The idea
Hassan shares an email-screening experiment that combines Jev with a larger reasoning model. Jev performs the first classification pass, while less certain cases take a second route.
Inside the decision loop
Email text + classification criteria
Classify and inspect confidence
Accept or request a second opinion
What to take from it
The architecture makes uncertainty actionable. Measure both the errors that pass automatically and the fraction of requests that require the more expensive second stage.
The reported result comes from the author’s small test set. It should not be treated as a general fraud-detection accuracy claim. Use held-out examples representative of your own messages.
Follow the original work
This case is an editorial interpretation of a public community demonstration. It has not been reproduced or benchmarked by this publication.
Original post by @nutlope