GPT-6 Astra /KING Mode: 6 SIMPLE WAYS to MAKE IT WAY BETTER!

In this video, I'll show you how to get better results from GPT-6 Astra when building apps. I’ll cover reasoning settings, useful skills and plugins, visual references, architecture diagrams, browser testing, performance measurement, and prompts that help Astra deliver simpler, more polished, and reliable applications. -- Key Takeaways: 🧠 Medium reasoning is a practical starting point for planning and implementation, while higher reasoning works best for specific, difficult problems. 🐴 The Ponytail plugin helps Astra avoid overengineering and produce simpler, more maintainable code. 🛠️ Loading only the skills relevant to your task reduces unnecessary context usage and conflicting instructions. 🎨 Visual references and clear design guidance help prevent generic-looking AI-generated interfaces. 🏗️ Archify can inspect your repository and create an architecture diagram based on the actual implementation. 🖥️ Astra’s computer-use capabilities can test real user flows, mobile layouts, validation, and data persistence. ⚡ Measuring performance before and after a targeted fix helps verify whether an optimization actually works. ✅ Clear prompts should define what “finished” means and instruct Astra to implement, test, fix, and report its results.