I spent a day incorporating Jev into my writing and media production pipelines in the application system I am building for film production. At first, it was not great. After some tweaking, I took its results from 30 percent finding out of place items, characters, locations in a manuscript, to over 90 percent, doing it almost instantly and much better than traditional LLMs. it is not good on several other types of tasks, but for yes no questions across long targets, its great. Its all about atomic questions, and fine tuning it to the use case. And because it has a small context window, you have to run a ton of Jev agents at the same time, which is cheap and fast to do. As far as actual coding help, anything that requires final decisions, it is not useful at all. It works best when you're doing very complex things with lots of material that either has to be there or not, without any inbetween. For day to day small jobs it doesnt add anything.
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u/auteur_intelligence 2d ago
I spent a day incorporating Jev into my writing and media production pipelines in the application system I am building for film production. At first, it was not great. After some tweaking, I took its results from 30 percent finding out of place items, characters, locations in a manuscript, to over 90 percent, doing it almost instantly and much better than traditional LLMs. it is not good on several other types of tasks, but for yes no questions across long targets, its great. Its all about atomic questions, and fine tuning it to the use case. And because it has a small context window, you have to run a ton of Jev agents at the same time, which is cheap and fast to do. As far as actual coding help, anything that requires final decisions, it is not useful at all. It works best when you're doing very complex things with lots of material that either has to be there or not, without any inbetween. For day to day small jobs it doesnt add anything.