Triall is an innovative AI tool designed to verify the accuracy of AI-generated answers by employing a unique multi-model approach. It operates by utilizing three distinct AI models that independently generate responses to user queries. These responses undergo a blind peer review process, where each model evaluates the others without knowledge of their authorship. This method not only enhances the reliability of the answers but also highlights discrepancies among the models, providing valuable insights into potential inaccuracies. Key features of Triall include pre-analysis of questions to identify hidden assumptions, real-time web searches to ensure current information is used, and adversarial refinement, where the best answer is rigorously tested against counterarguments. The tool also incorporates anti-sycophancy detection to monitor over-compliance risks, ensuring that the models do not simply agree with user expectations. By checking claims against live web sources rather than relying solely on AI-generated content, Triall aims to mitigate the risk of AI hallucinations, a common issue in AI responses. This tool is particularly beneficial for researchers, content creators, and professionals who require high levels of accuracy and reliability in AI-generated information. With a freemium pricing model, users can access three free sessions without the need for signup, making it an accessible option for those looking to enhance their AI interactions.