Agents ✦ 72outlineNot a production recipe — calibrate thresholds

NL → typed function args

Who: Tooling / trading demos. Steps: Map NL to Choice function + closed-set args → code calls. Expected effect: Confidence-aware tool binding.

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
# NL → typed function args
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

Tooling / trading demos

Steps / how it's set up

Steps

  1. Map NL to Choice function + closed-set args.
  2. code calls.
  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

Confidence-aware tool binding

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