Matt Shumer 演示可实时接收反馈的 agent 迭代流程
Matt Shumer 又发了个 agent 演示：你按个键给反馈，agents 就接着改，能直观看到迭代过程。想了解这类反馈驱动 agent 工作流长什么样，可以直接点进去玩玩。
Matt Shumer 在 X 上发布一段演示，称 "It's improving!!
"，展示 agents 在生成内容后可以持续迭代改进。演示中用户通过按键（按 B）提交反馈，agents 会根据反馈对输出做进一步优化。
该演示属于 agent 工作流层面的尝试：由多个 agent 协作处理任务，并把用户反馈纳入下一轮生成循环。这条推文本身只包含简短描述和演示链接，未披露所用模型、基准或具体技术细节。
对关注 agent 工作流和交互式反馈机制的开发者来说，可以直接查看原链接中的演示内容了解实际效果。
It's improving!! https://t.co/vvDnMGBE3d
Play it and provide feedback (hit B) and the agents will make it better :)
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Matt Shumer, agent, agents, user feedback.
Source attribution: curated from Matt Shumer (@mattshumer_).
