research

To generate a multi-source research report, provide a topic and the system synthesizes evidence from various references into a single Markdown report. It returns complete findings, a confidence assessment, and open questions with minimal prompting.

Multi-source research synthesis is needed for architecture analysis, technology comparisons, or API deep-dives where a single search cannot answer. It combines evidence from various sources into one comprehensive Markdown report.

Yes, you can use it for technology comparisons and API deep-dives. It performs autonomous investigations to synthesize evidence into a source-backed Markdown report with actionable findings and a confidence assessment.

To investigate vague topics with minimal prompting, trigger the system with phrases like "research this" or "deep dive into". It autonomously sharpens vague research questions before generating the final evidence-backed report.

Yes, the research report includes a confidence assessment and sources. It curates evidence from multiple references to produce a complete Markdown document featuring actionable findings, open questions, and source citations.

Autonomous deep-research workflows rely on synthesizing available references, meaning output quality depends on source evidence. While it sharpens vague topics, it may still leave open questions when investigating highly novel or undocumented technologies.