Repo · Routing & model choice

Jev Learning

Learning log explaining Jev single-pass typed decisions with a ticket-routing example, noting vendor speedup claims as unverified and routing low…

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From the repository

A small hands-on project exploring Jev, TypeSafe AI's fast structured-decision model. Builds a support ticket router that compares Jev's single-pass probabilistic classification (typed choice/score output) against a traditional LLM's token-by-token generation — to understand why Jev is dramatically faster for classification and routing tasks.

How builders describe it

Learning log explaining Jev single-pass typed decisions with a ticket-routing example, noting vendor speedup claims as unverified and routing low confidence to a human.

The decision Jev makes

Pick an agent, a model, a skill from a catalog, or a function and its arguments.

Where it fits

Deciding which agent, model, skill or function should handle a request. Jev is a natural router: the options are fixed and the confidence tells you when to fall back. All 348 routing & model choice projects →

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