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decision-model · Openness profile

TypeSafe Jev (System One models)

TypeSafe AI · snapshot 2026-11-07

a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out — fast, structured decisions that software can use directly

Tier 0 Proprietary service

What the publisher claims: System One model, type-safe, frontier

The one-liner: The open interface around a closed intelligence.

The six questions

A AccessScore 0 of 3

No downloadable artifacts for the model itself; access is through the hosted API in early access.

P PermissionScore 0 of 3

No license grant; terms of use govern a service.

D DeploymentScore 0 of 3

Runs only on TypeSafe's hosted service (70-500ms end-to-end, their infrastructure).

T TransparencyScore 1 of 3

Workflow evals are published with full queries and methodology (an unusually candid disclosure of evaluation), but architecture, training data, and method (RLCD) are unpublished.

R ReproducibilityScore 0 of 3

No path to reproduce: no weights, no paper, no architecture details.

G Governance & ParticipationScore 1 of 3

Public SDK repos accept issues and the evals are published for scrutiny, but the model's development is entirely corporate; no community channel.

License

None published for the model — hosted service (early access) — license source ↗

What is actually released

Why it matters

The sharpest new form of the book's question: a decision model whose SDKs, eval harness, and type guarantees are all inspectable while the model itself is a black-box service. 'Open source' is doing zero work here — the openness lives entirely at the boundary.

Sources

Derived from the openness dataset behind But Is It Open? — snapshot 2026-11-07 ↗. Scores are qualitative readings of the cited evidence, not verdicts; tier measures openness, not intelligence.

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