Things to try with Jev right now:

1. LLM-as-a-Judge evaluation
2. Routing for agent harnesses harness
3. Scaling agent orchestration by enabling smarter subagent creation with SOTA classification capabilities
4. Enhance dynamic harness generation where structured outputs are key

The first three deliver insane ROI in cost and efficiency.

For harness engineering, I'm using it as a smarter router for my meta harness. More on this soon.

But honestly, I see other cool applications for improving tool calling and other context-engineering aspects of agents with this model.

The fourth is something new I am currently testing but has huge potential to disrupt and enhance agent orchestration in new ways.

All in all, this feels like an important primitive for improving your agents.

If there is interest, I will write more about this in the coming days and share full guides. Let me know.