Building a Codebase Classifier with Jev
A developer shares building a codebase classifier with Jev, suggesting it may solve overengineered code from agents, and asks what to test next.
Desert Ant Labs shows a quick demo combining Jev with on-device models: Ear detects language, Voz transcribes, Redact removes PII, and Jev makes about 20 decisions in one call without an LLM in the loop.
Jev + on-device models = results in seconds with no LLM in the loop. Quick demo app to show the possibilities. Drop in an audio file: Ear detects the language, Voz transcribes it and Redact removes PII. Then @typesafeai's Jev makes about 20 decisions in one call in