vc-research

Multi-agent research triangulation works by launching three independent agents in parallel to gather diverse perspectives on the same questions, then merging their reports into a single gap-free synthesis document ready for implementation and decision-making.

Researching unknown APIs and assessing libraries is best handled by a tri-agent research approach, where three independent agents investigate in parallel and synthesize findings into one actionable document to ensure gap-free, ground-truth insights for architecture decisions.

You co-define a research plan collaboratively, then spawn three independent agents to execute parallel research on the defined questions, ensuring diverse perspectives are gathered before synthesis into a single coherent report.

Use tri-agent parallel research instead of a single agent when a single perspective is insufficient, such as evaluating unknown APIs, making architecture decisions, or assessing libraries where triangulated ground-truth insights are required for a gap-free report.

Yes, you can use parallel AI agents to merge diverse perspectives by spawning three independent agents to research the same questions, then synthesizing their separate reports into a single gap-free implementation document ready for review.