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Workday on Tuesday made Sana, its AI assistant, the new home screen for its HR, finance, and IT software. If The post Workday is using TypeSafe’s Jev to build user interfaces on the fly appeared first on The New Stack.
Jev and the flood of AI decision models — TypeSafe allegedly copied researcher's architecture but got copied itself
As you can see in the AINews X recap section below, everyone on earth has cloned the Jev API, but only one company can ever create the category. TypeSafe announced their “Series AI” and Sequoia “leaked” that they crossed 100M ARR in their first week.
What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs.
TypeSafe Inc., the creator of the Jev artificial intelligence model, today announced that it has raised $870 million in funding at a $7.5 billion valuation. Andreessen Horowitz led the round with contributions from Sequoia Capital, DCVC and unnamed angel investors.
How a decision-first model can catch risky tool calls before they turn into real-world actions The post Can TypeSafe's Jev Make AI Agents Safer Without Another LLM? appeared first on Towards Data Science.
Connect your TypeSafe key once and let Jev answer one typed question per run: a score, a choice or a yes/no that the next action can branch on. With four guides to try it on.
Somewhere in a roleplay community, people are feeding their own chat replies into a model built for industrial automation. The model scores their writing and tells them which reply sounds more in character. That model is Jev, and it is not what TypeSafe AI put in its press release.
In September 2026 a company called TypeSafe released Jev, and it isn't a chatbot. It never writes a sentence. You give it some text and a question with fixed answer options, and it returns one of your options plus how sure it is: "bot, 97%." Nothing to parse, nothing to read.
AWS on Thursday launched Strands Decider 2B, its take on decision models like Jev, Kev, imajev, Laya, and others. TypeSafe’s Jev kicked off the current The post AWS launches a local answer to TypeSafe’s Jev decision model appeared first on The New Stack.
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has introduced Jev, a decision-making model that generates typed outputs rather than text. It evaluates inputs in parallel, providing results with probabilistic scores and confidence values.
Most of the AI calls inside your software don't need an essay. They need an answer: which team owns this ticket, whether a tool call is safe, whether a lead is worth chasing. The usual approach is to ask a large language model for a paragraph and then parse it into something your code can use.
With the sudden rise of TypeSafe’s Jev, decision models have become incredibly popular, so it’s not surprising that OpenAI is The post OpenAI answers TypeSafe’s Jev with a Decision API built on Luna appeared first on The New Stack.
Jev is a new AI that is making news and it doesn't chat. You can use it do small classification tasks. In this video, we take one real support ticket from a customer named Alan and follow it all the way through: what we send Jev, what comes back, and how the program decides what to do with the…
Pydantic AI can run an agent on TypeSafe's Jev, a model that answers typed questions instead of writing text. Pydantic Logfire now shows each question, answer, and probability in Live view.
How calibrated decision models can handle high-frequency graph decisions while LLMs remain focused on reasoning, synthesis, and open-ended generation. The post GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs appeared first on Towards Data Science.
Bring your TypeSafe key to Pydantic AI Gateway and call Jev through the System One API, with metered cost, guardrails, and the same gateway key you use for every other model.
Six things we learned adding Jev, a model that returns typed decisions instead of text, as a reranker in Hindsight 0.10.1. Including two designs that failed and the numbers that killed them.
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