deep-research

To generate an evidence-backed research report, you can use a guided clarification process to refine scope, decompose the query into subtopics, and run parallel web research to synthesize findings with confidence scoring.

Parallel research planning decomposes a complex query into non-overlapping subtopics, assigns multiple agents to investigate each one simultaneously via web search, and cross-validates the extracted JSON evidence to deduplicate facts and sources.

You structure web search findings by extracting claims into a JSON format, tiering source credibility across parallel investigations, and cross-validating claims to produce a final report with explicit confidence indicators.

Yes, depth-controlled decomposition supports broad market research by scaling the investigation across 3, 5, or 10 subtopics, ensuring comprehensive coverage of recent developments and explicit limitations across multiple areas.

The best way to synthesize cited claims is to orchestrate parallel agents for each subtopic, collect structured JSON findings, deduplicate overlapping facts, and cross-validate evidence to generate a final themed analysis.

You should avoid using parallel agents for web research if your task lacks the breadth requiring multiple subtopic decomposition, or if immediate, single-source answers are sufficient without explicit confidence and credibility synthesis.