Jev provides an independent lab to explore evaluation models for applications. This platform features six interactive experiments covering critical decision points such as task routing, scoring, context selection, agent next steps, startup assumptions, and evidence checks. Users can inspect detailed outputs including Choice, Score, and Boolean probabilities, understanding how these signals can be integrated into TypeScript policies.
The lab includes synthetic previews for immediate feedback and allows for code export, enabling seamless integration into development workflows. There is no sign-up required to explore the functionalities, making it easy to experiment with different scenarios and evaluate model behaviors.
Jev focuses on returning precise evaluation signals; the ultimate decision-making and action-taking remain within the user's application logic, allowing for flexible and customized policy implementations. This setup is ideal for developers and engineers building complex systems requiring robust internal evaluation mechanisms, ensuring applications make informed and reliable choices based on structured input analysis.
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