multi-search

Multi-topic deep research is conducted by deploying independent research agents in parallel to perform multi-round web searches. This synthesizes findings into a structured research document containing a comprehensive overview and individual topic reports.

Automating information retrieval and summarization for complex case preparation is supported by deploying parallel research agents. It gathers information from various sources and synthesizes actionable insights into a unified, structured research document.

The best way to synthesize research findings from multiple subjects is through automated multi-round web searches followed by professional rephrasing. This generates a consolidated research overview alongside individual detailed reports for each topic.

The research agent does not generate new facts during information retrieval. It strictly focuses on gathering, summarizing, and professionally rephrasing existing information from web sources into a systemized research document.

You need to use parallel research agents when preparing for complex tasks involving multiple related subjects, such as intellectual property, market analysis, and competitor strategy, requiring in-depth and systemized information gathering.