@joshtheaiguy@omarsar0 that's the whole idea. and if you ever want a say, tell Jev in plain English on the JevRouter page, like "use Astra for backend", and it sticks
@King_of_Calera@omarsar0 Jevs only read, they never write. each one scores its own slice, and the pick happens once after the votes are in, so there's no shared state to race on. then one model runs the task at a time, so nothing races on your code either
@omarsar0 this is exactly what we built it for. one session, the right model on each part, and you never touch the picker. thanks for putting it through a real build
@Av1dlive@straitlyai Yeah, but it has to be done right. The next version will be fine-tuned with 256k context to reduce parallelization.
I really think this is the future of LLMs: a mixture of models, routed on demand for specific use cases.
This is JevRouter.
99% of Opus 5.5 and GPT-6 Astra's intelligence, for 40% of the cost.
Hundreds of Jevs read your ENTIRE request and analyze every single benchmark across all models to match you with the perfect model.
Enjoy 30% off all frontier models
Glossed over in every success story is a period of wandering curiously into the unknown
You must make time to wander
That is where all great stories begin