According to @godofprompt, Gemini 3 demonstrates superior performance when users provide high-level descriptions of their objectives, rather than step-by-step instructions. The model benefits from maintaining a high entropy setting (temperature at 1.0), which is essential for complex reasoning tasks—a key difference from previous versions like Gemini 2.5. For business and developer applications, simplifying prompts and removing elaborate chain-of-thought techniques allow Gemini 3 to leverage its advanced reasoning capabilities with the 'thinking_level: high' setting. By default, Gemini 3 delivers concise, efficient responses, so more conversational outputs must be explicitly requested. For enterprise use-cases involving large datasets, such as codebases or documents, instructions should be placed after the context data for optimal results. These strategies can streamline AI integration, enhance productivity, and unlock new business opportunities by maximizing Gemini 3’s capabilities (source: @godofprompt, Twitter, Nov 22, 2025).