ROUTEBusiness workflows
TypeSafe Jev Model
21Borov@21_borv
The Jev model is an AI component that makes structured decisions for immediate program use, rather than engaging in dialogue or lengthy explanations.
SignalThe model returns Choice, Score, or Zero, probability, and confidence.
Pattern↑ Jev AI decision models
AI has learned to act quickly instead of chattering
TypeSafe introduced the Jev model, which does not try to have a dialogue, write long answers, or explain every decision.
It makes structured decisions that the program can immediately use.
For example:
the text of the client → Jev defines the category → the code starts the desired workflow.
The model returns Choice, Score, or Zero, probability, and confidence. Next, the action is performed by the usual code: it sends a request to the right specialist, launches a check, or asks a person to intervene.
In other words, Jev does not replace the program.
It becomes a small AI component inside it.
The TypeSafe website states that on their System One workflows, Jev performs tasks 193.6 times faster and 444.6 times cheaper than conventional LLMs. This is the company's own data, not an independent universal benchmark, so it cannot be transferred to any AI tasks.
But the idea itself is more important than a specific number.
If the AI works fast and cheaply enough, it can be called not once in a large chat, but constantly inside processes:
- classify requests;
- choose the application route;
- check documents;
- detect suspicious requests;
- decide whether a human review is needed;
- choose the next automation step.
An ordinary LLM talks to a human.
Jev makes small decisions that the program uses.
That is why the application space looks huge.
Website:
typesafe.ai