What people are shipping with Jev.

This guy Built a tax document classifier with Jev. We ingest thousands of tax documents using an LLM pipeline I built last tax season. I read multiple articles as late as April this year claiming AI fails at tax document

THE JEV DEMOS SENT ME DOWN A RABBIT HOLE now i have 144 youtube uploads turning into a content map on one screen here’s the concept i built ↓ 144 real videos from 4 AI channels → thumbnails form a wall → titles get tagge

In March this year I started working on an idea I believe changes how we do RAG. Vectorless RAG. The idea has been around for a while; I designed my own process, which borrows a lot from the llms.txt convention: a docume

I got tired of choosing between X's firehose and someone else's idea of relevance, so I built Your Signal. It uses @typesafeai's Jev to score posts already on screen, then applies my rules locally. Reversible, BYOK, no t

Jev launched Tuesday.

check if code is malicious before you run it, built with jev from @typesafeai https://t.co/YJRT5KCAzA https://t.co/8wqzgnpPaF

been playing with Jev from @typesafeai and built unsaidbrief the idea: we give AI builders vague prompts, then spend hours fixing decisions we never actually made paste your brief and it uses Jev to flag missing decision

Proof of concept using Jev by @typesafeai to analyze image metadata and estimate how likely an image is to be AI-generated. Built with @laravel, @inertiajs, and @vuejs. Hosted on Laravel Cloud. Thinking of using it to sc

I built a CLI that sorts a folder by what each file actually says, using Jev from @typesafeai. 2,225 BBC news articles, anonymous filenames, sorted into 5 topics by content in 4.9 seconds for $0.05 at 97% accuracy. Fast

shipped: jev by @typesafeai now gates tryeve's builds.