Deep Research

Multi-source synthesis ingests 30–50 diverse sources, classifies them as primary, secondary, or tertiary, and applies CRAAP-lite scoring to produce a structured report with explicit per-finding confidence levels and citations.

Automating a literature review uses configurable depth settings to ingest sources and generate evidence-backed findings, complete with corroboration-based confidence levels and a falsifiable claims section for transparent tracking.

Deep research supports shallow quick passes alongside full deep investigations, allowing you to configure the depth to get rapid information synthesis or comprehensive reports with memory-enabled context tracking.

This is ideal for risk assessments and topic deep-dives because it classifies sources into primary, secondary, and tertiary tiers while applying CRAAP-lite scoring to ensure evidence-backed findings and credible results.

Evidence-based research handles source credibility by classifying 30–50 sources per run and applying CRAAP-lite scoring, grounding each finding's confidence level in corroboration across multiple sources.

Automated research synthesis requires handling 30–50 sources per run and depends on configurable depth settings, meaning shallow passes may lack the corroboration needed for complex investigations requiring high confidence levels.