TypeSafe Launched Jev because Sequential LLMs Are "Totally Useless for Computers"
Developers are using the model for software automation, with one engineer saying it ran 5 to 18 times faster and improved accuracy.
- On Monday, September 21, TypeSafe AI announced that Jev is now available to everyone without a waitlist, with access starting at $5 in credits equivalent to roughly 120 million tokens.
- After exiting OpenAI nearly two years ago, Co-founder and CEO Diogo Almeida launched TypeSafe AI with co-founders Erik Gafni and Sashsa Sheng to develop Jev as a 'System One' model focused on decision-making rather than text generation.
- Developers report Jev delivers up to 200x faster inference and 400x lower cost than comparable models on classification tasks, processing agent tool calls in under half a second for $0.042 per million input tokens.
- Major platforms including Vercel, Cloudflare, LangChain, and Langfuse have integrated Jev into their stacks within days, with developers adopting it to replace slower processes like command safety reviews and email classification.
- By moving classification and decision tasks off large language models, Jev positions itself as essential infrastructure for AI agent automation, enabling distributed software systems that resemble the early internet model rather than centralized mega-apps.
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The Independent
The Independent (US)What is Jev, the AI tool that everyone is talking about?
New AI system uses fundamentally different technology from common chatbots such as ChatGPT and Claude – and is nearly 200 times faster as a result, makers claim
TypeSafe Jev: the AI that cannot write, and beat GPT-5.6
We have lightning in a bottle, and yet it is not useful. Diogo Almeida helped build ChatGPT. He worked on the instruction-following research behind it at OpenAI, and the four years since have left him disappointed by what it became, as he told TechCrunch last week. His answer is a model that cannot write a […] This story continues at The Next Web
TypeSafe AI has launched Zev, an AI model that performs data classification and business decision-making quickly and affordably without sentence generation capabilities. Unlike existing LLMs, it is optimized for optimizing simple tasks and is attracting attention in the AI routing market as it can be operated immediately via natural language settings without separate training.
TypeSafe launched Jev because sequential LLMs are "totally useless for computers"
When TypeSafe emerged last week after two years in stealth, backed by $40 million in seed funding led by DCVC, to launch its first model, Jev, it claimed something that counters just about everything the industry has built since ChatGPT: The model doesn’t write. It decides. The first of what the organization calls a new class of System One models, Jev is a text-only model that machines can use natively to make decisions inside software applicati…
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