Natural-Language Predicates for SQL
Eugene Boondock describes using jevsql to add natural-language predicates to SQL queries. His example filters tickets with `jev_bool(body, 'Is this customer angry?')`.
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 https://t.co/JtqOsiYoIl

He says the approach uses no embeddings or keyword list and does not have an LLM write SQL. He describes jevsql as a typed control plane that never lets an LLM touch the data.
Also filed under Tools & apps
- Swift Client for TypeSafe Jev Judgments
swift-jev is a Swift client for TypeSafe Jev that uses typed judgments instead of generated text.
- Go SDK and CLI for Jev Decisions
go-jev provides a Go SDK and CLI for TypeSafe Jev typed yes/no, Choice, and Score decisions.
- Open-Model Semantic-If Engine
SemIf-OpenJev is an open-model semantic-if engine for local Jev-style decisions.
- Open-Weight Jev Decision Model
JevK5 is an open-weight Jev alternative that returns typed decisions with probabilities in one forward pass.