deep-research

Multi-source research synthesizes findings by triangulating evidence across Tier 1-3 sources, cross-verifying claims, and generating a structured report with inline citations, key findings, and a comprehensive sources list.

Source credibility scoring evaluates evidence quality by tiering sources and cross-referencing claims to note discrepancies. It ensures academic literature reviews rely on verified data, producing structured outputs with executive summaries and inline citations.

Yes, market landscape studies and technology evaluations require multi-angle analysis. This approach triangulates evidence across multiple source tiers, cross-verifies claims, and delivers narrative reports with executive summaries, findings, and inline citations.

Generating cited reports with triangulated sources involves gathering evidence from Tier 1-3 sources, cross-verifying claims, noting discrepancies, and synthesizing findings into narrative sections with executive summaries, inline citations, and a final sources list.

The depth framework supports Quick, Standard, and Deep research tasks. This flexibility allows you to scale the multi-source triangulation and structured report generation process according to the complexity of your topic.

Automated multi-source triangulation is not ideal when your topic lacks sufficient Tier 1-3 sources to cross-verify claims, or when real-time proprietary data is required, as the framework relies on synthesizing available evidence into structured reports.