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Early-stage TypeScript CLI, library, and coding-agent skill for reusable Jev question templates: it maps typed answers to act, mark, or fall back, and keeps a local decision/outcome log for review. Question state goes to TypeSafe; the log keeps a state hash by default but can opt into full state, and configured run commands may execute locally without per-action confirmation when confidence is high.
Early Python library adding async Jev Noul, Choice, Score, and multi-question evaluation to pandas and eager Polars, with full Choice and Score probability distributions, bounded row concurrency, and opt-in memory caching; each uncached row sends selected context to TypeSafe, and LazyFrame expressions are outside v0.
psql-shaped CLI and Go/TypeScript/Python SDKs that let you write WHERE jev(alias, 'condition'), jev_prob, jev_choice, and jev_score against a vanilla Postgres with no extension: it runs the plain SQL on the server, judges the surviving rows with Jev in batches (cached in local SQLite), and applies filter, sort, and group in the client; every row that survives the SQL filters is sent to TypeSafe and judged, so put cheap predicates in SQL first.
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