deep-research

You can automate literature reviews, technology evaluations, market analyses, and policy assessments by scoping the topic, spawning parallel research subagents across five focus areas, and synthesizing cross-source validated findings into a formal, citation-backed report.

The phased research workflow sequentially executes scope definition, parallel discovery across subagents, rigorous source evaluation, information synthesis, and formal structured reporting to ensure comprehensive, citation-backed topic deep-dives.

Yes, you can use parallel subagents to gather diverse perspectives for a literature review by decomposing the complex topic into five distinct focus areas and running parallel discovery processes to collect and evaluate cross-source data.

This structured reporting approach works effectively for market analyses and policy assessments because it implements cross-source validation and rigorous source evaluation to synthesize comprehensive findings into formal reports using citations.

The best way to generate a citation-rich report on complex topics is to run a phase-driven workflow that uses parallel discovery subagents to collect diverse sources, evaluates them rigorously, and synthesizes the validated information into a structured document.

Yes, you need to define scope before running parallel discovery subagents because the phased workflow explicitly begins with scope definition to properly decompose the topic into five targeted focus areas for subsequent parallel research.