deep-research

To automate multi-source research with citations, define a topic and scope to trigger parallel subagents that evaluate diverse sources and synthesize findings into a citation-backed narrative report.

The best way to structure a technology assessment is to decompose the topic into distinct angles, run parallel research phases for diverse perspectives, and aggregate cross-checked findings into a comprehensive report.

Yes, you can use automated research for market analysis and policy evaluation by defining a replicable methodology that evaluates multiple sources and aggregates structured findings with traceable citations.

Parallel subagent synthesis works by decomposing a complex topic into multiple focus areas, researching them concurrently, and cross-checking the aggregated sources to produce a well-sourced final narrative.

Yes, this methodology supports replicable literature reviews by defining the research scope and phases upfront, applying source evaluation, and delivering structured findings with citations to ensure traceability.

You should not use automated multi-source research for topics requiring real-time data feeds or single-source verification, as this methodology relies on decomposing topics into parallel phases for diverse, citation-backed synthesis.