deep-research

Multi-source research works by decomposing your question into five non-overlapping focus areas, then executing parallel subagents to gather and cross-validate evidence from multiple sources before synthesizing a structured report.

The best way to structure research findings is using a standardized report format. This method produces an executive summary, detailed findings, analysis, identified limitations, and a complete organized sources list from synthesized multi-source data.

Yes, you can research these areas simultaneously. The process splits your topic into five angles including Market & Competition, Technology, and Policy & Regulation, running parallel subagents to search and extract data for each independently.

To identify evidence gaps, the research synthesis cross-validates extracted data across multiple sources. The final report explicitly highlights missing information and outlines necessary further inquiries within its analysis section.

Limitations of automated multi-source research include dependency on web search results and potential gaps in available evidence. The output report explicitly documents these limitations and identifies areas requiring further manual inquiry.