Over the last few months I've been building a prototype around a question I can't stop thinking about: How do you know when an AI-generated financial claim is actually trustworthy? The obvious answer is "use a better model." The more …

​ One of the first ideas I had while planning our AI verification prototype was to add a confidence score to every result. The more I thought about it, the less I liked the idea. Imagine an AI says: "EBITDA = $12.3M (96% confidence)" W…

Over the past few weeks, I've been building a prototype that checks AI-generated financial claims against source documents. I expected the hardest part to be the language model. It wasn't. The hardest part has been defining what "correct&q…

Over the last few months, I've been thinking about one question: Why do we trust AI answers simply because they sound confident? In many domains, that confidence is harmless. But in finance, a single incorrect number can influence lending decisions…

AutoFlow Research Initiative — Looking for Deep Technical Thinkers Over the last several months, I've been exploring a question that sits at the intersection of AI, verification, trust, and decision systems: Can we build systems that independently …

AI models have become incredibly capable. ​ But one problem remains: ​ Trust. ​ Even state-of-the-art models hallucinate, especially in high-stakes industries like finance and healthcare. ​ At AutoFlow, we're researching…