deep-research

To generate a cited research report, you need a multi-agent research process that conducts parallel web exploration, synthesizes findings into a structured markdown document with numbered citations, and outputs a separate bibliography file.

Multi-agent deep research is a technique that launches parallel subagents to explore technical, historical, and comparative perspectives simultaneously. You need it for complex literature reviews requiring comprehensive multi-source investigations and thematic synthesis.

Conduct parallel web searches by launching multiple focused research threads that cover different analytical perspectives, then synthesize the gathered information into a structured report with an executive summary and critical analysis.

Yes, you can commission a comprehensive technical deep-dive that uses high-parallel web exploration to compare competing architectures, resulting in a 15-page cohesive markdown whitepaper with 20 or more cited sources.

Yes, the multi-source research approach begins with iterative scoping interviews to define the project scope, followed by reconnaissance, parallel web exploration, and final synthesis into the cited report.

Automated subagents for complex research investigations are limited by the quality of web sources found during parallel exploration and require clear scoping definitions during initial interviews to ensure the final thematic synthesis stays relevant.