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use cases markdown-structure-recover

Extraction ✦ 64outlineNot a production recipe — calibrate thresholds

Markdown structure recovery

Who: Ingestion. Steps: Stitch wrapped lines → classify blocks with companion questions. Expected effect: Recover structure without full regen.

Source: https://docs.typesafe.ai/cookbooks/autoformat ↗ 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 
# Markdown structure recovery
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

Ingestion

Steps / how it's set up

Steps

  1. Stitch wrapped lines.
  2. classify blocks with companion questions.
  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

Recover structure without full regen

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