deep-research

Multi-angle research automation works by orchestrating 3-5 sub-agents to explore independent angles in parallel, cross-verifying findings from 10+ sources, and synthesizing a triangulated, evidence-backed report.

Source triangulation is the process of cross-verifying findings across multiple independent perspectives to produce an evidence-backed synthesis. You need it for complex questions requiring 10+ sources and multi-perspective analysis.

Yes, you can generate an executive summary by running parallel research tasks across 3-5 isolated angles, then synthesizing the triangulated findings into a structured final output suitable for executive review.

You verify research findings by applying phase-based triage and selective verification across 3-5 parallel sub-agents, ensuring evidence is cross-checked and triangulated before final synthesis.

The best way to handle complex research questions is using an orchestrator-sub-agent architecture that distributes the workload across parallel angles, triages findings by phase, and triangulates evidence from 10+ sources.

Automated research orchestration is limited by the need to specify 3-5 distinct angles upfront and depends on the availability of sufficient independent sources to complete the triangulation and synthesis process effectively.