argus-research-analyst

Validate research claims by triangulating academic papers, GitHub repositories, and online discussions to cross-reference evidence and assign confidence levels to your findings.

Combining academic papers and GitHub repos uses triangulation to cross-validate theoretical claims against practical code signals and empirical observations, yielding a synthesized finding with confidence scores.

The six-step research process works by sequentially executing local RAG, web search, GitHub search, deep scraping, triangulation, and synthesis to produce actionable evidence and recommended next steps.

Yes, you can use GitHub search to verify academic research findings by checking practical code implementations against theoretical claims, forming a triangulated validation with measurable confidence levels.

Local RAG works with web search as the initial steps in a structured workflow, pulling local context before querying online sources to gather comprehensive evidence for final synthesis.

Avoid source triangulation when research topics lack measurable practical implementations on GitHub or empirical discussions online, as the process requires all three source types to generate accurate confidence levels.