Why Hard-to-Evaluate AI Outputs Signal a Broken Product
Source: Indieblog
Products that make it difficult to verify whether an AI is working correctly expose a fundamental design failure—not a temporary limitation. The burden of evaluation shouldn't fall on users. Companies shipping opaque AI outputs haven't solved the core problem of trustworthiness and don't understand their own system's failure modes. They're asking customers to become QA testers, which signals the product isn't ready for real work.