According to God of Prompt on Twitter, replacing traditional instruction prompts with question-based prompts—known as Socratic prompting—significantly improves output quality for large language models like Claude and ChatGPT. As reported by God of Prompt, shifting to this approach increased output ratings from 6.2 to 9.1 out of 10. This AI prompting technique offers practical business opportunities for companies seeking to maximize the value of generative AI models by refining prompt engineering strategies.

According to God of Prompt on Twitter, replacing instruction-based prompts with question-based prompts, a method known as Socratic prompting, significantly improved the output quality of large language models like ChatGPT and Claude3 from 6.2 to 9.1 out of 10. This approach encourages more thoughtful and accurate responses, as reported by God of Prompt. The trend highlights new business opportunities for enterprises and developers looking to optimize AI workflows and customer experiences with more effective prompt engineering strategies.

According to God of Prompt on Twitter, using Socratic prompting—by asking strategic questions about content types, posting frequency, and topic progression—can significantly increase engagement for B2B SaaS LinkedIn content. The approach encourages thoughtful content planning, helping businesses avoid audience fatigue and build more cohesive content calendars. As reported by God of Prompt, designing a 30-day calendar based on these principles can drive better results than generic instructions, highlighting a data-driven method for optimizing LinkedIn strategies in the SaaS sector.