Why Your ChatGPT Prompts Suck (Prompt Debugging Explained)

🚀 Getting bad responses from AI? The problem is probably NOT the AI model… it’s your prompt. In this video, I explain Prompt Debugging in the simplest way possible — how to identify weak prompts, improve AI responses, reduce hallucinations, optimize context, and structure prompts like real AI engineers. Whether you’re using ChatGPT, building AI apps, learning prompt engineering, or experimenting with LLMs, this video will help you understand how professionals debug prompts in real-world AI systems. 👨‍💻 About Me: Hi, I’m Rajkumar — Software Engineer at Infoedge, sharing simplified AI and software engineering content. 🔥 In this video: • What is Prompt Debugging? • Why AI prompts fail • Common prompt engineering mistakes • How to improve AI responses • Better prompting techniques • Context window optimization • Hallucinations explained • Prompt structure tips • AI workflow optimization • Real-world AI debugging strategies 📌 Subscribe for more videos on: AI, LLMs, ChatGPT, AI Agents, Prompt Engineering, MCP, RAG, Software Engineering, and Modern AI Systems. #AI #ChatGPT #PromptEngineering #PromptDebugging #LLM #OpenAI #ArtificialIntelligence #GenerativeAI #MachineLearning #DeepLearning #AIAgents #LLMExplained #TechExplained #SoftwareEngineering #AIEngineering #FutureOfAI #PromptDesign #AIWorkflows #RAG #MCP #LangChain #AIApps #DeveloperTools #AITools #Coding #AIForBeginners #AIContent #GPT #Transformers #NeuralNetworks