Sentiment, emotion and CSAT with decision models

Windows WeChat reply assistant: local offline OCR reads the chat, Jev judges intent and tension and ranks three drafted replies to fill in.

Mangaba AI's local, calibrated typed-decision model for Portuguese text, trained to optimize the Brier score; proprietary since v5.

Side-by-side tool comparing Jev and DeepSeek on labelling the same comments for relevance, sentiment and intent, with replay and reports.

DeepSeek Harness plugin that classifies each user message's emotion, urgency and department with Jev and injects it as context.

Chrome extension that sorts Hacker News comments into user-defined buckets with one Jev Choice call per comment.

Codex plugin for batch labelling JSONL records with Jev under custom policies, with Codex reviewing uncertain labels.

Android chat co-pilot that reads the active chat via Accessibility and returns typed verdicts on intent, emotion and risk; never replies.

Zero-dependency Android app that judges the visible WeChat message's intent, emotion, urgency and reply posture with Jev.

Android WeChat assistant where Jev judges the chat and scores the relationship, and a chat model drafts three replies.

WeChat plugin that classifies a long-pressed message's intent, emotion, urgency and suggested reply posture with Jev.

Interactive art piece where Jev reads a post as 100 fictional observers, picking an intuition and scoring four feelings for each.

Chrome and Firefox extension that scores a draft X post with Jev on a dozen rubrics and gives a send-or-don't verdict.

Android WeChat assistant showing Jev emotion probabilities and intent readings beside messages; never sends replies.

Local chat analyser that labels each WeChat message's emotion and intent with Jev and grades how your replies landed.

Emoji autocomplete that asks Jev eight parallel questions per typing pause: emoji choice, emotion, mood, urgency, sarcasm and more.

AI companion emotion system that reads emotions from the companion's own written thoughts with Jev probabilities via OpenRouter.

Valence: macro news sentiment engine scoring global headlines' market impact with a contrastive System-One model on serverless GPU.

Self-hosted helper for tricky chats and everyday decisions: Jev makes typed checks, an LLM handles language, the user decides.

Colab notebook experiment that analyzes a movie review with one Noul, one Choice and one Score question to Jev.

Crypto terminal that condenses up to 1,000 posts plus market data into a Jev buy, sell, hold or take-profit card; no trading.

Live race labelling 1,000 app reviews with four typed Jev questions versus Gemini 3.8 Flash JSON output.

Web app that reads a two-person chat and labels each message's emotion, intent and reply quality to estimate interest.

Undocumented app that uses Jev to classify text and pick an emoji reaction.

Pipeline that ingests Google Maps restaurant reviews and classifies sentiment, five rating pillars and flags with Jev or an LLM.

Go CLI that asks Jev each message's category, urgency and frustration, sorts by urgency and lists low-confidence items for review.

Companion that answers only with facial expressions: Jev picks one of 16 moods for each message and a blob avatar morphs its face.

Chrome extension that labels the tone of Bluesky posts and drafts with Jev and can blur or collapse matching posts.

YouTube comment analyser: an LLM writes a per-video rubric once, then Jev scores every comment and code computes consensus.

Chinese real-time captioning app where Jev annotates each spoken sentence for key points, emotion and intent as it streams.

Research wiring LAYA/Jev typed decisions into a quant stack with Claude fallback: good news reading, no market-beating edge.