deep-research

Multi-source research with primary-source verification decomposes topics into sub-questions, reads authoritative sources in parallel, tracks claims to evidence, and synthesizes a cited report. This approach distinguishes verified findings from unsupported statements.

Adversarial verification in fact checking attempts to disprove important claims, surfaces disagreements, and identifies gaps. Source synthesis applies this by tracking claims to primary evidence before producing a final cited report.

Deep web research is needed when a quick lookup is insufficient and answers must withstand scrutiny. Market analysis, policy investigation, and technology evaluation require primary-source review, scope clarification, and browser-based access for login-gated sites.

Parallel sub-agents investigate complex questions by exploring multiple angles simultaneously during breadth-first investigation. This allows technology evaluation and background research to process independent sub-questions concurrently for comprehensive coverage.

Fact checking works with JavaScript-rendered and login-gated sites through browser-based access. This allows primary-source verification to read authoritative sources directly, tracking claims to evidence across complex web environments.