RESEARCH
AI agent verification - can UVRN receipt AI-generated claims?
Explored whether the Delta Engine can be used to verify AI-generated outputs across multiple model runs. If the same prompt sent to 3 models produces scores within 5% of each other, that is a measurable consensus signal. Early finding: this is a novel use case with no direct competitor.
Findings
- Multi-model consensus is a natural Delta Engine application
- Threshold may need tuning for LLM output variance (10% rather than 5%)
- Could position UVRN as infrastructure for AI output verification - not just data sources