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CASE FILE / Decision automation
🚨 I gave the Trump vs Kamala debate a live BS meter using Jev every sen…
🚨 I gave the Trump vs Kamala debate a live BS meter using Jev every sentence, both candidates, 5 yes/no questions each 1,191 Jev calls / 1.18M tokens / 415 ms median total cost : $0.0497 same questions for both, clips picked by one fixed rule, not a fact-check https://t.co/m8u4ALl6Me
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Chetaslua · @chetaslua
Original post
🚨 I gave the Trump vs Kamala debate a live BS meter using Jev every sentence, both candidates, 5 yes/no questions each 1,191 Jev calls / 1.18M tokens / 415 ms median total cost : $0.0497 same questions for both, clips picked by one fixed rule, not a fact-check https://t.co/m8u4ALl6Me
Views 165,822Likes 1,158Reposts 47
Chinese translation
🚨我使用Jev为特朗普与卡马拉的辩论提供了一个现场BS表 每句话，两位候选人，每人5个是/否问题 1，191个Jev呼叫/118万个代币/ 415 ms中位数 总成本：0.0497美元 两者的问题相同，剪辑由一个固定规则挑选，而不是事实核查https://t.co/m8u4ALl6Me
What this case shows
- Use JEV as a typed, fast decision layer
- Wire probability into business rules
- Open the original post for the full demo