Jevtown

a town of 10,000 personas computed from their id reads a post, listing, product or headline; one request asks Jev about 60 `Score` questions on who would care plus seven `Noul` moderation checks (0.5 keeps the text out of the public feed, 0.85 blocks it), batched `Choice` questions then return each persona's reaction in waves of 600, 1,500 and 3,000, and code sends the text to the next wave only while glad reactions outweigh sorry ones by at least 0.1 of the wave.

THE SHAPE OF A SCORE CALL

A generic skeleton for this question type, not this project's actual code.

from typesafe import TypeSafe

ts = TypeSafe()
result = ts.evaluate(
    state=candidate,
    questions={
        "relevance": {
            "type": "score",
            "levels": ["low", "medium", "high"],
            "instructions": "How relevant is this to the query?",
        }
    },
)
if result["relevance"] >= 0.7:
    keep(candidate)