Use cases· Last updated

Customer support confidence thresholds with Jev

Triage already picked a queue. This pack decides what happens next: is the customer asking for a refund, does a drafted reply violate policy, should a macro fire? Jev judges; macros, agents, or humans act. Jev does not send the reply.

This unofficial page is the confidence thresholds slice of the customer support actions pack. Intent: apply the Jev (TypeSafe System One) decision model to customer support actions confidence thresholds. Primary search language: Customer support 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): Full support-action pack (contracts → thresholds → handoff → audit) beats a single support-triage-choice recipe. This pack is refunds, commitments, and policy replies — not a clone of rival recipe IA, and not a duplicate of the triage routing pack. Treat floors as production gates and price the false-reject cost — official 0.5/0.9 sketches are illustrations.

Customer support use-case context

Thresholds turn customer support actions 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 customer support actions hides calibration.

Hub: Support triage hub. Compare, when the other tool is the real job: ticket queues.

Confidence Thresholds inputs

You need (1) pinned answers on a frozen contract and (2) labels for send_macro / hold / escalate gold from senior agents, plus invented-promise gold. State shape:

{
  "ticket": { "id": "T-2201", "latest": "You promised a refund last week. Charge is still there." },
  "draft": { "body": "I issued a $400 goodwill credit." },
  "account": { "plan": "pro", "refunds_ytd_cents": 0 },
  "policy": { "refunds": "Auto-refund language only if amount extracted in code is under cap.", "promises": "Do not invent credits." }
}

Decision signals and actions

Axis Where it lives Customer support use
choice / score / noul answer payload What to do with the ticket thread + drafted reply
confidence Choice & Score only Whether to trust the argmax
Distance from 0.5 Noul Whether draft_ok is decided
FLOORS = {
    "suggest_macro": 0.55,      # illustrations — replace
    "send_customer_reply": 0.88,
}
NOUL_TAU = 0.80  # for draft_ok

def allow(ans, action):
    return ans.confidence >= FLOORS[action]

Do not treat a Noul of 0.5 as a “medium” customer support actions 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 customer support actions, treat send_customer_reply as the high bar (sending a customer reply or issuing a credit flag). Tune on labels — see offline evaluation.

Band around 0.5 on draft_ok always reviews. Do not copy 0.80 onto Choice confidence.

Evaluation and rollout notes

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 send_customer_reply 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 Customer support pack? Start with Customer support decision workflow and Customer support human handoff. Cluster hub: Use cases.

Is this the same as the support-triage recipe rivals publish? No. Triage routes the ticket. This pack gates actions after routing. Cover the intent; do not clone their slug or outline.

Can Jev replace the agent? No. It classifies and scores. See the support triage hub.

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.