AskCurator

AskCurator processes user questions by generating real Python code that joins tables, filters rows, and computes statistics on the spot. The system displays the full script alongside outputs so analysts can inspect, modify, and rerun steps to verify findings. This method replaces opaque AI responses with auditable calculations that update instantly when code changes. Privacy remains central because all files load and run inside a sandboxed browser environment. Only column names and question text reach the model for code generation, while actual values stay masked and local. The platform also maintains a library of reusable, community-reviewed code blocks that improve reliability over repeated use. Finished notebooks convert into shareable reports or repeatable workflows. Users can export clean summaries as PDFs or save analysis sequences to apply automatically to new data files each period.