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use cases intent-routing-pattern

Routing ✦ 92outlineNot a production recipe — calibrate thresholds

Intent routing (handler split)

Who: Platform eng. Steps: State=message → Choice intent + Score complexity → code routes DB/LLM/human. Expected effect: Right handler without full LLM every time.

Source: https://docs.typesafe.ai/patterns/intent-routing ↗ Docs / source ↗
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 
# Intent routing (handler split)
State: relevant software state for this pattern.
Ask: Choice / Score / Noul questions that close the decision space.
Then: compose the route or action in code; escalate when confidence is low.

Needs access to: typesafe-sdk

Who it's for

Platform eng

Steps / how it's set up

Steps

  1. State=message.
  2. Choice intent + Score complexity.
  3. code routes DB/LLM/human.

Sources

Metrics and demo claims are author-reported or cookbook-reported unless you measure them yourself. Calibrate on your data.

Expected effect

Right handler without full LLM every time

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