deep-research

Verify technical choices by performing structured multi-source research to identify information gaps and validate unfamiliar libraries or APIs. This process ensures evidence-based conclusions by planning searches, executing parallel queries, and evaluating sources before acting.

Gather evidence and resolve conflicts using a multi-source synthesis process that compares data, flags uncertainty, and presents conclusions with confidence notes. This approach evaluates sources side-by-side to ensure technical validation and reliable information-gathering.

Plan and execute parallel queries by explicitly defining search plans and success criteria before starting. Run multiple data sources simultaneously to reduce latency, evaluate the gathered evidence, and synthesize the findings into a single technical validation result.

You need a structured research process when working with unfamiliar frameworks, libraries, APIs, or topics requiring current information. It prevents guessing by validating technical directions and identifying information gaps before taking implementation action.

Deep research flags uncertainty by assessing risks during the synthesis phase, comparing conflicting sources, and explicitly annotating conclusions with source citations and confidence levels to indicate the reliability of the evidence-based findings.