deep-research

To coordinate parallel research agents, define subtopics and allocate researchers for parallel data gathering. The system orchestrates sub-agents to distribute work, combine findings, and produce sourced reports.

The best way to fact-check claims during automated report generation is using a verification stage. The system applies think_tool reflection to evaluate combined findings and rigorously verify core claims before reporting.

A structured research workflow handles complex topic synthesis by applying a five-step process: plan, delegate, synthesize, verify, and report. It distributes work across sub-agents and combines findings with think_tool evaluation.

Yes, you can use parallel delegation without manual management by providing a topic and scope. The system automatically plans subtopics, distributes researchers, synthesizes results, and generates a structured report.

Automated sub-agents for deep research require a clearly defined topic and scope to function effectively. Without structured input for the planning stage, the parallel delegation and synthesis workflow may produce inconsistent or unfocused findings.

Yes, the deep-research workflow produces reproducible and sourced findings. It coordinates plan, delegate, synthesize, verify, and report stages to ensure all insights are auditable and backed by structured verification.