deep-research

Automate multi-source research by using a multi-agent workflow that dispatches parallel sub-agents to gather domain knowledge, stores findings to files, and synthesizes them into a structured report or actionable brief.

Gather domain knowledge for complex technical subjects by applying an autonomous three-phase workflow that plans research threads, executes parallel research, and synthesizes gathered data into a comprehensive brief.

Generate an actionable brief instead of a full structured report by selecting the flexible output format option during the synthesis phase, which adapts the final deliverable to your specific requirements.

Parallel research orchestration for market analysis works by autonomously planning and dispatching multiple sub-agents simultaneously to investigate different threads, storing file-based findings, and synthesizing them into a final report.

No external dependencies are required to run autonomous research planning. The workflow operates independently to coordinate parallel sub-agents, store findings to files, and perform synthesis without additional components.

Use a multi-agent approach for synthesizing information when tackling complex topics that require gathering and evaluating data from multiple sources, ensuring comprehensive coverage through parallel research threads before final synthesis.