Example Gallery: Research and Science Agents

Searches Semantic Scholar, arXiv, or PubMed for a specified topic, retrieves the five most-cited papers from the past month, and sends a structured weekly digest with title, abstract summary, and relevance score.

University applicants, science students, teachers preparing lessons, and researchers who cannot read every new paper.

Staying current in a fast-moving field is a full-time job. An agent does the triage so the human can do the thinking.

A scientific paper API, a summarisation model, an email delivery tool.

Given two datasets or papers on the same phenomenon, reads both, identifies claims that appear to contradict each other, and produces a structured comparison noting sample sizes, methods, and divergence points.

Contradictions in the literature are often where the most interesting science lives — and where the most dangerous misinformation originates.

Document parsing, a reasoning model, a comparison output template.

Science teachers, students writing literature reviews, journalists covering research.

Accepts a list of URLs, DOIs, or uploaded PDFs. Retrieves metadata, formats citations in the chosen style (APA, MLA, Chicago), checks for duplicates, and exports a ready-to-use bibliography.

Citation formatting is pure mechanical work. An agent handles it in seconds instead of hours, with fewer errors.

A DOI/metadata API (CrossRef), a citation formatting library, a file export tool.

Any student writing an academic paper.

Connected to open climate datasets (NASA, Copernicus, NOAA), answers plain-language questions like 'How has average July temperature in Rome changed since 1980?', generates a chart, and explains the trend accessibly.

Climate data is publicly available but practically inaccessible to most people without technical skills. An agent closes that gap.

A public climate API, a data visualisation library, a language model for narration.

Students, teachers, journalists, and curious citizens who cannot interpret raw climate data.