deep-research

To get deeply researched answers with citations, you can request a deep dive on your topic. The system decomposes the question into focus areas, evaluates source credibility, cross-references claims, and synthesizes evidence into a structured report with cited sources and noted limitations.

The best way to conduct multi-source information synthesis for a market evaluation is using a structured, phase-based workflow that discovers sources via parallel sub-research, assesses credibility, and synthesizes cross-referenced viewpoints into a comprehensive cited write-up.

Parallel subagent discovery works by decomposing a complex question into independent focus areas, executing multiple web searches simultaneously to fetch full articles, and cross-referencing the extracted claims to evaluate credibility and validate evidence.

Yes, you can use this deep research approach for literature and technology comparisons. It applies to deep dives, claim verification, and evaluations requiring breadth and depth across independent sources, synthesizing comparative viewpoints into a structured report.

Limitations of automated report writing with source evaluation include potential gaps in source coverage and the inherent need to note limitations within the final output. The system cross-references claims to mitigate shallow, single-source answers, but explicitly documents these constraints for transparency.