Introducing Jev · intelligence for software
The First (Public) System One Model; Jev Gives AI The Properties Of Code
TS.AI.OS1
Intelligence for
the next decision.
Describe the situation. Define the answer type. Let the rest of your program decide what happens next.
The public static artwork is retained above. The source animation and its overlaid content are not reproduced. Open the documentation recipe for a complete input, typed question and result.
A different
starting point.
GENERATIVE INTERFACE
Read a response.
A human interprets a text answer before taking action.
TYPED INTERFACE
Use a decision.
Software receives a bounded value and a confidence measure.
PUBLIC MODEL EVIDENCE
Measure the task
you need to do.
Speed claim on the source homepage
Cost claim on the source homepage
Source claims observed 18 September 2026. This design guide does not independently validate the model benchmark or imply the same result on other workloads.
Read the technical context ↗Try the shape
of the answer.
A local teaching example. No model request is sent; the uncertainty branch is deliberate.
Built by people
who build models.
Meet the team ↗
Questions,
answered.
What is a System One model?
A model for a bounded decision inside software. The example here returns a typed result that code can branch on.
Where does Jev fit?
Jev is the public model name. The documentation separates state, question definitions, result types and confidence.
Does it produce a chat response?
The public design emphasizes typed answers. Use the docs recipe to see the distinction between Choice, Score and Noul.
How should I handle uncertainty?
Keep a fallback when confidence is insufficient. The local fixture is deterministic so the state transition can be inspected.
Where can I start?
Open the quick start reconstruction or follow the source link in its contract. Creating a real account is outside this local example.