deepsearch

Multi-round web research is automated by orchestrating iterative web searches and LLM-powered synthesis to produce a structured Markdown report. It tracks topics across rounds to avoid repetition and aggregates findings into a comprehensive final output.

Synthesizing complex topics with up-to-date information is best handled through a workflow-driven deep search that uses iterative analysis. This process aggregates real-time web search results into a comprehensive, evidence-backed Markdown report.

Tracking research progress across multiple search rounds is supported via a JSON-driven decision workflow. It monitors topics and findings iteratively, ensuring traceable decisions and preventing repeated topics for reproducible research outputs.

Search depth for iterative web research is configurable when initiating the query. You can specify the desired depth to control the intensity of the multi-round web searches before generating the final Markdown research report.

A workflow-driven deep research tool is needed for complex topics requiring comprehensive synthesis and up-to-date information. Unlike a single web search, it coordinates multi-round searches and iterative topic refinement to yield clear, evidence-backed reports.

The multi-round deep search outputs the final report in Markdown format. This structured document aggregates the synthesized findings from the iterative web searches, providing a clear and comprehensive research summary.