research-swarm

Multi-perspective research for complex strategic decisions uses four parallel agents to analyze a topic from different lenses, then consolidates structured findings into a unified synthesis highlighting consensus, contradictions, and blind spots.

Identifying blind spots in technology evaluation research requires applying multiple analytical lenses like skeptic, advocate, and first-principles thinking, then consolidating the contrasting findings to surface signals missed by single-lens analysis.

Due-diligence swarm analysis runs four parallel researcher agents that use web search and web fetch queries to write structured findings, which a synthesizer then consolidates into a final markdown document organized under a dedicated research directory.

Multi-perspective research synthesis supports market landscape mapping by deploying parallel agents to investigate the topic from distinct analytical lenses and consolidating their structured findings into a unified report with contradictions and blind spots.

To start a multi-agent research synthesis, you simply provide a research question; the system then automatically launches the parallel perspective agents and generates the final synthesis document without additional dependencies.

You should avoid a coordinated research swarm for simple factual lookups or when a single perspective suffices, because the multi-agent synthesis is specifically designed for complex due-diligence tasks requiring consensus and blind spot identification.