According to @godofprompt on Twitter, advanced AI users are now routinely comparing outputs from multiple large language models—including Claude, Gemini, ChatGPT, Grok, and DeepSeek—to select the highest-quality responses for their needs (source: @godofprompt, Dec 8, 2025). This multi-model prompting workflow highlights a growing trend in AI adoption: instead of relying on a single provider, users are optimizing results by benchmarking real-time outputs across platforms. This approach is driving demand for AI orchestration tools and increasing competition among model providers, as business users seek the most accurate, relevant, and context-aware answers. The practice creates new opportunities for startups and enterprises to build AI aggregation platforms, workflow automation tools, and quality-assurance solutions that maximize productivity and ensure the best possible results from generative AI systems.