Jev-Style Classifiers: Letting Agents Build Fast, Cheap Classifiers Instead of Fine-Tuning
vesko_st · x · 2026-10-09
A deep dive into how Jev-style classifiers fit into modern agentic systems. The argument: in the LLM era we forgot classifiers can be fast, cheap and useful; the pain was training, monitoring and syncing them. An agent can build and maintain these fast classifiers itself — with labels, its natural-language classifiers rival fine-tuning; without them, it can interview the user instead. Framed around TypeSafe's recent Jev release.
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