deep-research

Multi-source research with triangulation systematically collects and cross-verifies diverse evidence to ensure accuracy. You need it for explicit research requests, market landscape analyses, and verification tasks requiring structured reports with source credibility scoring.

To conduct a structured market landscape analysis, you systematically scope the topic, plan the research, triangulate evidence from multiple sources, and synthesize findings. This yields a structured artifact set with key facts, source quality assessment, and gaps.

Yes, you can use it for academic reviews. It evaluates evidence systematically and delivers structured reports with source credibility scoring, applying a phase-based methodology to scope, plan, triangulate, and synthesize diverse academic sources.

The best way to verify claims is through triangulation of evidence from multiple independent sources. This approach cross-checks notable claims and generates a source quality assessment to identify gaps and ensure the synthesized information is credible.

The structured research methodology returns a comprehensive artifact set including Key Facts, Notable Claims, Source Quality Assessment, Gaps, and Sources. These artifacts provide a transparent breakdown of the synthesized evidence and its credibility.

Yes, this approach works without external dependencies or components. It uses a frontmatter-driven discovery method with YAML to capture research parameters and executes the multi-source synthesis independently to return the structured artifact set.