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Many people treat AI like a search engine. They ask it one question or craft what they think is a perfectly "engineered" prompt to get the best possible answer. I believe this is the wrong approach. Sure, prompt engineering principles are still important. But one of the most effective ways to use AI is to break a big problem into small, manageable pieces—and solve them one by one. For example: Have an expert review a document from a financial angle. Then, get a political analyst to examine the outcomes from a political viewpoint. Next, bring in a persuasion expert to analyse it from an argument perspective. Finally, frame those arguments across various channels. The real game changer isn't just AI's capabilities - it's the flexible iteration capability. Imagine taking a 270-page financial document and turning it into content, copy, or speeches almost instantly. This lets you outpace the news cycle, connecting directly to the heart of public discourse. When critics or gatekeepers raise questions, you're already ahead you have genuine, real time reactions ready. This technology could completely transform how public discourse operates. It's worth pondering deeply.