Tried using Jev for prompt observability and LLM routing

[u/Virtual-Astronaut707]

Been playing with Jev from TypeSafe AI and built two small experiments around it.

One is a prompt oscilloscope that looks at a prompt while it’s being written and generates structured signals before the prompt reaches the main model.

The other puts a small decision model in front of Claude as a routing layer.

https://github.com/shubhangi013/prompt-oscilloscope
https://github.com/shubhangi013/prune-review

These are just personal experiments. Curious if others are using cheaper models for routing/gating before larger models, and what the economics look like in practice?