Classification models have been around for literally almost a century at this point. I think it's safe to say they are a proven technology.
The only thing that makes Jev and the likes particularly interesting is that it is a general purpose classifier. In the past, classification tasks meant training a new model to solve your problem. Now you can just use an off the shelf general purpose model and hit the ground running.
the only thing novel about Jev is the incredible PR/Marketing push that they achieved
Even jev is not truly novel, but it's latency is, you can use a reranker and get the same things but not the same speed.
What’s the earliest classification model you know of?
But why does it need to be integrated with a minimal coding agent? Trying to support every possible thing that exists goes against being minimal.
>>The only thing that makes Jev and the likes particularly interesting is that it is a general purpose classifier.
General purpose classifiers have existed and proven useful for quite a while now. We used these last year. for vision and text both.