According to God of Prompt on Twitter, evidence-grounded generation is emerging as a critical pattern in AI, where each claim is explicitly tagged with its source, and inferences are accompanied by stated reasoning and confidence scores (source: @godofprompt, Jan 16, 2026). This approach mandates that AI-generated outputs use verifiable examples and traceable evidence, significantly improving transparency and trust in generative AI systems. For enterprises and developers, adopting explicit evidence tagging can address regulatory requirements, reduce risks of misinformation, and enhance user confidence—creating clear business opportunities in regulated industries and applications demanding high accountability.