RULES FOR WRITING EFFECTIVE PROMPTS WHEN USING ARTIFICIAL INTELLIGENCE SYSTEMS

This article examines the theoretical and practical foundations of writing effective prompts for artificial intelligence systems. In the modern digital environment, artificial intelligence technologies have become essential tools in education, science, business, and communication. However, the quality and accuracy of AI-generated outputs largely depend on the correctness and structure of user prompts. The article analyzes the concept of prompt engineering, the principles of constructing efficient prompts, linguistic and semantic considerations, and the importance of contextual clarity. Furthermore, the study discusses various prompt-writing strategies, including role-based prompting, chain-of-thought prompting, contextual prompting, and iterative refinement techniques. The research also highlights common mistakes users make while interacting with AI systems and proposes methodological recommendations for improving prompt quality. The article concludes that properly designed prompts significantly increase the effectiveness, reliability, and practical value of artificial intelligence technologies in professional and academic activities.