Hi HN, I’m Tina Over the past months I’ve been frustrated with how often LLMs hallucinate — they generate answers with high confidence, but sometimes the information simply doesn’t exist. For teams relying on AI (content, research, finance, even legal), this can be a serious problem. So I’ve been working on CompareGPT, a tool designed to make LLM outputs more trustworthy. Key features: Confidence scoring → surfaces how reliable an answer is. Source validation → checks whether data can be backed by references. Side-by-side comparison → run the same query across multiple models and see consistency. You can try it here: https://test.comparegpt.io/home Right now it works best in knowledge-based queries (finance, law, science), and we’re still improving edge cases. I’d love to hear your thoughts, feedback, or even brutal criticism from this community. Thanks for reading!