Jev 1.13: a decision model that judges instead of writing text
The author checks what Jev 1.13 actually does: it takes context and typed questions and returns probabilities, used for ticket routing, tagging messy input and score thresholds, with input at $0.042/M tokens and output free.
Saw the NEAR AI Cloud note and had to check what Jev 1.13 actually does before writing it off as another model drop. TypeSafe built it to judge, not to write, so you send context and a few typed questions and get probabilities back. No paragraphs to clean up, no JSON to coax out of a chat model. That shows up in places like: • sending a ticket to the right queue • tagging messy input without a custom parser • deciding whether a score is high enough to act on They priced input at $0.042 per million tokens and left output free. Worth a test if your stack spends more time formatting answers than making them.