web-research

Deep web research on complex topics requires structured planning, delegating sub-tasks to research sub-agents, and synthesizing findings into a coherent report. This approach breaks broad topics into manageable subtopics for comprehensive coverage.

Sub-agent delegation uses the `task` tool to spawn multiple research sub-agents in parallel. This mechanism allows information gathering to cover multiple subtopics simultaneously, speeding up comprehensive web research and comparative analysis.

Comparative analysis and current information gathering are core use cases supported. By creating a research plan that delegates parallel sub-tasks to sub-agents, you can systematically synthesize web findings into a comprehensive market analysis report.

To synthesize web research findings into a coherent report, the system systematically reviews information gathered by sub-agents from local files. It integrates parallel findings into a comprehensive final output, ensuring all subtopic results are coherently combined.

The best way to structure a research plan for broad topics like market trends is to break the investigation into clear subtopics such as consumer demand, material innovations, and regulatory landscape, then delegate each to a specialized sub-agent.

No external dependencies are required. The web research process relies entirely on internal planning, the built-in `task` tool for delegation, and systematic synthesis of information from local files generated during the research phase.