用 Jev 给研究 agent 做输入过滤闸门
作者嫌 AI 信息噪音太多，用 Jev 这个只做 yes/no 判断的 System One 模型当守门人，过滤掉无关链接，省下贵模型的 token。
too much ai noise every link feels important every thread feels like "alpha" my research agent was getting overwhelmed too many tokens spent on things that did not matter i needed a gatekeeper so i built a filter using JEV a system one model that does not think or summarize it just decides: yes or no the pizza test: > pepperoni pizza recipe: rejected > technical doc on agent architecture: approved do not let your most expensive model do the job of a simple filter use a fast, cheap decision layer to clean the input then let the researcher do the heavy lifting fewer tokens burned on things that never mattered
这条是引用着另一条写的：x.com/slonski_rt/status/2101329868655140981