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Aletheia

英文阅读时的语境查词与复习In-context lookup and review while reading English

  • AI
  • LLM
  • iOS

Aletheia,意思是「照亮」——像灯一样点亮阅读时的困惑和迷茫。希腊语词根也常被译作「去蔽」。这是我做的第二个项目,核心是在英文阅读时进行查词;它也是我对「研究与分析工具」的早期实验——在长文里划词、高亮,把生词摘出来生成可复习的卡片。

非侵略性的查词

查词的交互没有侵略性,做得相对简洁,不会剧烈改变阅读样式,不会搞出五六种颜色标注把注意力全吸走。传统词典可能给出 5 到 10 种含义,用户需要自行匹配,这对阅读过程是巨大的阻力。

我们调用 LLM,将查词所在的上下文发送给 AI Agent,让其返回相关的语境含义——结合 context 查询单词在语境中的含义,而不是调用传统词典。

查词后的复习

查词后如果不复习,效率很低。因此又做了一个简单的复习模块,复习交互直接引用了第一个项目(创客计划)中使用的左滑、右滑、上滑、下滑等手势,实现了复用。

这条 highlight → 结构化 → 卡片 流水线没有留在草稿里,而是在 Trace 中被收敛成独立产品。Aletheia 是实验室,Trace 是产品。

Aletheia means “to bring to light” — a lamp held up to the confusion of reading. The Greek root is often rendered as “unconcealment.” It is my second project: looking up words while reading English, and an early experiment in tools for research and analysis — select, highlight, and pull unfamiliar words into cards you can review.

Lookup that does not invade

The lookup interaction is quiet. It does not wreck the page with five or six highlight colors that steal attention. A traditional dictionary may offer five to ten senses; you have to match them yourself, which is a real tax on reading.

We send the surrounding context to an AI agent and get back the sense that actually fits — lookup in context, not a dump from a dictionary.

Review after lookup

Lookup without review is cheap. So there is a small review module, reusing the swipe gestures (left, right, up, down) from the first project, Maker Plan.

That highlight → structure → card pipeline did not stay a draft. It was tightened into a product of its own in Trace. Aletheia is the lab; Trace is the product.