📄️ Information Architecture
Information Architecture (IA) principles in a Design System for embedded AI need to be adapted to accommodate the dynamic, intelligent, and personalized nature of AI-driven interactions. Here’s how IA principles would be uniquely tailored for such systems:
📄️ Navigation patterns
Navigation pattern principles in a Design System for embedded AI need to be adapted to fully leverage AI capabilities while ensuring an intuitive, efficient, and personalized user experience. Here’s how these principles would be uniquely tailored:
📄️ Data entry patterns
Data entry pattern principles in a Design System for embedded AI would need to be designed to optimize accuracy, efficiency, and user experience by leveraging AI capabilities. Here’s how these principles would be uniquely tailored:
📄️ Search and filtering
Search and filtering pattern principles in a Design System for embedded AI are designed to optimize the user experience by leveraging AI to enhance the accuracy, relevance, and efficiency of search and filtering processes. Here’s how these principles would be uniquely tailored:
📄️ Onboarding flows
These principles will help create an effective, user-centric onboarding experience for the Golem Design System within the ReliAI platform.