Jev is a new kind of AI model that can't write anything. Instead it does the most important but most expensive thing the very best models do: make's decisions
It reads an email, a lead or a document, picks from answers you've written down, and does it in under a second for a fraction of the cost than your Claude & GPT subscription.
Nine days after it launched, the startup behind it, TypeSafe AI, was reported to be in talks to raise over a billion dollars, and OpenAI and Amazon and are just about to release their own versions.
In this episode of In The Loop, I'm walking through what the Jev model is, how it works, and the six ways people are already using it.
I also cover how to try it yourself in TypeSafe's playground and what a model this cheap does to the companies that charge by the token. The open question is how much of it lasts now the big labs have copied it.
⏭️ Episode highlights
(01:05) – What Jev is and how it works
(05:00) – Seven hundred adverts broken down for nine cents
(07:35) – Sorting email and leads as they arrive
(09:00) – Checking every paragraph against your style guide
(11:25) – Setting it up in TypeSafe's playground
(14:05) – What this means for the big AI labs
🔗 Links & resources
- TypeSafe playground - https://console.typesafe.ai/playground
- TypeSafe launch post, "Introducing System One Models & Jev" - https://typesafe.ai/blog/introducing-system-one-models-and-jev
- TypeSafe add-on for Claude Code and other coding assistants - https://docs.typesafe.ai/agent-skill
- Raphaëlle d'Ornano on Jev and AI economics, Decoding Discontinuity - https://www.decodingdiscontinuity.com/p/typesafe-jev-decision-models-ai-economics
Episode transcript with more resources on the Mindset AI blog
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