According to God of Prompt on Twitter, a Reddit user detailed their experience after 147 failed ChatGPT prompts, ultimately achieving success through systematic prompt engineering and iteration (source: reddit.com/r/ChatGPT/comments/1lnfcnt/). This case highlights the importance of persistent experimentation in AI prompt design, which can lead businesses to better leverage large language models for practical applications such as customer support automation, content generation, and workflow optimization. The real-world example demonstrates how refining prompt strategies can significantly improve AI output quality, reducing costs and increasing efficiency for enterprises adopting generative AI (source: God of Prompt, Twitter, Dec 24, 2025).

According to God of Prompt (@godofprompt), advanced ChatGPT prompt engineering tools now act as 24/7 prompt engineers, enabling continuous AI-driven workflow optimization. This development allows businesses to automate prompt creation, refine AI outputs, and maintain round-the-clock productivity without manual intervention. The integration of such prompt automation solutions streamlines content generation, customer support, and data analysis workflows, opening new opportunities for companies to scale their AI operations cost-effectively and efficiently (source: Twitter, Dec 24, 2025).

According to God of Prompt on Twitter, a growing trend in art galleries worldwide involves the use of AI-generated text panels—often produced using ChatGPT—to describe artworks. The source highlights that these labels now feature repetitive language, identical structures, and telltale em-dashes, suggesting that galleries are relying on generic AI prompts with minimal customization (source: @godofprompt, Dec 22, 2025). This practice results in vague, abstract, and interchangeable descriptions that diminish the distinctiveness of both the art and the gallery experience. For the AI industry, this signals a rising demand for specialized, high-quality prompt engineering, as well as opportunities for businesses to offer tailored generative AI solutions for museums and cultural institutions. It also underscores the need for human-in-the-loop content creation to preserve authenticity and audience engagement in creative fields.