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X 上的 AI 合集档案 · 23 个合集 · 70,791 条

jevVIDEO

TRENCHNET:Jev 筛异常、Opus 深挖

用交易历史建画像,Jev 标记值得细看的钱包异动,再交给 Opus 5.5 做深度分析,省约七成成本。

Logics
@immortalhowwl2026.09.27收录原推发布于 2026.09.27
Logics @immortalhowwl原推发布于 2026.09.27
在 X 上打开原推

jev + opus 5.5 for pumpfun... i genuinely dont get why more ppl arent building this yet in my workflow, this cut costs and time by ~70% here's how i use the combo in TRENCHNET: → build trader profiles from their actual trading history → connect wallets that repeatedly enter the same tokens → let jev flag changes that deserve a closer look → send those cases to opus with the trades attached opus handles the deeper analysis jev evaluates incoming events using the trader profiles and graph context i explain how to build this system in my article below:

这条是引用着另一条写的:x.com/immortalhowwl/status/2102012226747924961

x.com/immortalhowwl/status/2103890985650422006采集于 2026.09.27 10:09