What is Jev?
Start with the model’s role, its output types and the limits of the available evidence.
Introductions, setup paths and architecture notes for working with Jev. Start with the basics or go straight to a question in your own workflow.
Start with the model’s role, its output types and the limits of the available evidence.
Find a setup path for a coding agent, browser workflow or your own application.
Follow the decision from application state to a typed result and an action in your code.
Understand the independent working note, its provenance and the context behind its claims.
Explore routing, tool selection, evaluation and related Agent settings. These notes explain design choices; project examples link back to the case catalog.
Which browser action should the agent take next, and has the task succeeded?
Which path should handle this state?
Which available tool is the best next action?
Did the agent complete the task correctly and safely?
Is this action allowed, safe, and sufficiently supported?
How do we make fast typed judgment available to the agent runtime?
Which documents, chunks, or entities match this unstructured query or indexing taxonomy?
What is the immediate reactive action or objection response based on live transcribed speech and state?
Is this generated patch safe, syntactically sound, and aligned with user repo constraints before execution?