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迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
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Recent activity迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
TypeSafe 的正式推出公告介紹了實驗室,並引導開發者使用 Jev。包含迪奧戈·阿梅達的推出影片和原始介紹。
TypeSafe 宣佈 Jev 無需等待名單即可公開使用。官方控制台是將類型化決策應用於自己應用程式的起點。
TypeSafe 強調 Jev 的類型輸出方法:應用程式提供狀態和問題,然後根據機率、選擇或分數進行操作。連結的公告也涵蓋了威尼斯 API 集成。
Start with the Launch Post. Explore four official signals.
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A demonstration where Jev was given $10,000 to trade.
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Jev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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Jev conducts a sentiment-based stock market analysis for the Danish market in 2025, using diverse data sources with low cost.
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Jev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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An experimental trading system using defined rules and Jev for decision-making.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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Jev identifies and manages marketing messages in Android notifications without content deletion.

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A community post describes using Jev to analyze news for stock investment opportunities.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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A trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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A stock evaluation tool using Jev for fast market analysis.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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Jev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi.
x.comKalshi prediction-market bot查看專案 ↗Source-linked curation