Podcast chapter boundary detection
Judges: two adjacent transcript windows. Questions: noul:topic_changed; choice:transition_cue - explicit/implicit/none. Action: Insert chapter markers where changed.
AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.3.87
Key facts
- Vertical
- Agencies, media & creators
- Function
- Content & brand
- Status
- Idea
- Volume
- routine
- Value
- meaningful
- Risk
- moderate
- Evidence
- —
- Flags
- None
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “Podcast chapter boundary detection”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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