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.
Turn Jev Queries into Fast Task-Specific Classifiers
Shows how to save Jev results, run npx jimothy train, get a 15-45 MB model, run it server-side or in-browser, and fall back to Jev anytime.
You can automatically turn your Jev queries into tiny task-specific classifiers that run 10-20x faster! - Start with Jev, save the results - Run npx jimothy train - Get back a 15-45 MB model - Run on the server or in the browser - Fall back to Jev anytime - Repeat Demo:
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