or even llm if you claim about versatility. You can easily modify the llm inference code to make it predict a single token represent the classification choice and extract the probability that way.

Sure jev will still be faster, but a local deployed Bert model is way faster than both.

And to get the most out of it you still need to fine tune the models anyway, unless your classification task is just one of those mainstream ones.