Step-by-step workflows and tool comparisons for using AI at every stage of the research process.
A structured workflow for using Elicit and Semantic Scholar together to find, screen, and extract from a large literature — built around the specific demands of a PhD-level review rather than a quick search.
How to upload a dataset to Julius AI, use natural language to run descriptive statistics, generate visualizations, and identify patterns worth investigating — with notes on verifying the code it writes.
A practical workflow for uploading a paper collection to NotebookLM, asking targeted questions across sources, and building a working synthesis — without reading every paper in full before knowing what matters.
How to use Zotero as the foundation of a research reading system, combine it with AI tools for synthesis, and maintain a citation library that actually stays organized.
A practical step-by-step workflow for using AI tools to accelerate systematic literature reviews — from initial discovery through structured extraction, synthesis, and reference management.
A practical comparison of the four most-used AI tools for academic literature review — covering where each one fits, honest limitations, and recommended combinations by project type.