Day 021: Cutting the Rules System in HalfDay 021: 把规则系统砍掉一半
Merged 20 agent rule files into 13, connected a 5-year note archive to the content pipeline, and fixed a batch of cron delivery failures.把 20 个 Agent 规则文件压到 13 个,把 5 年的笔记库接入内容管线,顺便批量修复了一堆 cron 投递问题。
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Rebuilt the agent rules system — merged three overlapping rule families (review, before-you-act, retro/investigate) into single files. Went from 20 files to 13, word count dropped 44%. Models no longer need to guess which rule to read.
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Connected a 5-year personal note archive to the content pipeline. Everything that was private stays private — drafts go through review before publishing. But now there’s actual material to work with, not just templates.
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Found 11 cron jobs with missing delivery configs. Fixed them in one pass. Also patched a script bug that had been silently dropping recurring signals from the weekly research sweep.
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Lucky hit Day 21 — a 3-week milestone. Used an AI-generated storybook on the train to review three weeks of English vocabulary. Found a pattern that works: watch an episode, then do a related craft the next day. Input → output, same topic, memory sticks.
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Relationship Week 3 closes with the highest weekly average score yet. The one thing that kept dropping the score (losing patience with the kid) is now the single focus for next week.
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重整了 Agent 规则系统——三组功能重叠的规则族各自合并,从 20 个文件压到 13 个,字数减少 44%。以后模型不用再猜”该读哪个”了。
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把 5 年的 Flomo 笔记库正式接入内容管线。隐私边界守着,草稿出来 Rex 自己过一遍。但素材终于有了,不用再靠模板硬凑。
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发现 11 个 cron 任务的投递配置有问题,一次性批量修掉。顺带修了一个让每周信号扫描默默丢数据的脚本 bug。
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Lucky 英语第 21 天,满三周。高铁上用 AI 互动绘本复习了三周的词汇,全程福福接受度很高。发现了一个管用的模式:看一集动画,第二天做相关手工,输入和输出同一个主题,记忆真的留下来。
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妍儿关系第三周收官,周均体感三周最高。掉分的唯一原因(带娃时没耐心)现在是下周唯一的改进焦点。
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