TypeSafe's Jev decision model: typed outputs in 70-500ms at $0.042/M input tokens

johnlindquist · x · 2026-10-02

John Lindquist will demo Jev, a decision model from TypeSafe, in a MEGA.dev livestream: it turns messy inputs (speech, documents, live feeds) into typed, confidence-scored decisions code can act on. Published numbers: 70-500ms responses, $0.042 per million input tokens, free output; in his tests, voice to-do decisions took a median 156ms. Demos include a tool picker, PDF sectioning, live data (earthquakes, GitHub issues, HN), and a Jev-as-front-door ladder that escalates low-confidence requests to larger reasoning models.

Original post →

More from coding & agent

coding & agent channel →