An artificial intelligence 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.
