Why ChatGPT Gives Generic Answers and How Better Prompts Fix It

A developer sharing on DEV Community found that vague or context-light prompts were the main reason AI responses felt unhelpful or off-topic, not the model itself. The key insight was that large language models do not retain implied context the way a human conversation partner would, so any unstated information is simply absent from their processing. To get more relevant answers, the writer adopted habits like naming subjects explicitly, stating the purpose behind a question, and specifying desired format or length upfront. Providing concrete constraints — such as budget, prior attempts, or decision criteria — also helped the model tailor responses instead of returning a generic default. The overall takeaway is that consistently surfacing context that feels obvious to the user is what separates useful AI answers from unhelpful ones.