Ask an LLM to label 30 product reviews and you'll get 30 answers that all sound equally sure of themselves. Some are wrong, and nothing tells you which ones. But decision modes like Jev from TypeSafe AI are perfect for tasks like this.
So I built JevSheet, a spreadsheet that classifies its own rows using Jev. You add a column, describe it in plain English, and pick the answer type: yes/no, a score, or one option from a list. Every answer comes back with a confidence score you can sort on, to quickly find which rows to review.
Try it on your own CSV or Excel file. You can use the live hosted version for free, or clone the repo and run it with your own Jev API key.
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