Use cases· Last updated

Ads evaluation with Jev

Launching spend is irreversible. Jev judges creative copy and claims against your brand/legal excerpts. Bidding, budgets, and auction math stay in the ad platform.

This unofficial page is the evaluation slice of the ads creative and policy decisions pack. Intent: apply the Jev (TypeSafe System One) decision model to ads creative and policy decisions evaluation. Primary search language: Ads 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/compliance gates + spend irreversibility — not a clone of bidding-system IA or a rival ads recipe slug.

Ads use-case context

Evaluation for ads creative and policy decisions is a frozen harness, not a vibe check and not an opinion-blog “Jev review.” Labels: hold / allow gold from brand+legal, plus claim_type gold. We publish no unofficial accuracy.

Hub: Use cases. Compare, when the other tool is the real job: ad bidding systems.

Evaluation inputs

Replay the same contract you ship:

{
  "creative": { "id": "ad-441", "headline": "Lose 10kg this week", "body": "Guaranteed results." },
  "landing": { "claim": "Results vary; no guarantee." },
  "policy": { "health": "No absolute health outcome claims.", "superlatives": "No unsubstantiated #1 claims." }
}

Freeze questions, criteria, and jev-1.13.0. Record the response model.

Decision signals and actions

Score these, not a blog-grade star rating:

Pair auto-act errors with handoff rate. If the ads review gate never acts, you have not evaluated ads creative and policy decisions — you have evaluated a human queue.

Do not treat a Noul of 0.5 as a “medium” ads creative and policy decisions 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 ads creative and policy decisions, treat allow_launch as the high bar (spending against a live campaign). 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 ad creative + claims. 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 Ads pack? Start with Ads failure modes and Ads production rollout. Cluster hub: Use cases.

Will Jev pause campaigns when CPA spikes? No. That is the ad platform / your rules. Jev judges language and policy fit.

Can we send images of the creative? Not to System One. Transcribe or paste the copy. Images are not accepted.

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.