内容 agent 循环里用 Jev 类决策模型做 5 个评审
作者在 agentic 内容生产循环中接入语义、过滤、策略、收益、编辑五个评审，称 Jev 类决策模型让评审判断更准，不合格稿会被打回重写。
Most AI content is AI slop 🤷♂️ Not because the model ignores your rules. It probably follows them. The problem? Most content workflows are linear. Prompt → draft → publish. One pass. No second opinion. Agentic loops change the game. As I always say → quality isn't a function of talent. It's a function of iterations. A proper agentic loop keeps working until the output passes your harness: your rules, your tools, your skills. And here's the trick → judges 🤖 You can plug several of them into the loop. With JEV-class decision models they get even sharper. In my setup every page goes through 5 judges: → semantics → filter → strategy → benefit → editorial Two pages, 10 agents running in parallel. Any judge can send the draft back for another round. That's the key. Not a better prompt. A better loop. Want to learn why it works and how to build it? Join us 👉 https://sensai.io/ 841 people from all over the world are already waiting 🥷