deep-research

Multi-source research with cross-source validation is performed by running parallel subagents across five non-overlapping angles to gather diverse evidence. This phase-driven workflow ensures depth and produces citation-rich findings with traceable source URLs.

Coordinating scattered sources into a structured, cited report is achieved through a phase-driven workflow that guides you from scope definition through synthesis to reporting. It builds a traceable evidence base with cross-referenced claims and source URLs.

Yes, parallel subagents can be used to gather diverse evidence for market analysis and technology evaluation. The system defines five non-overlapping research angles and runs subagents concurrently to ensure comprehensive coverage and cross-source validation.

To start a multi-phase exploration for source-backed synthesis, provide a broad research prompt. The system initializes the workflow, deploying parallel subagents to gather evidence and produce a structured, cited report with verified claims.

Multi-source research works effectively for evaluating new technologies with market and policy dimensions. It applies cross-source validation to ensure credibility, coordinating parallel subagents to cover diverse angles and deliver reproducible findings.

You should not use a phase-driven workflow for multi-source research when your task requires only a single, quick lookup rather than comprehensive cross-source validation. This approach enforces structured phases and parallel subagents designed for deep, reproducible findings.