Use cases· Last updated

Moderation human handoff 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 human handoff slice of the content moderation pack. Intent: apply the Jev (TypeSafe System One) decision model to content moderation human handoff. Primary search language: Moderation Jev human handoff. 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

Handoff is a first-class outcome for content moderation, not a failure of Jev. When the moderation worker cannot auto-act, a human sees a packed user-generated post or message — not a chat transcript. We do not ask Jev to write the reviewer essay.

Hub: Use cases. Compare, when the other tool is the real job: moderation APIs.

Human Handoff inputs

Humans should see what the model saw (filtered), not the warehouse dump you correctly refused to POST:

{
  "post": { "id": "p-209", "text": "…", "locale": "en" },
  "policy": { "hate": "…", "spam": "…", "illegal": "…" },
  "author": { "strikes": 1, "age_gate": "18+" }
}

Decision signals and actions

Signal Typical reason enum (you name it)
category confidence below floor uncertain_class
illegal or high severity safety_queue
allow Noul mid-band close_call
Repeat-offender strikes (your CRM) + gray Jev pattern_review

These are application outcomes next to HTTP 200, not invented TypeSafe status codes.

Send the reviewer:

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

Do not page humans on a single Score unless your conjunction says so. Pair with confidence thresholds. 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

Write the gold label back into the offline set. That is how floors move. 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 you are here
What to persist audit trail
How it breaks failure modes
Labeled replay evaluation
Shadow → canary production rollout

FAQ

Is handoff a Jev failure? No. It is a first-class outcome. Abstention is “no auto action”; handoff is the queue you send that case to (glossary).

Should Jev draft the reviewer note? No. Send structured answers. Generation is the wrong job.

Where is the rest of the Moderation pack? Start with Moderation confidence thresholds and Moderation audit trail. 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

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.