use case · practical
Support inboxes and review feeds are firehoses. Paste a batch here — one message per line — and the model sorts them into positive and negative, ranked by confidence, so the angriest messages float to the top of the queue. All of it runs in the tab; no customer text is uploaded anywhere.
Each line is classified independently and placed by its label, then sorted by confidence so the strongest signals lead. In a real queue you'd route the high-confidence negatives to a human first — the model gives you the ordering for free, entirely client-side.
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