Most organizations are approaching prompt engineering with fundamentally flawed assumptions. We rely on intuition when we should be leveraging systematic optimization.

Gemini 2.5 Pro represents Google's distinctive architectural approach: a thinking-native model that combines sustained reasoning capabilities with controllable thinking budgets, massive context windows, and multimodal integration.

Most prompt engineers have developed habits around one core assumption: AI models should interpret our intent and fill in the gaps. We learned to write prompts like we're talking to a helpful assistant who reads between the lines and goes the extra mile. Claude Sonnet 4 challenges that assumption completely.