DocuSurf

DocuSurf is an AI research assistant designed to empower researchers by automating and streamlining various aspects of the research process. DocuSurf uses a team of specialized AI agents, each tailored to handle distinct research tasks such as reference management, data extraction, paper categorization, and analysis. We allow researchers to create their personalized workflow according to their specific needs, requirements, and style.

For instance, a researcher conducting a meta-analysis can customize the behavior and style of our AI agents to align with their personal preferences, research objectives, and workflow nuances. They might create a workflow that configure our Paper Agent to gather studies from a certain topic, then have the Data Extraction Agent tailor the specific data extraction based on their unique criteria, followed by using the Data Analysis Agent to visualize findings in a manner that complements their analytical style. This level of personalization ensures that DocuSurf efficiently adapts to various research objectives, making it an extremely versatile tool, and ultimately, the only tool a researcher will ever need.

We would want to partner with Semantic Scholar to make it the default integration for our Paper Agent and Reference Agent. By leveraging Semantic Scholar’s API, our Paper Agent can effectively evaluate and recommend the most relevant papers, while our Reference Agent seamlessly manages and adds detailed citations and references to your bibliography. This partnership would ensure access to a comprehensive and up-to-date database of academic literature, greatly enriching the research experience for our users.

Semantic Scholar is just the beginning. We aim for DocuSurf to become an essential tool for researchers, integrating with various platforms, tools, and databases across different agents. Our focus is on evolving continuously, using AI Agents to make research more intuitive and effective. DocuSurf is not just a tool but a partner, enabling researchers to push boundaries and excel in their fields by using AI agents that communicate and collaborate to solve tasks, making researchers' lives easier.