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In this brief monologue, Phil Risher explains his company's method for improving AI reliability for client businesses. They start by extracting recurring customer questions from phone calls, then scrape the entire web—including YouTube, the client’s website, and FAQs—to locate where those questions lack answers. When a question appears multiple times (e.g., six times) with no online response, they flag it as a knowledge gap, create a definitive answer, and publish it so AI platforms can retrieve the correct information. Risher argues that AI hallucinations and mistrust stem from unrecognized knowledge gaps; without systematically identifying and filling them, AI will generate unreliable, “magical” answers.
