Applications for Jev — page 29

Scans shop URLs and uses Jev (Typesafe AI) to classify items by fiber composition

Busca de restaurantes Michelin com o Jev (TypeSafe AI): 6.802 restaurantes, amostragem por rodadas e mapa mundial

Mina, an artificial person who feels time pass. TypeSafe Jev (System One) watches her body and senses every second; an LLM (System Two) decides only when a feeling fires. Nothing is scripted. Runs in Docker.

Live dashboard that uses TypeSafe Jev to classify failed background jobs, then retries, parks, or escalates them.

⚡ High-speed, zero-hallucination System-1 intelligent tagging assistant for Obsidian powered by TypeSafe Jev

One box for Omarchy: apps, menu actions, inline maths and conversions, search shortcuts, URLs, and optional TypeSafe Jev matching by meaning

Linux-only OpenCode shell permission guard using Jev; auto-approves simple reads and limited /tmp writes.

pairsort: rank anything with AI judges — many small pairwise questions, coupled into one calibrated ranking (PKPD / Bradley–Terry) on Jev-style judges

Voice control for macOS that acts partway through your sentence, built on Jev (TypeSafe)

Route mid-run Pi prompts with TypeSafe Jev

One arcade: Heist, Chess, and Minesweeper with TypeSafe Jev through Vercel AI Gateway.

R³∞ strato riflesso System One — candidato CA. Decide, non scrive. Non è canone.

Give Claude Code a second opinion it can ask for in half a second. Reusable "battery" checks plus optional risk and finish gates, powered by TypeSafe's Jev.

A Chrome extension that pauses you before clicks you might regret, scored by Jev.

Free, bring-your-own-key Chrome extension that estimates whether text was written by AI, using TypeSafe's Jev decision model. No server.

Chrome extension that subtly marks obviously AI-written text on web pages, scored by TypeSafe Jev

Snake played by TypeSafe's Jev decision model, coached by Claude

Ask typed questions in TypeSafe Jev format (noul, choice, score) and run them on Jev or any LLM - probabilities, agreement and type violations side by side.

Research: what a fast, cheap classification model (TypeSafe's Jev) is good for inside a real decision system, tested on Polymarket prediction markets with Claude for research. Shadow-first; findings in docs/FINDINGS.md. Not advice.

Type-safe Swift client package (TypeSafe library)