According to God of Prompt (@godofprompt) on Twitter, implementing role-based prompting with explicit, measurable constraints significantly enhances the quality and specificity of AI-driven outputs for engineering teams. Instead of generic instructions like 'act as an expert,' engineers are encouraged to define roles by expertise and set strict requirements such as memory limits, inference time, and optimization goals. This approach is particularly impactful in real-world AI applications, such as designing transformer architectures for production retrieval-augmented generation (RAG) systems, where constraints like VRAM usage and inference speed are business-critical. By adopting this prompt engineering framework, enterprises can generate more actionable, context-relevant AI responses, leading to improved system performance, faster deployment cycles, and tangible competitive advantages (source: @godofprompt, Twitter, Dec 16, 2025).