Gatsbi

Gatsbi is an AI-powered research assistant designed to support academic researchers, graduate students, and professional scientists throughout the entire research lifecycle. The platform’s primary function is to transform a user’s initial research idea into a fully structured academic paper manuscript, complete with citations and figures. Unlike simple text generation tools, Gatsbi actively identifies research gaps by analyzing the user’s input topic and proposing original hypotheses or novel angles that are not yet saturated in the literature. This gap‑detection capability helps users avoid rehashing existing work and directs them toward genuinely unexplored areas. For writing academic papers, Gatsbi accepts rough notes, prior materials, or bullet‑point outlines and automatically expands them into coherent manuscript sections. It generates in‑text citations from a large corpus of academic sources, formats references according to common citation styles, and can produce figures such as graphs or diagrams based on the user’s data descriptions. The tool is particularly useful for the drafting stage of a paper, where it can produce a first draft that the author then refines, saving hours of repetitive writing work. A second major function is literature screening and synthesis. Gatsbi can process large batches of academic articles, extract key information such as study design, sample size, findings, and statistical results, and then synthesize this data into summary tables or narrative overviews. This is especially valuable for systematic literature reviews (SLRs) and meta‑analyses. The platform automates the screening of abstracts and full texts against predefined inclusion and exclusion criteria, then performs data extraction and even basic statistical pooling for meta‑ana