deep-research

To generate a structured report with citations, define a research question and scope, then the system orchestrates parallel subagents across multiple sources to synthesize findings with traceable citations. It applies a five-focus-area framework to ensure comprehensive coverage.

Multi-source research gathers diverse perspectives to synthesize credible insights, needed for literature reviews or market scans. A five-focus-area framework structures this gathering, using parallel subagents to summarize findings and identify knowledge gaps.

Yes, automated research supports high-stakes due diligence and market scans by evaluating source credibility and producing structured reports. It includes executive summaries and methodology disclosure to provide actionable conclusions for decision-making.

The best way to synthesize diverse sources into a literature review is applying a tree-like research approach with parallel subagents. This method gathers diverse sources, evaluates their credibility, and identifies research gaps for a structured final report.

To evaluate source credibility during automated research, the system applies a systematic framework that assesses gathered sources before synthesizing them. It cross-analyzes findings across multiple sources to ensure conclusions are traceable and credible.

Yes, deep-research operates with no external dependencies or components. You simply provide a topic and scope, and its internal parallel subagents and five-focus-area framework handle the multi-source gathering and structured report generation autonomously.