A serious AI product would require several key features that are currently lacking in most "AI" tools, including making "checking for mistakes" a first-class feature, providing strong data provenance indicators, and offering better user control of reproducibility context. Additionally, such a product would likely utilize non-natural-language user interfaces, avoid first-person output and apologies, and prioritize transparency and trustworthiness over creating a false sense of security. The current generation of AI products often falls short in these areas, giving the impression of being more of a "grift" or scam than a legitimate software product, and it's essential to address these shortcomings to create truly reliable and trustworthy AI tools.