X · by Timothy Kassis
Jev reads an academic paper and reports how rigorous it is.
Timothy Kassis
@TimothyKassis
We built a really nice free tool on top of @typesafeai Jev to see how rigorous an academic paper is.
Sep 24, 2026 · 56 likesOpen on X
Timothy Kassis built a free tool on top of Jev that reads an academic paper and reports how rigorous it is.
Open the source
OpenRouter
@OpenRouter
1/ Jev, a decision model by @typesafeai, sparked a burst of projects and discussion. We tested it using Ori Eval against popular LLMs on OpenRouter at judging. Jev was >5x faster than the next fastest model, and even its slowest requests beat every other model's median.
nader dabit
@dabit3
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 habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms
XBenchmarks and evals
ILIAS ISM
@illyism
Now using @typesafeai Jev in http://aiseotracker.com, http://linkdr.com, http://genppt.com, etc AI ends up vibe coding so much AI regex slop if you don't read the code, so I can finally move all this hard-coding to Jev and it's insanely fast! Also for regular LLM calls, it is around 10x faster, 50% cheaper
XBenchmarks and evals