What it does
For its row-filter example, the maker reports 1.3 seconds with Jev versus 48.9 seconds through the Claude CLI.
Benchmarks & research
jev-harness adds confidence gates, shadow runs, reusable recipes, and evaluations around Jev decisions.
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For its row-filter example, the maker reports 1.3 seconds with Jev versus 48.9 seconds through the Claude CLI.
Your developer can use this code to handle server warnings. The app sends a computer error to an outside AI service. It asks the AI how bad the error is and whether to alert a human.
You can set a rule to wait for a person if the AI is unsure. You can also run the tool silently to record its choices without changing live systems. This safety check only works when the AI accurately reports its own uncertainty.