Jev: Millisecond Responses, Low-Cost AI Answers
Jev answers questions in 70–500 ms at a fraction of the cost of word-by-word chat models. For 1,000 emails with 7 questions each, a chat model takes 5 minutes and $0.62—Jev is faster and cheaper.
THE JEV GUIDE · CURATED EDITION
Launch news.
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
5419curated posts
2789original videos
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RubyLLM 2.1 Released with Jev Decision Model Support
RubyLLM 2.1 is out, claiming up to 58x faster and 58x less memory, built-in MCP support, and support for Jev and other decision models, plus a new evaluation framework and OpenTelemetry tracing.
OpenAI Decisions API Described as Jev-style System One Model
The post says OpenAI released Decisions API, a multimodal model with a Jev-like System One style, based on GPT6 Luna, developed by Roboflow.
Jev API Launch: TypeSafe AI's System One Model for Developers
The B.AI API now brings Jev to developers — TypeSafe AI's first System One model. Unlike traditional LLMs, Jev focuses on fast, structured decision-making within software workflows, not text generation. Link
TypeSafe AI Launches Jev: A System One Model for Software Decisions
The B.AI API now brings Jev from TypeSafe AI to developers. As the first System One model, Jev is designed not to write text but to make fast, structured decisions directly inside software workflows. Link
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TypeSafe AI's Jev Model Tops Ramp's Trending SaaS Vendors
Ramp's October SaaS vendor report shows TypeSafe AI's Jev model (launched in September) ranked #1 trending and #2 fastest growing, behind only Anthropic.
Discussion on Jev decision model and OpenAI Decisions
The post mentions the Jev decision model and notes that OpenAI released a similar tool called Decisions, emphasizing the rapid pace of change in AI decision tools.
Sendsignal: An MCP tool that uses Jev to detect AI-written text
The author believes that having another AI check AI-written text before publishing will become a standard step. The sendsignal MCP can be added to your agent with a single command, using Jev for judgment. Link
lifesim-social-1 vs OpenAI Decisions: Jev Model Benchmark
Cris Lenta shares benchmark results: lifesim-social-1 achieves 88% accuracy, 102ms p50 latency, and 0.047 calibration error on social decisions, outperforming OpenAI Decisions API.
JEV release update
The post mentions that JEV from @typesafeai has launched, with thanks to the community.
Amazon responds to Jev's $0.042 price with free offering 16 days after launch
TypeSafe launched Jev, a model that returns decisions instead of text, on September 15. On October 1, AWS engineer Marc Brooker and two co-authors published a free response, with a single number determining when it stops being free.
Matt Biilmann announces support for OpenAI's Decision API, comparing it to TypeSafe's Jev
The post announces support for OpenAI's new Decision API, noting it is conceptually similar to TypeSafe's Jev but multimodal, making it ideal for building apps like 'Hotdog or Not Hotdog'.
