I taught SQL to ask questions using jev: SELECT * FROM
Built jevsql, letting SQL queries call Jev for natural-language boolean predicates like detecting angry customers without embeddings or LLM-written SQL.
The original post
I taught SQL to ask questions using jev: SELECT * FROM tickets WHERE jev_bool(body, 'Is this customer angry?') No embeddings. No keyword list. No LLM writing SQL. jevsql: natural-language predicates, a typed control plane that never lets an LLM touch your data... @typesafeai
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post