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use cases moderation-label-with-uncertain

Guardrails ✦ 56outlineNot a production recipe — calibrate thresholds

Moderation with uncertain outcome

Who: Trust & safety. Steps: Choice labels include uncertain → compare auto vs human. Expected effect: Self-consistency pattern.

Source: https://docs.typesafe.ai/cookbooks/consistency_choice_cookbook ↗ 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 
# Moderation with uncertain outcome
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

Trust & safety

Steps / how it's set up

Steps

  1. Choice labels include uncertain.
  2. compare auto vs human.
  3. Compose the decision in application code and calibrate thresholds on your data.

Sources

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

Expected effect

Self-consistency pattern

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