The biggest surprise while building an AI verification system wasn't the AI.
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" actually means. For example, im
Why it matters
This story from Reddit r/artificial is relevant to the Enterprise branch of the AI ecosystem and may affect models, products, or research direction.
Technical breakdown
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" actually means. For example, imagine two documents in the same credit package: A covenant certificate reports EBITDA as $12.4M The management accounts
Business impact
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