Its use case is still pretty narrow, just like Jev. The only time Jev could make sense is if you want thousands of requests per second and can sacrifice a bit of accuracy. Otherwise, modern LLMs are super cheap, like GPT-6 Luna, GLM-5.3-Flash, or even Gemma 4, and reason much better than Jev with better accuracy while being perfectly capable of returning structured JSON. So it’s basically enforcing typed answers with lower accuracy vs. occasionally getting the response format wrong but having better accuracy.
Its use case is still pretty narrow, just like Jev. The only time Jev could make sense is if you want thousands of requests per second and can sacrifice a bit of accuracy. Otherwise, modern LLMs are super cheap, like GPT-6 Luna, GLM-5.3-Flash, or even Gemma 4, and reason much better than Jev with better accuracy while being perfectly capable of returning structured JSON. So it’s basically enforcing typed answers with lower accuracy vs. occasionally getting the response format wrong but having better accuracy.
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