To improve response consistency, prompts must be explicit and unambiguous, leaving no room for varied interpretations. Few-shot prompting, where one or more examples of desired input-output pairs are provided, is highly effective in guiding the model towards a specific style or format. Additionally, clearly defining the output structure, such as requiring bullet points or a specific length, and specifying strict constraints on content or disallowed elements significantly enhances uniformity. Prompts that instruct the AI to adopt a specific persona or role and to target a particular audience also contribute to more predictable and consistent outputs. Ultimately, the best prompts are discovered through iterative testing and refinement, observing how slight linguistic changes influence the model's behavior across multiple runs. More details: https://structurizr.com/help/theme?url=https://infok.com.ua