deep-research-pro

To generate a citation-backed research report, use a multi-agent parallel retrieval pipeline that decomposes complex questions, triangulates major claims across multiple independent sources, and packages the synthesized findings into Markdown, HTML, and PDF formats with a bibliography.

Triangulated claim verification in deep research is the process of cross-verifying major claims across three or more independent sources to ensure reliability, producing a claims verification table that validates evidence before final report synthesis.

You run multi-agent parallel retrieval by executing a structured multi-phase workflow that includes scoping, planning, retrieving, and synthesizing, utilizing parallel agent tracks with a strict write-after-search requirement to improve completeness.

Yes, you can review the research outline by requesting an interactive human checkpoint mode, which allows you to review the outline before the pipeline autonomously continues through retrieval, triangulation, and final packaging.

The best way to handle stuck-agent recovery during multi-agent orchestration is to use a reliability protocol within the parallel retrieval pipeline that automatically detects and recovers failed agent tracks to reduce failure modes and ensure complete research.

Packaged deep research reports are supported in Markdown, HTML, and PDF formats, providing a comprehensive briefing that includes a claims verification table and a bibliography for citation-dense outputs.