构建个人笔记应用的需求说明：按人生章节组织笔记，由大模型建议关联，用时间线展示并生成每周回顾。
填写变量
填写后，下方提示词与复制内容会同步替换。
构建一个名为“Thread”的个人知识与叙事工具——一个将笔记连接成鲜活故事的第二大脑。
核心功能：
- 笔记捕获：快速输入，包含标题、正文、标签、日期，以及可选的“人生章节”标签（用户自定义时间段，例如“创业时期”或“柏林一年”）——章节标签用于构建叙事结构
- 连接引擎：{{llm_api}} 定期分析所有笔记，并建议条目之间的主题关联。用户会看到一个“建议的连接”面板——可逐条接受或拒绝。被接受的连接将创建双向链接
- 叙事时间线：使用 D3.js 构建的时间线，按章节对笔记进行分组。可放大至周视图，缩小至十年视图。点击任意笔记，可在其上下文条目中阅读
- 每周总结：每周日，AI 从当周笔记生成一段“本周回顾”文字——作为时间线中的特殊条目保存。逐步积累成可读的人生编年史
- 模式报告：每月一次——AI 识别重复出现的主题（提及 5 次以上的概念）、链接最多的理念（高连接密度）、以及“休眠”理念（超过 60 天未被引用，标记为“值得重新审视”）
- 章节导出：选择任意时间段的章节，导出为格式化的 PDF 叙事文档
技术栈：React、{{llm_api}}（用于连接建议、总结生成和模式报告）、D3.js（用于时间线可视化）、localStorage（支持 JSON 导入/导出以备份）。文学化设计——衬线字体，充足的留白Build a personal knowledge and narrative tool called "Thread" — a second brain that connects notes into a living story.
Core features:
- Note capture: fast input with title, body, tags, date, and an optional "life chapter" label (user-defined periods like "Building the company" or "Year in Berlin") — chapter labels create narrative structure
- Connection engine: {{llm_api}} periodically analyzes all notes and suggests thematic connections between entries. User sees a "Suggested connections" panel — accepts or rejects each. Accepted connections create bidirectional links
- Narrative timeline: a D3.js timeline showing notes grouped by chapter. Zoom out to decade view, zoom in to week view. Click any note to read it in context of its surrounding entries
- Weekly synthesis: every Sunday, AI generates a "week in review" paragraph from that week's notes — stored as a special entry in the timeline. Accumulates into a readable life chronicle
- Pattern report: monthly — AI identifies recurring themes (concepts mentioned 5+ times), most-linked ideas (high connection density), and "dormant" ideas (not referenced in 60+ days, surfaced as "worth revisiting")
- Chapter export: select any chapter by date range and export as a formatted PDF narrative document
Stack: React, {{llm_api}} for connection suggestions, synthesis, and pattern reports, D3.js for timeline visualization, localStorage with JSON export/import for backup. Literary design — serif fonts, generous whitespace.