抄作业 / 做成了什么 / Meta Muse
给 Muse 搭一个半自动反馈学习循环
- 做了什么
- 不满意时作者用 👎 回复并说明期望;Muse(HUO)把反馈自动收进一张 Google Sheet,把纠正变成指令,夜里自我反思调整行为。作者说只是提出需求再微调就搭好了,附失败日志和每日反思文件截图。
- 场景
- 写代码上线
- 资料完整度
- 作者与原链接有
- 做了什么有
- 来源原文摘录有
- 截图 / 媒体有
- 步骤 / 章节来源未提供
- 提示词 / 配置原文来源未提供
- 结果 / 数字来源未提供
- 风险提示有
- 相关条目有
— 表示来源没有给出,本站不补写。
- 作者原话
Last weekend, I set up a simple, semi-automated feedback and learning loop for my @muse agent. I was curious how much I can improve it on the fly.
Whenever I'm not satisfied with a response, I react with 👎 and explain what I expected. HUO (my muse) automatically collects the feedback in a living google sheet, turns my corrections into instructions, and reflects on his mistakes overnight to modify his behavior.展开全文
What's so nice about it is how easy it was:
I just asked for it and made some tweaks to set up the learning loop. All that's now left for me is to complain (which I can do pretty well) and HUO gets better and better at making me happy.
Here are failure logs and the daily self-reflection file, more on the set-up below.@nonieengel · · 在 X 打开 ↗ 作者原话,照录原文,未翻译。
- 效果截图


截图来自原帖 - 提示词
来源没有给出可直接复制的提示词原文。
- 怎么复制
- 读原文:x.com ↗
- 把原文里的步骤/提示词整理成一条消息交给 Bot
- 先手动跑一次,再决定频率
- 风险与限制
- 定时运行会持续消耗额度:频率从低开始,跑稳再加
- 作者的结果不保证能复现,以原帖为准
- 用量预估
- 用金属计算器估一下