According to @godofprompt on Twitter, recent research indicates that using direct, even rude, prompts with large language models such as ChatGPT-5.2, Claude Sonnet, and Gemini can improve response accuracy by 4% compared to polite phrasing. This finding highlights a practical trend in AI prompt engineering: models perform better when instructions are clear and to the point, rather than when wrapped in polite language. For businesses leveraging AI for content generation or automation, adopting more direct prompt strategies can translate into measurable performance gains and improved efficiency. This insight opens up new optimization opportunities in enterprise AI workflows and prompt design (source: @godofprompt, Twitter, Jan 23, 2026).

According to @godofprompt on Twitter, implementing structured prompt engineering techniques—such as guiding AI models through planning, execution, and verification steps—dramatically improves output accuracy. Instead of generic prompts like 'do the thing,' providing a scaffolded approach enables AI models to deliver more reliable results. The difference between 70% and 95% accuracy is often attributed to prompt design rather than the underlying model's capabilities (source: @godofprompt, Dec 10, 2025). This insight highlights a major business opportunity: by investing in advanced prompt engineering, enterprises can unlock greater value from existing AI systems without costly model upgrades, directly impacting operational efficiency and competitive advantage.

According to @Smol_AI, OpenRouter has published a groundbreaking empirical study analyzing 100 trillion tokens to present the current state of AI as of December 2025. The study, shared via OpenRouter’s official X account, provides concrete data on large language model (LLM) usage patterns, fine-tuning effectiveness, and scaling laws, which are critical for enterprise AI adoption and optimization strategies. The report highlights emerging business opportunities in AI infrastructure, data curation, and model interoperability, signaling a shift toward more robust, scalable, and efficient AI services for enterprises (source: x.com/OpenRouterAI/status/1996678816820089131; news.smol.ai/issues/25-12-04-openrouter).