Skip to content

Brand Safety Feed

A contextual brand-suitability scorer that judges each feed item against an advertiser's own versioned policy, returning a category, an exclusion flag, and a confidence for routing borderline items to review.

Published by
Community
Author
Adguard Labs
Last verified
Oct 2026

Highlights

  • Scores against an advertiser's own versioned policy instead of one universal harm taxonomy.
  • Logs the policy version with every decision so a later review can explain an exclusion.
  • Keeps keyword and domain blocklists as the first deterministic pass, catching context after.
  • Batches items as parallel questions so the running cost tracks input tokens.

Watch out

It is a contextual layer that complements, not replaces, blocklists and human review; a policy edit should be evaluated on the bundled labelled feed before it reaches live inventory.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

YouTube: Building a contextual brand-safety scorer on Jev from scratch.

Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.

Show HN: Gating ad budget with a decision modelRead the thread on Hacker News

X: A website slop detector that checks 35 tells in 243 ms

X: Breaking, golden nugget, or slop

More Jev resources like this

A pre-bid spend guard that scores a placement's expected relevance and flags whether it matches the campaign brief, letting deterministic code hold budget back before the auction instead of gating the creative itself.
Jev Integrations & Adapters#community#typescript#advertising
Community
1GitHub stars
Cloudflare Worker that asks Jev on Workers AI for literal profanity in text or usernames and, for usernames, a second Noul for phonetic or look-alike disguises. The threshold and max policy live in Worker code, with OpenAPI docs generated via chanfana and Hono.
Jev Integrations & Adapters#community#cloudflare-workers#moderation
12.4kGitHub stars
Open-source AI email assistant (Next.js, Postgres, 12k+ stars) with a decision-model layer that can run on openrouter:typesafe/jev-1.13: Jev-backed questions cover rule selection, cold-email detection, thread status, recurring patterns, unsubscribe pages, and sender categorization, each with evals.
Jev Integrations & Adapters#community#email#gmail
The Vercel AI SDK provider for OpenRouter, including openrouter.decisionModel for typesafe/jev-1.13 evaluations with providerMetadata answers.
Jev Integrations & Adapters#community#typescript#openrouter
2GitHub stars
MIT-licensed Chrome extension that asks Jev whether the page, video or post you are on serves your written goals -- a category Choice, a goals Noul and a 0-4 waste-of-time Score -- then blocks or blurs in code, tightening thresholds at 2, 10 and 20 minutes of engaged time.
Jev Integrations & Adapters#community#chrome-extension#digital-wellbeing
A real-estate matching tool that applies hard-constraint gates before ranking a buyer's property preferences against listing features and remarks, returning a fit band and a per-feature score for the agent.
Jev Integrations & Adapters#community#typescript#real-estate
Community
Back to all resources

From the Jev community

Posts from builders shipping with Jev right now.

Follow @typesafeai