Ecommerce failure modes 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 failure modes slice of the ecommerce merchandising decisions pack. Intent: apply the Jev (TypeSafe System One) decision model to ecommerce merchandising decisions failure modes. Primary search language: Ecommerce Jev failure modes. 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
Ecommerce merchandising decisions breaks in product-specific ways. This page lists those modes so you can write tests — not a generic “AI can be wrong” essay, and not a rival limitations-page clone.
Hub: Use cases. Compare, when the other tool is the real job: ecommerce personalization.
Failure Modes inputs
Many failures start as contract violations (distractors, missing product copy or promo text text). Canonical 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
- Personalization engines rank products; they do not read your claims policy (compare).
- Jev will not compute conversion or set a price.
- Jaggedness: “20% vs 25% off” belongs in code.
- A publish Choice is not a regulator’s sign-off.
- No invented AOV or CTR lifts.
HTTP vs application:
| You see | Class | Ecommerce move |
|---|---|---|
| 401 / 422 / 429 / 529 | Documented HTTP | Fix key/body or back off — errors |
| 200 + flat confidence or Noul ≈ 0.5 | Low confidence | Hold; do not publish customer-visible copy or a live promo |
| Empty gather | Missing evidence | Skip Jev or ask “is enough information present?” |
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
Fail closed: do not publish customer-visible copy or a live promo. Schema-safe answers are not factual correctness. 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.
Evaluation and rollout notes
Your canary set should include each bullet above.
- False-publish on a banned-claim canary
- False-hold (catalog throughput)
- Agreement after policy edits
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 | you are here |
| Labeled replay | evaluation |
| Shadow → canary | production rollout |
FAQ
If the API returns 200, is the decision good? 200 only means the call parsed. Low confidence, Noul ≈ 0.5, or a policy miss are application failures.
Where do official weaknesses live? TypeSafe’s jev-1.13 jaggedness note — distractors, arithmetic, adversarial content. We do not invent more.
Where is the rest of the Ecommerce pack? Start with Ecommerce evaluation and Ecommerce decision workflow. 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.