Another useful use-case with Jev from @typesafeai - AI text
Used Jev for AI text classification that came close to Pangram at 6000x lower cost and 5-10x faster, tested on a Paul Graham essay.
The original post
Another useful use-case with Jev from @typesafeai - AI text classification.
Very close to @pangram, 6000x cheaper, 5-10x faster
Tested here on a @paulg essay!
What the author linked
- jev-ai-detector.com
- AI Detector — A fast, free AI writing check. Inspect the signal, see the probabilities, and automate checks with a simple API.
From the same thread
- @Totzenberger — Classification performance is amazing. Built an AI-text detector that's 6000x cheaper than @pangram while being as good and way faster. Thanks @typesafeai
Engagement when collected
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