<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>页边 · Li Siyao</title><description>记录 AI 模型、工具与工作流的真实实验，关注方法、结果与边界。</description><link>https://lisiyao.ggff.net/</link><language>zh-CN</language><item><title>写 AI 文章前，我会先记下这 7 项信息</title><link>https://lisiyao.ggff.net/posts/how-i-document-ai-experiments/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/how-i-document-ai-experiments/</guid><description>一篇可信的 AI 实践文章，不只展示漂亮输出，还应该交代任务、版本、评价标准和失败边界。</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate><category>AI 实践</category><category>写作</category><category>评测</category></item><item><title>提示词不是咒语：一个可复现的对比方法</title><link>https://lisiyao.ggff.net/posts/prompt-experiment-method/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/prompt-experiment-method/</guid><description>与其收藏“万能提示词”，不如固定任务和评价标准，一次只改变一个变量。</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate><category>提示工程</category><category>实验方法</category></item><item><title>给 AI 输出加一道验证：从聊天框到工作流</title><link>https://lisiyao.ggff.net/posts/verify-ai-output-workflow/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/verify-ai-output-workflow/</guid><description>真正可靠的 AI 使用方式，不是期待一次回答完美，而是设计生成、检查与人工确认的闭环。</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><category>AI 工作流</category><category>事实核查</category></item><item><title>别让好答案留在聊天框：把 AI 输出变成可复用资产</title><link>https://lisiyao.ggff.net/posts/turn-chat-into-reusable-assets/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/turn-chat-into-reusable-assets/</guid><description>一次满意回答只有被整理成模板、清单、规则或案例，才能离开聊天记录并在下一次任务中继续发挥作用。</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><category>知识管理</category><category>AI 工作流</category></item><item><title>AI 到底省了多少时间？先把返工算进去</title><link>https://lisiyao.ggff.net/posts/measure-ai-time-saved/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/measure-ai-time-saved/</guid><description>衡量 AI 效率不能只看生成速度，还要计算准备、核查、返工和交接，才能判断工作流是否真的更省时间。</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><category>效率</category><category>评测</category></item><item><title>别在最后才检查：给 AI 工作流设置人工关卡</title><link>https://lisiyao.ggff.net/posts/human-review-checkpoints/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/human-review-checkpoints/</guid><description>人工复核不该只发生在发布前。把关键判断放进流程中，才能更早发现错误并控制风险。</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>AI 工作流</category><category>人机协作</category></item><item><title>AI 写完代码后，我只看这 8 个验收点</title><link>https://lisiyao.ggff.net/posts/ai-coding-acceptance-checklist/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/ai-coding-acceptance-checklist/</guid><description>用一份八项清单检查 AI 生成代码的范围、契约、测试、安全性与可维护性。</description><pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate><category>AI 编程</category><category>测试</category></item><item><title>提示词库为什么越存越乱，以及怎样维护</title><link>https://lisiyao.ggff.net/posts/maintain-a-prompt-library/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/maintain-a-prompt-library/</guid><description>不再堆积孤立的提示词片段，用任务卡、版本和验收标准维护真正可复用的提示词库。</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate><category>提示工程</category><category>知识管理</category></item><item><title>让 AI 读长文，但每个结论都要找到原文</title><link>https://lisiyao.ggff.net/posts/read-long-articles-with-evidence/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/read-long-articles-with-evidence/</guid><description>把长文摘要改造成可追溯的证据清单，让结论、引文和原文位置逐条对应。</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate><category>AI 阅读</category><category>事实核查</category></item><item><title>不用复杂平台，也能做一套小型 AI 评测集</title><link>https://lisiyao.ggff.net/posts/build-small-evaluation-set/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/build-small-evaluation-set/</guid><description>用一份样本表、明确的评分规则和固定复测流程，为日常 AI 任务建立轻量但可维护的评测集。</description><pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate><category>评测</category><category>AI 实践</category></item><item><title>有些任务不该交给 AI：一张判断清单</title><link>https://lisiyao.ggff.net/posts/when-ai-is-wrong-tool/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/when-ai-is-wrong-tool/</guid><description>从后果、可验证性、上下文与数据边界出发，判断 AI 应该执行、辅助，还是退出一项任务。</description><pubDate>Sat, 31 Jan 2026 00:00:00 GMT</pubDate><category>AI 边界</category><category>决策</category></item><item><title>提示词之前，先写一页任务说明</title><link>https://lisiyao.ggff.net/posts/ai-task-brief-before-prompt/</link><guid isPermaLink="true">https://lisiyao.ggff.net/posts/ai-task-brief-before-prompt/</guid><description>把目标、材料、边界与验收标准写成一页任务说明，再让 AI 参与，通常比继续堆叠提示词更容易得到可用结果。</description><pubDate>Mon, 12 Jan 2026 00:00:00 GMT</pubDate><category>提示工程</category><category>任务设计</category></item></channel></rss>