In modern web development, several critical mistakes plague AI chatbot integration. A common issue is the lack of a clearly defined scope and purpose, leading to generic bots that fail to meet specific user needs. Furthermore, poor data quality or insufficient training data often results in chatbots providing inaccurate information, exhibiting "hallucinations", or failing to understand complex queries. Developers frequently overlook robust error handling and fallback mechanisms, leaving users frustrated when the AI cannot respond appropriately, alongside neglecting critical security vulnerabilities like prompt injection. Another significant error is a poor user experience, characterized by slow responses, awkward conversational flows, or a complete lack of personalization. Ultimately, neglecting ethical considerations and user privacy and an over-reliance on AI without human oversight can undermine the chatbot's effectiveness and trustworthiness within a web application. More details: https://www.nineteenfifteen.com/?URL=infoguide.com.ua/