Ecommerce confidence thresholds with Jev
Catalog copy, reviews, and promo banners need a keep / edit / hold decision before they go live. Recs, search rank, and inventory still own merchandising math. Jev judges language against your policy excerpt. It does not set prices or personalize a homepage.
This unofficial page is the confidence thresholds slice of the ecommerce merchandising decisions pack. Intent: apply the Jev (TypeSafe System One) decision model to ecommerce merchandising decisions confidence thresholds. Primary search language: Ecommerce Jev confidence thresholds. 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): Claim/policy + merchandising action on catalog text — not a clone of a personalization-engine sitemap or recs API landing page.
Ecommerce use-case context
Thresholds turn ecommerce merchandising decisions answers into act / review / abstain. They are product policy, not a hyperparameter TypeSafe ships. Official 0.5 / 0.9 sketches are illustrations. This slice also carries the false-reject discussion: over-gating ecommerce merchandising decisions hides calibration.
Hub: Use cases. Compare, when the other tool is the real job: ecommerce personalization.
Confidence Thresholds inputs
You need (1) pinned answers on a frozen contract and (2) labels for publish/hold gold from merch+legal, plus claim_risk gold. State shape:
{
"item": { "id": "sku-88", "title": "Lose 10kg tea", "bullets": "Guaranteed results in 7 days." },
"policy": { "health": "No absolute health outcomes.", "stock": "Do not claim in-stock if inventory_flag is false." },
"flags": { "inventory_flag": true, "locale": "en" }
}Decision signals and actions
| Axis | Where it lives | Ecommerce use |
|---|---|---|
choice / score / noul |
answer payload | What to do with the product copy or promo text |
confidence |
Choice & Score only | Whether to trust the argmax |
| Distance from 0.5 | Noul | Whether policy_ok is decided |
FLOORS = {
"internal_preview": 0.55, # illustrations — replace
"publish": 0.88,
}
NOUL_TAU = 0.80 # for policy_ok
def allow(ans, action):
return ans.confidence >= FLOORS[action]Do not treat a Noul of 0.5 as a “medium” ecommerce merchandising decisions score — it means yes and no are equally likely. Conjunctions stay in your code.
Guardrails and escalation
TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For ecommerce merchandising decisions, treat publish as the high bar (publishing customer-visible copy or a live promo). Tune on labels — see offline evaluation.
Band around 0.5 on policy_ok always reviews. Do not copy 0.80 onto Choice confidence.
Evaluation and rollout notes
- False-publish on a banned-claim canary
- False-hold (catalog throughput)
- Agreement after policy edits
Fit loop: pin jev-1.13.0 → replay → plot error vs confidence → pick floors where auto-act error ≤ your SLA. 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 | you are here |
| Reviewer payload | human handoff |
| What to persist | audit trail |
| How it breaks | failure modes |
| Labeled replay | evaluation |
| Shadow → canary | production rollout |
FAQ
Should publish use 0.9 everywhere? No. Over-gating hides calibration and dumps the queue on humans. Fit per action.
Can I reuse a Noul τ as Choice confidence? No. Jaggedness: they are not interchangeable. See confidence.
Where is the rest of the Ecommerce pack? Start with Ecommerce decision workflow and Ecommerce human handoff. Cluster hub: Use cases.
Will Jev personalize the homepage? No. Recs stay in your personalization stack. This pack gates language.
Can we send product images? Not to System One. Transcribe claims. Images are not accepted.
What this page does not claim
- Not a recs engine, PIM, or pricing optimizer.
- No conversion benchmarks.
- 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.