jev-dataops
Jev decides which samples are worth keeping before anything is trained on them.
CA clean typed decision with low volume or low value, or too vague to act on.3.35
Key facts
- Vertical
- Software & tech
- Function
- Agents & dev
- Status
- Seen in the wild
- Volume
- occasional
- Value
- meaningful
- Risk
- moderate
- Evidence
- described plan
- Flags
- check-fit
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 “jev-dataops”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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