Struggling with GPT-5? That’s Because You Are Not Using Control Tags!
Most people are disappointed with GPT-5 because they prompt it like GPT-4. It feels random, overconfident, or stuck in rabbit holes—and then gets blamed. The model changed; the prompting didn’t. GPT-5 acts like an agent. It plans, calls tools, carries state, and will press ahead unless you define the finish line. Big context and built-in browsing won’t save you if you don’t steer it. Without structure, you’ll see shallow guesses one moment and overwork the next. You don’t need a heavy playbook. A tiny bit of structure works: three dials that set research depth, autonomy, and how it reports progress. Turn them and you get steadier outputs, faster turnarounds, and […]
