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ๆ™บ่ƒฝไฝ“่‡ชๅŠจๅŒ–JEV

โšก ๐‰๐„๐• ๐๐‘๐ˆ๐๐†๐’ ๐“๐˜๐๐„๐ƒ ๐€๐ˆ ๐ƒ๐„๐‚๐ˆ๐’๐ˆ๐Ž๐๐’ ๐“๐Ž ๐“๐‡๐„ ๐.๐€๐ˆ ๐€๐๐ˆ

โšก ๐‰๐„๐• ๐๐‘๐ˆ๐๐†๐’ ๐“๐˜๐๐„๐ƒ ๐€๐ˆ ๐ƒ๐„๐‚๐ˆ๐’๐ˆ๐Ž๐๐’ ๐“๐Ž ๐“๐‡๐„ ๐.๐€๐ˆ ๐€๐๐ˆ https://t.co/ei1aQSTT5d is expanding its API ecosystem with Jev, the first System One model from @typesafeai, designed for fast, structured decision-making inside software. Instead of generating text that developers must parse, Jev is built to return typed decisions with probability and confidence. No prompt-based JSON formatting. No manual output parsing. ๐๐”๐ˆ๐‹๐“ ๐…๐Ž๐‘ ๐‘๐„๐€๐‹-๐“๐ˆ๐Œ๐„ ๐ƒ๐„๐‚๐ˆ๐’๐ˆ๐Ž๐๐’ Jev can evaluate Choice, Score, and Noul questions in parallel, with responses designed for approximately 70โ€“500ms. That makes Jev relevant for software workflows where decisions need to be fast, consistent, and directly usable. Potential applications include: ๐Ÿ”ธ Ticket routing ๐Ÿ”ธ Content moderation ๐Ÿ”ธ Risk scoring ๐Ÿ”ธ Agent branching ๐Ÿ”ธ Automated software decisions ๐‹๐Ž๐–-๐‚๐Ž๐’๐“ ๐€๐ˆ ๐…๐Ž๐‘ ๐‡๐ˆ๐†๐‡-๐•๐Ž๐‹๐”๐Œ๐„ ๐–๐Ž๐‘๐Š Jev is priced at $0.042 per million input tokens, with output tokens free according to the supplied information. Combined with structured outputs and low latency, Jev is designed for frequent AI-assisted decisions across software systems. ๐‰๐„๐• ๐ˆ๐’ ๐๐Ž๐– ๐€๐•๐€๐ˆ๐‹๐€๐๐‹๐„ ๐Ž๐ ๐.๐€๐ˆ Developers can access Jev-1.13.0 and Jev-Latest through the https://t.co/ei1aQSTT5d API. This adds a different layer of AI capability to https://t.co/ei1aQSTT5d: intelligence that can move beyond conversation and become part of the decision layer powering software, automation, and autonomous Agents. More Exploreโ†’https://t.co/3f6HxucwGd @BAI_AGI @justinsuntron #TRONEcoStar
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