Jev case: Testing @typesafeai Testing TypeSafe as the
Used Jev as the decision layer for an AI game companion, returning an action, destination, and confidence that game code turns into character behavior.
The original post
Testing @typesafeai
Testing TypeSafe as the decision layer for an AI game companion.
It reads the player’s message and game context, then returns an action, destination, and confidence. Game code makes the character act. Dialogue is prewritten; TypeSafe decides what happens next.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under games & playable demos, coding & developer tools. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the games & playable demos page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post