Support ✦ 95outlineNot a production recipe — calibrate thresholds

Support ticket triage

Who: Support / ops engineers owning queues. Steps: (1) Build state — message, sender, open orders, policy lists. (2) One call: Choice intent + Score complexity (+ optional Nouls). (3) Code confidence-gates → human, or routes to lookup / specialist LLM / human. Expected effect: cheap classify before expensive handlers; uncertain tickets escalate.

1

Treat this as an outline — adapt state and questions to your data.

2

Implement in code — call System One / Jev; compose answers yourself.

3

Gate on confidence — act, confirm, or escalate before side effects.

Outline sketch

Prompt
Audience: support / ops.
Steps:
1) Deterministic pre-checks in code (closed tickets, missing fields).
2) State: message, sender, open orders, policy lists — omit secrets.
3) Parallel: Choice intent/topic; Score complexity; optional Nouls (needs_human, requests_credentials).
4) Gate: high confidence → route; mid → suggest; low → human.
Expected effect: closed-label routing with confidence-aware escalation.
Do not let Jev mutate tickets or send mail.

Needs access to: typesafe-sdkyour-ticketing

Who it's for

Support / ops engineers owning queues

Steps / how it's set up

Map queues to Choice criteria (what / not_for / examples). Call System One once per ticket; compose the route in application code. Cross-link: Hands-on support routing. Sources: intent-routing · how-to-build-with-system-one · awesome-jev-usecases · Routing.

Include an other / exception Choice option so unknown intents are not forced into a wrong queue. Optional speculative Nouls can branch follow-up questions in one round-trip. Production-scale routing claims from community repos are author-reported — calibrate on your ticket mix.

Sources (wave-2 deepen)

Expected effect

Canonical first System One shape: closed answer space, high repeat rate, judgment instead of brittle rules.

Unofficial outline for learning. Paraphrased from public docs and tutorials — not a production recipe. Review sources before you automate anything.