Typesafe AI’s Jev Model Goes Public, Prompting Ultra‑Fast Crypto Trading Experiments

Typesafe AI announced that its System One model, branded Jev, is now available to anyone without a waitlist. New users receive $5 in credits to test the AI’s ultra‑fast, bounded‑question format.

How Jev Works

Unlike conversational models such as ChatGPT, Jev receives a defined state and a closed‑question (e.g., buy or sell, yes or no, or a numeric score) and returns a typed probability for each answer choice. Responses are generated in 70 to 500 milliseconds at a cost of $0.042 per million input tokens, with output free. Because it never generates free‑form text, Jev avoids hallucinations and can be integrated directly with other software.

Bitcoin Price Prediction Test

Bitcoin.com News fed Jev data from Polymarket’s live event “What price will Bitcoin hit in 2026?” and asked whether a Binance one‑minute candle would reach $85,000, $90,000 or $100,000 before 2027. Polymarket bettors priced the $85,000 outcome at 81 cents on the dollar, while Jev assigned it a 55 % probability, 48 % for $90,000 and 34 % for $100,000. The test illustrates Jev’s ability to produce rapid confidence scores for market questions.

300‑Millisecond On‑Chain Trading Bot

Jarrod Watts, lead AI engineer at Monad, built an on‑chain bot that queries Jev every 300 ms with a price feed and executes post‑only limit orders on Kuru’s order book based on Jev’s buy‑or‑sell decision. The bot’s code was open‑sourced under the repository jarrodwatts/jev-trader, and similar projects are appearing across the crypto ecosystem.

Emerging Use Cases

• Stablecoin strategy scoring
• Meme‑coin launch evaluation
• Token‑focused risk assessment tools

Developers are leveraging Jev’s speed to create real‑time scoring, validation, and prediction pipelines that avoid the latency of traditional chat‑based AI.