用 agent 团队做每周论文筛选：12 条分诊规则实战分享
一个编辑每周要读几百篇论文，他把自己的筛选流程拆成 12 条规则交给 agent 跑，规则全贴出来了，照抄就能用。
作者每周要过数百篇新 AI 论文，为 Top AI Papers of the Week 摘要选题。过去用保存搜索加表格跟踪，周量超过个人阅读上限后失效。现在用名为 Viktor 的 agent 在 Slack 中执行 12 条分诊规则，每条提案附理由、来源和下一步。例如论文附带数据集时，Viktor 会检查许可证，常规的自动处理，含非商业条款的上报人工决定，最终发布前都由作者批准。
Every week I go through hundreds of new AI papers to pick the top ones for our Top AI Papers of the Week digest. Besides reading a lot of papers, I have started to use agent teams a lot. Here is what works for me. The most important thing is making sure I can make the final call on tasks agents are assigned. The volume is what makes the weekly triage difficult. Before Viktor, I tracked papers with saved searches and a spreadsheet. That stopped working once the weekly volume grew past what I could read myself. Now I use 12 triage rules, all in the image below. Each rule shows how Viktor, my favorite AI employee, handles it in Slack. First, I keep context close. Every proposal Viktor sends me comes with the reason, the source, and the next step. That way I can check where a recommendation came from before I act on it. One rule I use often is escalating exceptions. When a paper releases a dataset, Viktor checks the license before I feature it. He handles the routine ones and sends me any with a non-commercial clause. Nothing in the digest is published until I approve it. Viktor proposes, and I decide, so I can stand behind every issue that goes out. Twelve rules in the image. Which of them would you add? Try it free at @viktor_com . $100 in credits, no card. Full link in my first reply. 💬 5 🔄 1 ❤️ 10 👀 2141 📊 6 ⚡
