deep-research

To conduct a literature review with citations, this research tool decomposes complex topics into focus areas, runs parallel web searches, cross-references claims across independent sources, and synthesizes structured findings with methodology and source citations.

The best way to synthesize market analysis data from multiple sources is to run parallel subagent searches, evaluate source authority and bias, cross-reference conflicting claims, and output a structured report with executive summary, findings, limitations, and recommendations.

Yes, you can cross-reference conflicting claims automatically. The process uses parallel subagents to gather diverse web sources, assesses accuracy and bias, flags conflicts for follow-up, and synthesizes verified data into a citation-backed report.

To structure a technology evaluation report, the system extracts key data via webFetch from parallel search results, cross-references claims, and outputs an executive summary, thematic findings, limitations, and actionable recommendations with numbered citations.

Yes, it works for verifying claims across multiple domains without manual evaluation. It automates broad discovery, assesses source authority, currency, and bias, and cross-references information to produce a structured, citation-backed synthesis.

Limitations of automated multi-source research include potential source access restrictions and the need to critically evaluate conflicting claims. The tool explicitly flags these limitations and methodology gaps in its final structured report output.