Jev: the AI that picks the right model for each task
Jev (TypeSafe) splits your AI assistant's work between powerful and low-cost models. Compared by the Kailli team in 2026: verdict Compared.
In short
Jev is a small AI model that picks, before each task, your assistant's "brain" and what it should consult.
- Notre verdict
- Compared Compared by the Kailli team against an AI assistant on its own, from September to October 2026: Jev wins when it chooses between clear options, and loses when it has to search.
- Who it's for
- SMEs that hand many tasks to AI assistants and want to save the expensive model for the hard ones.
- Pricing
- Pay per read: $0.042 per million word chunks sent, responses free. A thousand routine decisions cost a few cents. relevé le
What is it?
An AI assistant relies on a model, its "brain." Some are powerful and expensive, others fast and cheap.
Jev, from the vendor TypeSafe, doesn't write anything. It answers closed questions: which model, which documents, which step. It gives its choice and how confident it is.
Think of a team lead. They don't do the work; they assign it to the right people.
What is it used for in a business?
- Pick the right model for the task: the powerful model for an architecture or design question, the low-cost model for a small, well-scoped fix.
- Decide what the assistant should read or use: the right instructions and the right files, instead of letting it dig around on its own.
- Break a job into small, verifiable steps: precise scope, limited time, and proof required before each step is approved.
Our take
Strengths
- It saves money when the options are clear. On simple fixes, the assistant received up to eight times less text, for the same result.
- It saves time. On our test tasks, the work went about twice as fast, with the same checks passed.
- It can say when it's unsure. About one time in five, it doesn't decide: the current model is then kept, with no risk.
Limitations
- It loses when asked to search. Put in competition with the assistant, it triggered two searches and cost more than the assistant alone.
- A small model shouldn't run a complex job on its own. On a request covering several topics, it announced "done" while part of it was missing.
A typical case
A team that hands small website fixes to an AI assistant
The situation
Our team hands website fixes to an AI assistant: small bugs, page sections, settings. Everything went through the most powerful model, and therefore the most expensive one.
What we did
We placed Jev before each task. Well-scoped fixes go to the low-cost model. Tasks that touch the whole site stay with the powerful model, which frames and checks the work. Every delivery is checked before approval.
The result
The low-cost model held up on most page sections, without calling on the powerful model. In one trial, an overly ambitious version of Jev, which searched for files itself, made fixes fail: we went back to simple choices.
Frequently asked questions
Who is Jev for, and do you need a technical team?
Jev is for companies that already use several AI models every day. Yes, you need a developer: Jev plugs into software or an assistant; it isn't used on its own.
How much does Jev cost?
You only pay for the text Jev reads: $0.042 per million word chunks, responses free. A thousand decisions on a page of context cost less than 5 cents. The real cost remains the models it picks.
What are the alternatives to Jev?
Picking the model yourself for each task, or setting fixed rules ("fixes go to the low-cost model"). That's often enough to get started. Jev becomes useful when tasks are numerous and varied.
Getting started
Official sources
- Official website of TypeSafe, the vendor behind Jev (new tab) checked on
- Documentation: Jev overview (new tab) checked on
- Jev models and pricing (new tab) checked on
