Another crazy @typesafeai Jev example: Predictive

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Built a spreadsheet column that rates each row from 'no follow-up needed' to 'urgent' as you type, using Jev to read intent in about 100 ms per cell.

The original post

Another crazy @typesafeai Jev example:

Predictive spreadsheets

Spreadsheets recalculate numbers, not meaning. Jev reads intent.

Type "Urgency" at the top of a column and, as you type, it figures out you want each row rated from "no follow-up needed" to "urgent" in ~100 ms.

Quoted post

@dabit3298.4K views
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Also have been playing with @typesafeai Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post