AI Output Provenance for SaaS: Trace Answers Before They Become Liability
An AI answer can look clean, confident, and helpful while hiding the exact detail your team will need later: where did this claim come from? For AI SaaS builders, that question is no longer just a debugging detail. It affects trust, support, compliance, customer disputes, and whether your product can explain itself when a generated answer causes confusion. The risky pattern is simple: a user asks a question, your app calls a model, the model returns text, and you store only the final response....
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