Jev can't guarantee results without training; you have to test on your own data
The author says Jev is a general-purpose classifier that can't promise results up front, so users must test it on their own data and criteria, though it does return confidence scores and is fast.
Another good question on Jev that keeps popping up: "If I don't need to train it, how can I be sure it works?" The answer is: you can't. You need to test it on your data and your criteria and verify that it works for you. It's a one-size-fits-all classifier. Just like you can't know whether an LLM's output is correct, you can't know with Jev either. But at least you get a confidence score, and it's fast.
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