Agentic Research
For complex research tasks, the AI agent autonomously plans its research strategy, executes multiple searches, compares and cross-references findings, and delivers a comprehensive synthesis with full source attribution.
How it works
The agentic research mode takes a research question and breaks it into a multi-step plan. The agent decides what to search for, evaluates results, identifies gaps, runs follow-up queries, and iterates until it has a comprehensive picture. The full research trace is visible, showing every decision, search, and synthesis step. The final output is a structured report with citations.
Agentic research trace showing planning, searching, and synthesis steps
Why it matters
Some questions cannot be answered by a single search. They require combining information from multiple sources, noticing contradictions, and building a narrative. Agentic research automates the research workflow you would do manually -- reading, cross-referencing, synthesizing -- but does it in seconds across your entire knowledge base.
Research report with multi-source synthesis and citations