deep-research

Multi-source research on complex topics is conducted by decomposing broad inquiries into focus areas, executing parallel investigations, evaluating source credibility, and synthesizing findings into structured reports with citations.

Information synthesis is achieved by decomposing the topic, running parallel subagents to gather data, cross-referencing claims, and aggregating the verified findings into a detailed, structured report with clear sourcing.

Yes, this approach is suitable for detailed literature reviews, market analyses, and technology evaluations that require aggregating credible, multi-angle insights from various sources into a structured format.

Deep dive knowledge analysis evaluates source credibility by fetching top web results, analyzing the content, verifying the information, and cross-referencing claims against other gathered data during the investigation phase.

No specific dependencies are required to run parallel investigations for knowledge analysis, as the process operates independently to decompose questions and initiate subagents to gather findings.

Automated information synthesis relies on fetching top web results and cross-referencing claims, meaning its limitations depend on the accessibility and credibility of external sources available during the parallel investigation phase.