Jev System Architect

Overview & Result

The skill helps a coding agent recognize patterns such as prompt → JSON → parser → retry and propose smaller Jev Choice, Noul, or Score boundaries while leaving execution and policy in application code.

How Jev fits in the loop

1. The coding agent inspects existing semantic logic and its surrounding code.
2. The skill identifies candidate bounded judgments and maps them to Jev primitives.
3. The developer decides whether to implement the boundary and how to handle uncertainty.

How to reproduce

1. Install or read the skill and run it against a small codebase containing a semantic parser-and-retry pipeline.
2. Record each proposed Jev boundary and the evidence in the code that triggered it.
3. Implement only one bounded decision and keep permissions, side effects, and execution in deterministic code.

Why this build matters

This is a foundational architecture case for explaining not just how to call Jev, but when Jev belongs in an agent system.

Limitations

• This is an architecture aid, not proof that every proposed boundary improves a production system.
• The skill cannot replace open-ended reasoning, code generation, or authorization logic.
• Every suggested boundary needs human review and a task-specific evaluation set.

Patterns