Shibei

The second feature group centers on AI Insights and Deep Research. AI Insights goes beyond simple summarization by performing smart analysis of each paper’s innovations, methodologies, and research contributions. It categorizes the type of contribution—new method, dataset, theory, etc.—and highlights what makes the work notable. This helps users quickly decide whether to dive deeper. Deep Research takes interaction further by enabling multi-turn conversations with the AI based on the full content of a paper. Users can ask questions like “How does this method compare to X?” or “What are the limitations?” and receive detailed, contextual answers. This feature effectively turns the AI into a research partner that can discuss papers in depth. For example, after reading a summary, a researcher can immediately explore the methodology through a back-and-forth dialogue without having to read the entire paper text. These capabilities combine to transform passive reading into active exploration.

The third feature group comprises Multi-Source aggregation and the Journals browser. Shibei pulls papers from multiple leading sources including arXiv, PubMed, medRxiv, and others, ensuring that users have access to a broad spectrum of preprints, peer-reviewed articles, and medical research. This multi-source approach is crucial because important breakthroughs often originate in different databases. Users do not need to switch between sites; Shibei consolidates them into a single daily feed. Additionally, the Journals section allows users to browse top academic journals and subscribe to specific research areas. Subscriptions deliver personalized daily highlights (available in Pro and Ultra plans) that adapt to the user's interests. The Journals feature makes it easy to follow specific publication venues, ensuring that users never miss papers from their favorite journals. Together, Multi-Source and Journals provide comprehensive coverage with customization, making Shibei a one-stop platform for research monitoring.

Shibei's overall workflow is designed for seamless daily use. Each day, the system aggregates new papers from its connected sources and runs them through AI models that generate summaries and insights. These are then organized into a personalized feed that users can review at their convenience. Users can start by scanning the Paper Overview list, click into any paper to see its AI Insights, and explore its connections via the Knowledge Graph. If a paper piques deeper interest, the Deep Research chat feature allows for detailed questioning. Additionally, users can manage their Research Lists (a feature with limits based on plan) to save papers for later review, and subscribe to specific journals or research areas to tailor the daily highlights. The entire interface is clean and efficient, minimizing distractions. Shibei also offers tiered plans—Free, Pro, Ultra—that increase the monthly deep research queries, research list capacity, and add features like daily highlights. This workflow ensures that the time from opening the tool to understanding new research is as short as possible.

Concrete scenarios demonstrate Shibei’s value. A PhD student in machine learning can start their morning by checking Shibei’s daily feed and quickly spot a new state-of-the-art model on arXiv. The AI summary highlights the key methodological advance, and the Knowledge Graph shows related papers. The student can then use Deep Research to ask the AI how this new approach compares to a previous method, receiving a detailed comparison without reading both papers fully. This saves hours of manual literature review. For a lab aiming to track breakthroughs in cancer research, the multi-source aggregation covers both PubMed and medRxiv. The lab subscribes to relevant journals and receives a personalized daily highlight each day. The principal investigator uses the Knowledge Graph to discover new collaborations between authors, leading to potential partnerships. In each case, Shibei reduces the time spent on literature monitoring and increases the capacity to engage with new findings actively, accelerating the pace of research.

Shibei is built for academic researchers, scientists, medical professionals, graduate students, postdocs, and R&D teams in industry who need to monitor literature efficiently. The platform is web-based, accessible from any browser, and requires no installation. Pricing is designed to scale with need: a Free plan offers unlimited Paper Overview, 5 Deep Research queries per month, up to 2 Research Lists, and full access to Knowledge Graph and Journals. Pro and Ultra plans (coming soon) increase these limits and add personalized daily highlights and priority support for teams. Shibei’s strength lies in its combination of daily curation, AI-powered summarization, and interactive features like the Knowledge Graph and Deep Research. By consolidating multiple sources and providing intuitive tools for exploration, Shibei solves the fundamental problem of staying current in an era of overwhelming scientific output. For any researcher seeking to reclaim time and deepen their understanding of the literature, Shibei is an indispensable AI research assistant.