deep-research

Multi-source research with citations is automated by decomposing a topic into five parallel focus areas, running subagent discovery, evaluating sources, and synthesizing a structured report with cross-referenced citations for decision-making.

Structured topic analysis is a phased research methodology that scopes, researches, and synthesizes complex subjects. You need it when a topic requires multi-angle analysis and output-ready reports with traceable sources for documentation or presentations.

To generate a cited research report, the topic is decomposed into parallel subagent searches across multiple sources, findings are cross-referenced for reliability, and all claims are synthesized into a final structured document with supporting citations.

Yes, this research approach is designed for broad topics requiring multi-angle analysis. It decomposes complex subjects into five distinct focus areas and runs parallel subagent research to accelerate discovery and ensure comprehensive coverage.

The best way to automate multi-source research is using a structured methodology with parallel subagent research. This accelerates discovery across multiple sources, evaluates reliability, and produces a synthesized, output-ready report with citations, reducing manual aggregation time.

You should not use parallel subagent research for simple topics that do not require multi-angle analysis or structured reports. It is built for complex subjects needing comprehensive decomposition, source evaluation, and cross-referenced citations for decision-making.