The article introduces evidence-carrying multimodal agents (ECA) that mitigate hallucination risks by requiring external evidence to authorize actions, significantly reducing unsafe execution rates. This approach enhances the reliability of AI systems that interact with various data sources, addressing a critical vulnerability in current models.