Detect filler-heavy takes before editor opens them
Judges: one take transcript chunk. Questions: noul:rambling - speaker loses thread; noul:restart - false start or retake; choice:take_quality - keeper/usable/reject/insufficient_context. Action: Rank takes per scene, hide rejects, flag keepers in NLE markers.
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.4.05
Key facts
- Vertical
- Games & entertainment
- Function
- Creative & industry
- 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 “Detect filler-heavy takes before editor opens them”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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