deep-research

Verified research with multi-source citation tracking is executed via a multi-phase pipeline that triangulates claims across independent sources. It mandates evidence retrieval and adversarial critique before synthesizing findings into a structured report.

Evidence triangulation is the process of cross-verifying claims across multiple independent sources to ensure accuracy. You need it for complex tasks like literature reviews or due diligence where source reliability and citation tracking are critical.

Yes, you can use web-search and browser-automation tools for deep research analysis. The pipeline requires integration with these tools to perform evidence retrieval, verification, and adversarial critique during the research phases.

The best way to package research findings into a knowledge graph is through a structured research pipeline that automatically cross-links entities and sources. This process synthesizes verified data into a knowledge-graph-native format after retrieval and triangulation.

Yes, deep research supports different intensity tiers for quick exploration. It operates across four intensity tiers ranging from quick exploration to comprehensive ultradeep analysis, accommodating complex multi-source investigations.

You should not use an automated research pipeline when web-search and browser-automation tools are unavailable, as the pipeline requires integration with these dependencies to execute evidence retrieval, verification, and adversarial critique.