X posts

npm install is the scariest command in your terminal. One typo → lookalike package → malicious postinstall → secrets gone. jev-sec-audit flags it in milliseconds using Jev, a System 1 model built for fast decisions, not chat. One step in GitHub Actions. Open source. https://t.co/PhC7TLRwCt

Built a tool that searches Google Icons using JEV (Laya-MLX) Should I publish it? 👀 https://t.co/97qw7oIkOt

best way to close my day with a webinar on @typesafeai Jev in JarvisCore! i covered the 4 places we are using Jev in our agent runtime: RAG classification and ranking, model routing, subagent routing, and directly in agent decisions this is not the end, i believe there is much more to come in our memory assembly, tool recovery, peer delegation, and human-in-the-loop. Every agent harness, runtime, loop needs some good Jevglue! also check out this https://t.co/nrzsIzpxM8 by @CompleteSkeptic

Built an AI slop finder for @X using Jev @typesafeai . • Tweet → Content script extracts text • Text → Backend API → Jev • Jev → AI-slop score • Score → Badge displayed on the tweet #jev #aislop #newmodels https://t.co/VMzJA1Tyde

🤔 Where do #Jev and other "Decision Models" fit into your current agentic or non-agentic pipelines? The short answer: anywhere you might have LLM calls with a #pydantic model or json schema to type-cast your raw data into structured categories, Likert-scale numerical scores, or true/false decisions. I ran three benchmarks with @flyteorg on https://t.co/WczbNQoVLn in the context of three use cases: - Customer support - Code review - Legal contract review In all three cases, using Jev was faster (up to x2.6) and cheaper (at least x10) with no loss in quality compared to using a "System 2"

How we're using Jev frrom @typesafeai at @knowyourcompani - Rendering exact citation on a document page -> upgrade from chunk box mapping to more precise citations https://t.co/5pUBxNcLS7

This might be the most useful thing I’ve built with Jev so far. A Chrome extension that quietly analyzes what I’m seeing and classify them as Opinion, Engagement bait, etc... So clean you may think it is a new feature on X :) https://t.co/POUtFhxGkD