What problem does it solve? Researchers and students struggle to design effective literature search strategies, choose the right academic databases, and systematically analyze papers for literature reviews and research projects. ## Core Features & Use Cases - Search Strategy Design: Builds optimized Boolean queries, recommends databases (Google Scholar, PubMed, arXiv, Scopus), and maps key terms and synonyms. - Paper Analysis Framework: Applies the three-pass reading method and critical analysis questions to evaluate methodology, results, and contributions. - Literature Review Synthesis: Structures findings into themes, methodological comparisons, research gaps, and formatted citations (APA, IEEE, Chicago). - Use Case: A graduate student starting a thesis on machine learning in education receives a complete search strategy with queries, prioritized databases, and a framework for synthesizing 30 papers into a structured literature review. ## Quick Start Ask the assistant to create an academic search strategy for your research topic, including recommended databases and Boolean search queries.