Moderation evaluation with Jev
UGC needs a category, a severity, and an allow/review/remove decision. Jev scores the text you provide against your policy excerpt. Code enforces.
This unofficial page is the evaluation slice of the content moderation pack. Intent: apply the Jev (TypeSafe System One) decision model to content moderation evaluation. Primary search language: Moderation Jev evaluation. Confirm patterns on docs.typesafe.ai. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.
Independent angle (cover ≠ clone): Policy-as-criteria + confidence abort + human pack — not a clone of a moderation-API landing page or rival recipe IA.
Moderation use-case context
Evaluation for content moderation is a frozen harness, not a vibe check and not an opinion-blog “Jev review.” Labels: keep / review / remove gold from trained mods, plus category gold. We publish no unofficial accuracy.
Hub: Use cases. Compare, when the other tool is the real job: moderation APIs.
Evaluation inputs
Replay the same contract you ship:
{
"post": { "id": "p-209", "text": "…", "locale": "en" },
"policy": { "hate": "…", "spam": "…", "illegal": "…" },
"author": { "strikes": 1, "age_gate": "18+" }
}Freeze questions, criteria, and jev-1.13.0. Record the response model.
Decision signals and actions
Score these, not a blog-grade star rating:
- False-remove (voice suppression) vs false-keep (harm) at your floors
- Override rate from humans — if high, criteria or τ are wrong
- Drift after policy-text edits (replay, do not “feel” it)
Pair auto-act errors with handoff rate. If the moderation worker never acts, you have not evaluated content moderation — you have evaluated a human queue.
Do not treat a Noul of 0.5 as a “medium” content moderation score — it means yes and no are equally likely. Conjunctions stay in your code.
Guardrails and escalation
Promote a threshold only when the harness says auto-act error ≤ SLA and reviewers still catch the residual. TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For content moderation, treat remove_or_ban as the high bar (removing content or issuing a ban). Tune on labels — see offline evaluation.
Evaluation and rollout notes
After any criteria edit, rerun before production. Cookbook lifts you see on TypeSafe pages are vendor claims — re-measure on your user-generated post or messages. Pin jev-1.13.0 (the versioned id) after you fit thresholds. jev-latest and the marketing line jev-1.13 can move. Log the response model. TypeSafe’s published list price for jev-1.13 is $0.042 per million input tokens (vendor claim — confirm on the models page); output tokens are free on that same page. Unused distractors still bill as input.
Official Python and JavaScript SDKs read TYPESAFE_API_KEY and retry documented 429/529. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.
Pack map
| Slice | Page |
|---|---|
| Graph and primitives | decision workflow |
What may enter state |
input contracts |
| What to gather first | evidence collection |
| Atomic rules | policy checks |
| Act / review / abstain | confidence thresholds |
| Reviewer payload | human handoff |
| What to persist | audit trail |
| How it breaks | failure modes |
| Labeled replay | you are here |
| Shadow → canary | production rollout |
FAQ
Will jev.pro publish a leaderboard for this use case? No. Measure on your labels. Vendor cookbook figures stay labeled as vendor claims.
What must stay frozen? Questions, criteria, and the pinned model id. Aliases can move.
Where is the rest of the Moderation pack? Start with Moderation failure modes and Moderation production rollout. Cluster hub: Use cases.
Should we replace our moderation vendor with Jev? Only after a labeled bake-off you run. This page does not publish one. See Jev vs moderation APIs.
Can Jev moderate images? Not directly. State is text. Run a vision system, put labels/transcripts in state, then ask typed questions.
What this page does not claim
- Not a trust-and-safety certification.
- No published precision/recall.
- Not official TypeSafe.
- Official TypeSafe status, or that jev.pro issues API keys.
- That a schema-constrained answer is automatically factually correct.
Disclaimer
This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai.
Primary documentation: https://docs.typesafe.ai. Hub: Use cases.
Sources
Public TypeSafe or adjacent documentation only. No private claims.