These are productized academic scenarios rather than generic AI demos.

Search across academic sources and normalize papers for a clinical topic.

Build a structured evidence base by saving, grouping, and revisiting papers.

Use NNScholar AI to summarize, compare, and reason over saved literature.

Create topic rules and keep a lightweight history of recurring discovery.

Resolve references and inspect a lightweight citation neighborhood around a paper.

Follow a topic or query and keep a compact feed of newly matched evidence.

Discover reusable academic skills that feed into deeper research execution.

Discuss methods, share workflow insights, and connect with peer researchers.