Text Classifier looks through a pile of snippets, tickets, reviews, or log lines so you do not have to read every one.
Tell it what you want. It keeps the useful rows, puts a label on each item, or just counts how many fall in each bucket. If it is not sure, it keeps the row instead of throwing it away. It returns a label and a confidence score, not a written summary.
Use this when you have dozens of items. If only a handful are already on screen, decide yourself.
What you can do
- filter — drop the junk and keep the useful bits
- classify_many — put one label on each row
- tag — apply every label that fits, not just one
- count — get totals, not a row for every item
- classify, check, score, evaluate — the same idea for one piece of text
Related tools sort search results, check messages for harm, route support tickets, pick an email or amount, check a citation, compare options, match a need, say what to do first, approve a queue item, and spot duplicates.
Who it's for
Anyone sifting search results, tickets, reviews, or logs who does not want to paste every line into chat.
How to use it
- Start with filter or count when the list is long
- Use classify_many or tag when each row needs a label, then only read the unsure ones
- Pass a file_id if the list lives in a file
- Use classify, check, or evaluate for a single item
Getting started
Call filter with your question and the texts. Read only the rows it kept.
