Use cases· Last updated

Triage failure modes with Jev

Incoming tickets need a queue, a temperature reading, and a sense of time pressure — then code routes. Jev judges; it does not write the reply.

This unofficial page is the failure modes slice of the support triage pack. Intent: apply the Jev (TypeSafe System One) decision model to support triage failure modes. Primary search language: Triage 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): Full triage pack (contracts → thresholds → handoff → audit) beats a single support-triage-choice recipe. We do not clone rival recipe IA.

Triage use-case context

Support triage 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: Support triage hub. Compare, when the other tool is the real job: keyword triage.

Failure Modes inputs

Many failures start as contract violations (distractors, missing support ticket text). Canonical shape:

{
  "ticket": { "id": "T-1042", "body": "Card charged twice after the outage.", "channel": "email" },
  "customer": { "plan": "pro", "open_incidents": 1 },
  "policy": { "p1": "P1 = safety issue or complete outage" }
}

Decision signals and actions

HTTP vs application:

You see Class Triage 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 page on-call or issue a refund flag
Empty gather Missing evidence Skip Jev or ask “is enough information present?”

Do not treat a Noul of 0.5 as a “medium” support triage score — it means yes and no are equally likely. Conjunctions stay in your code.

Guardrails and escalation

Fail closed: do not page on-call or issue a refund flag. 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 support triage, treat page_oncall as the high bar (paging on-call or issuing a refund flag). Tune on labels — see offline evaluation.

Evaluation and rollout notes

Your canary set should include each bullet above.

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 Triage pack? Start with Triage evaluation and Triage decision workflow. Cluster hub: Use cases.

Can Jev replace the support agent? No. It classifies and scores. Agents, macros, or humans act. See the support triage hub.

Should every company copy TypeSafe’s 0.5 intent floor? No. Official numbers are illustrations. Fit on offline evaluation.

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.