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Automated topic research uses a cascade of tools like Exa and web search to investigate subjects, synthesizes findings into propositions, and files results with provenance for knowledge graph integration. It organizes information and suggests new research directions.

Topic research supports configurable depth levels, allowing you to specify light, moderate, or deep investigations. This flexibility ensures you can balance the thoroughness of information synthesis against processing time based on your specific research goals.

Researching new topics while overcoming information overload involves automating information synthesis to organize findings into clear propositions. The system identifies key sources, files results with provenance, and suggests further avenues for exploration to prevent knowledge gaps.

Configuration files are required to set tool preferences and domain vocabulary for topic exploration. These files ensure the deep researcher and web search cascade aligns with your specific domain requirements and automatically updates your research goals.

Chaining research results to downstream processing skills involves filing the synthesized information with full provenance first. This allows subsequent skills like distillation and connection to integrate the findings directly into your knowledge graph.

The research skill needs Exa and web search tools together to execute a cascade of investigations at varying depths. This multi-tool approach ensures comprehensive information synthesis, robust provenance tracking, and thorough topic exploration.