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AI tools like ChatGPT, Copilot, and Claude are everywhere now—but are we really getting the best results out of them? The secret isn’t just the AI itself, but how we prompt it. In this video, I break down 5 of the most powerful prompting methods you can use to get accurate, creative, and useful answers from AI. From multi-perspective simulation to self-consistency, prompt chaining, meta prompting, and retrieval-augmented generation (RAG)—I’ll explain these techniques in simple, practical terms with real-life examples. Whether you’re a student, content creator, or professional using AI daily, these methods will help you: Get more reliable answers Unlock creativity in your projects Save time by reducing mistakes Learn how to guide AI the way you want If you’ve ever felt like AI sometimes misses the point or gives confusing answers, this video will show you exactly how to fix that with smarter prompts. 📌 What you’ll learn in this video: How to think beyond “basic prompts” Why breaking tasks into steps improves AI results How to make AI generate prompts for you How to combine outside knowledge with AI for better accuracy This isn’t just theory—I share examples you can start using right away. 👉 Don’t forget to like, share, and subscribe for more AI tutorials, tech reviews, and tips to make the most of your tools. #PromptEngineering #ChatGPT #AITools #Productivity #TechWithCony