Using Jev for Auto-Categorization in a Personal Budget App
The author shares a small project integrating Jev into a personal budget app for automatic transaction categorization, saying it is more accurate than regex and cheaper than LLMs.
THE JEV GUIDE · CURATED EDITION
Finance.
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
6757curated posts
3414original videos
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Jev and Grok Built a 'Death Note' for Memecoins
A user had Jev read new pump.fun launches and, combined with Grok Bot, 46 of 47 listed tokens dropped 99% as predicted. Link
Jev BTC 5-min bot marks to bid
Polytutor shows how its Jev-based Polymarket BTC 5-minute trading bot values open positions at the best bid instead of mid, falling back to last trade or Gamma price, with a GitHub repo. Link
Jev-Built AI Trading Terminal: 5-Agent Crew Automatically Profits 34.88x
User shares a terminal bot built with Jev and Grok: after setting a $100 spend cap, it auto-made $3,488 in 6h16m. The system is a 5-agent crew — nothing is bought unless all five agree.
QuantBot × Jev Reviews Tesla Roadster Polymarket Trade
The author connected the Polymarket market 'Will Tesla Roadster fly for at least 1 second?' to the QuantBot × Jev trading analysis system and reviewed the whole process from buying YES at 10 cents to the vehicle leaving the ground.
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
Jev BTC 5-min bot: set POLYMARKET_SOURCE=live for real trading
Polytutor shares operational notes for a Jev BTC 5-minute Polymarket bot: live mode refuses to start on a sample market file, stub model, or missing wallet key; the default auto source silently falls back to sample data after one network error, so real-money users should set POLYMARKET_SOURCE=live to fail loudly. Link
Jev-Powered Trading Execution Pipeline
Code calculates the state, Jev provides the decision, code applies policy, the risk engine checks, and the order is executed—forming a complete automated trading loop.
Jev Prediction AI Tested on FX Short-Term Direction
A user tested the trending prediction AI Jev on FX direction for about one day. The 15-minute direction hit rate was 56.0% (234 times), 60-minute was 44.4% (54 times), noting the past 4-week 15-minute rate was only 48.7%, suggesting short-term FX is hard to predict.
Jev-like Models for Real-Time Fraud Detection
The post notes that conversational AI is great for drafting emails but too slow for real-time fraud detection; modified Jev-like models bypass text generation and evaluate business parameters in a single pass for instant predictions.
Jev in Action: The 7th Agent on the Memecoin Desk
The post introduces Jev with claimed 5-day live results: a $500 bankroll turned into $11,101, 43 trades with 30 W / 13 L, and says the agent cannot chat, write, or argue and mostly says no. It is a third-party real-world stat summary, not an official release.
Whisper Money uses Jev model for transaction categorization: 39,118 calls in 4 weeks for $2.50
Whisper Money reports 39,118 AI calls (78.5M tokens) over 4 weeks for transaction categorization at a total cost of $2.50; since September 30 it has moved from Gemini Flash Lite to TypeSafe AI's Jev model, and the author stresses the switch was not due to price.
Paper experiment: Can AI Jev predict market direction in 15 minutes?
Started a new experiment: having prediction AI 'Jev' make sealed forecasts every 15 minutes and scoring them when the time comes. A paper-based test without using real money.
