Sep 29, 2026 · 32 min
Vanja Todorovic builds a cross-check for unreliable AI
1580: The AI Lie Detector: How to Know When Your AI is Lying to You w/ Vanja Todorovic
As convincing AI errors become harder to spot, MelMat offers a way to compare competing answers before relying on them.
- 1AI-generated answers require verification because fluent language does not guarantee intelligence, accuracy, or truth.
- 2MelMat compares outputs from multiple AI engines, highlighting agreement and conflict across complex research questions.
- 3Vanja connects accountability learned in banking and courts with adaptability developed through immigration, entrepreneurship, and family life.
Don't miss
Vanja explains how MelMat uses four of eight available AI engines to compare answers and expose agreement or conflict.
The brief
Vanja Todorovic brings experience from immigration, banking, mortgage compliance, and legal accountability to a problem many AI users underestimate: convincing answers can still be wrong.
The episode’s central tension is simple: artificial intelligence can produce fluent responses without producing truth, leaving users to judge reliability after the answer arrives.
MelMat addresses that gap by comparing responses from multiple large language models, showing where they agree, where they conflict, and which answer may deserve closer scrutiny.
Vanja says the platform can choose among eight AI engines and use four at once, treating model diversity as a practical check on inconsistent outputs.
His broader lesson is entrepreneurial: repeated experimentation, adaptability, and confidence in distinctive experience matter as much as any single business idea.
Featuring
Mentioned
Wells Fargo & Co.
ChatGPTListen to the full episode and explore every guest, topic, and moment on PodLume.