Validation Intelligence
Validation Intelligence retrieves, validates, contextualizes, generates, and prepares information before it influences technical decisions, learning, or performance.
What is validated
For technical requests, the backend can retrieve evidence, classify source authority, detect conflicts, identify missing evidence and production risk, and carry that context into technical analysis and prepared workflows. The exact metadata depends on the request and available evidence; absence of a field is not proof that validation passed.
Why it matters
Ordinary generation can produce fluent output without exposing its evidence boundary. Ivorleaf returns persistent context and, when generated, signals such as:
technical_analysis.analyses[].validation_statustechnical_analysis.analyses[].confidencetechnical_analysis.analyses[].assumptionstechnical_analysis.analyses[].unknownstechnical_analysis.analyses[].riskstechnical_analysis.analyses[].sources- workflow
validation_summary - implementation-package
validation
Applications should inspect these signals before allowing technical guidance to influence execution.
Validation is contextual
validation_level values in technical analysis are currently strong, moderate, or limited. They are computed from available evidence, official-source use, conflicts, and unknowns. A high-risk or security-sensitive finding, missing grounding, evidence conflict, or upstream review signal can cause human_review_recommended to be true.