jevVIDEO
Jev 把 AI 输出从文本变成可执行决策
说明 Jev 输出决策+概率而非段落,可直接驱动分类、路由、校验、打分与 agent 工作流,省去解析重试。
Vikas gupta
@vicky_grok2026.09.24收录原推发布于 2026.09.23
Vikas gupta @vicky_grok原推发布于 2026.09.23
JEV FLIPS THE USUAL AI WORKFLOW. Most AI systems are built to generate something you can read. Jev is interesting because the output can be something your software can act on directly. Instead of: Question → Paragraph → Parse → Validate → Retry You can think: Question → Decision → Probability → Action That opens up useful patterns for: → Classification → Routing → Verification → Scoring → Agent workflows Sometimes the best AI output isn't an answer. It's a decision your code can use.
这条是引用着另一条写的:x.com/vicky_grok/status/2101988006446203119
x.com/vicky_grok/status/2102604990573646109采集于 2026.09.24 10:18