According to @godofprompt, recent tests across leading language models such as Claude, GPT4, and Gemini show that using specific persona configurations significantly enhances output quality. The analysis, as reported on Twitter, involved 47 persona tests and revealed that generic personas yield only 60% quality, while specific personas achieve up to 94% quality. This finding underlines practical business opportunities for companies leveraging large language models, emphasizing the need for tailored prompts to maximize the effectiveness of AI-driven solutions.