Literature reviews - search arXiv/Semantic Scholar, get verified DOIs, classify papers (supporting/challenging/adjacent) Citation verification - check if DOIs are real via CrossRef API Research synthesis - extract methods, datasets, metrics from papers and compare them Idea critique - adversarial feedback on any claim or draft (counterarguments, gaps) Corpus benchmarking - ingest PDFs and benchmark your writing against successful papers Write papers? - it does not write anything. It helps you harden research, not generate text. Research help - search, verify, synthesize, and critique. It's a structured research pipeline. It uses multi-AI architecture to do this, i was trying to make it as cost-efficent as possible, bc its a tool primarily for students. It runs with OpenCode/Claude Code/CLI. I would appreciated any feedback, ideas, issues or contributions. Thank You!!!!!!!!