research

Structured research prevents hallucinations by enforcing scope definition, multi-source collection, and triangulation. You validate claims across at least three independent sources, score source credibility by trust level and recency, and synthesize findings into a reliable report.

Comparing libraries requires a phased methodology: Scope, Collect, Validate, Synthesize, and Deliver. You define evaluation criteria, gather data from multiple sources, cross-validate claims through triangulation, and synthesize the results into a deliverable report backed by evidence.

Source credibility scoring evaluates research data by assigning trust levels and analyzing recency. This mechanism filters out outdated or unreliable information, ensuring that your technology evaluation and final synthesis rely only on validated, high-trust sources.

Yes, the structured methodology applies directly to exploring unfamiliar codebases. You define the investigation scope, collect information from multiple references, validate findings through triangulation, and synthesize the codebase architecture into a comprehensive report.

Scoping defines the boundaries and objectives of your technology research before data collection begins. It establishes what frameworks, libraries, or codebases to investigate, sets evaluation criteria, and creates guardrails to keep the research focused and aligned with deliverables.

Triangulation requires validating claims across multiple independent sources to achieve reliable conclusions. By cross-referencing data during the validation phase, it acts as an anti-hallucination guard, preventing unverified information from skewing your technology evaluation.