An AI research agent combines a model with search, browsing, retrieval, extraction, note-taking, and reporting tools. It can investigate a question across several sources, retain evidence, compare claims, and produce a structured result rather than answering only from model memory.
Research quality depends on source access and verification. The agent should preserve URLs and publication details, distinguish primary from derivative evidence, report inaccessible sources, avoid treating search rank as credibility, and leave consequential conclusions open to independent human review.
ELI5
A research agent is an AI system that can carry out several research steps instead of giving a quick answer from memory. It may search, open sources, collect notes, compare claims, and organize the evidence into a report.
For example, when asked to compare two new products, it could read the manufacturers' specifications, check independent test results, and show which source supports each conclusion. Its answer is only as dependable as the sources it can reach and the care it takes when checking them.
How is an AI research agent different from a search engine?
A search engine retrieves pages, while a research agent can plan searches, inspect results, extract evidence, compare sources, and draft conclusions.
Can an AI research agent verify its own report?
It can run useful checks, but independent source inspection and external review remain important because the same system can repeat its original mistake.
