AI

For the past two years, the tech world has insisted that mastering prompt engineering is the path to better AI outcomes. Entire courses, newsletters, and YouTube channels promise a magic phrase that will unlock more useful answers from models. After thousands of interactions with Claude, ChatGPT, and other systems, I have a different take: most prompt problems are actually requirement problems. This distinction matters. Prompt engineering is primarily about how you ask; requirement engineering is about what you actually want....

The Catalyst: When the Chatbox Became a Bottleneck For the last two years, the industry has been obsessed with the “perfect prompt.” We treated Large Language Models like oracle machines where the right magic words would yield the perfect JSON output. We leaned on “Prompt Engineering” to whisper to the models, hoping for consistency. However, in production-grade systems, hope is not an architectural strategy. The release of Gemini 3.1 Flash Live and the emergence of frameworks like Tezign GEA (Generative Enterprise Agent) over the last 48 hours have officially signaled the end of this era....