In the era of information explosion, the mountain of "unread articles" in WeChat official accounts has long become a digital burden — saving equals reading, but opening them never happens. However, an AI information management tool called "Yujing" is quietly changing this dilemma. It not only helps "wake up" those neglected contents, but also converts them into actionable knowledge, making fragmented reading truly valuable.
The core positioning of Yujing is an intelligent cross-platform information hub. It supports one-click subscription to WeChat official accounts, podcasts, and mainstream websites, without having to switch to the original platform. All content is presented in a unified information flow, with cover images, summaries, and publication times clearly visible. This design greatly reduces decision-making costs — users can instantly judge the value of the content, effectively avoiding "clickbait" traps, and saying goodbye to ineffective clicks.
Even smarter is its smart channel feature. Just enter keywords like "Musk," "AI chips," or "carbon neutrality," and Yujing will automatically aggregate relevant articles across the web, building a personalized information flow. This means you no longer need to manually search through dozens of official accounts; the system has already completed the information filtering and real-time tracking for you, truly achieving "what you think is what you see."
The most surprising feature is its AI personal daily report. Every morning, Yujing automatically extracts key news from hundreds of sources you've subscribed to and organizes it by theme — technology, finance, industry updates, and more are all clearly visible. Even with a busy schedule, you can grasp the key information within 5 minutes.
Beyond aggregation, Yujing also has deep processing capabilities. Its web version supports uploading PDFs, Word documents, or pasting web links, and the AI can automatically parse structured content. Tests show that a 20-page academic paper can be accurately broken down into introduction, methodology, experimental results, and conclusions, greatly improving reading efficiency. However, OCR recognition for pure text images still needs improvement; if there is text in the image, the system cannot extract or analyze it yet.
Although the interface style feels familiar — some call it the "AI version of Toutiao" — the differentiation of Yujing lies in: it does not recommend information, but tames it. Users control keywords, subscription sources, and summary granularity, while the AI handles execution, summarization, and organization, truly achieving "user-centered" information management.
