Jev AI

profanity-checker

Cloudflare Worker that asks Jev `Noul` for literal profanity in text or usernames and a second `Noul` for phonetic or look-alike disguise (`a55h0le`, `mike_hunt`); the threshold, `max()` policy, JSON response, and OpenAPI schema live in Worker code and the endpoint is callable from other Workers via service bindings.

OWNER
4rays
INDUSTRY
Trust & safety
CATEGORY
Content Moderation
KIND
REPO
HOST
github.com
VIEW ON GITHUB

WHAT IT DECIDES

CHOICE

Picks one option from a fixed set

SCORE

Rates against ordered levels

NOUL

Answers a yes / no question

Inferred from this project's own one-line summary in the community list — it reads as a SCORE + NOUL decision. Read the source to confirm.

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)
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