The article discusses the evolution of AI from acting on commands to understanding user intent. It highlights the limitations of current AI systems in interpreting user behavior and suggests ways to improve how AI captures and responds to user needs.

Artificial intelligence is increasingly influencing user experience design by automating tasks, personalizing interactions, and providing data-driven insights. These advancements enable designers to create more intuitive and efficient user interfaces, enhancing overall user satisfaction. As AI continues to evolve, its integration into UX processes is expected to deepen, transforming how users engage with digital products.

A recent experience with a broken demo booking form led to the implementation of an AI browser agent to automatically test the site's functionality. This agent performs tasks like filling out forms and checking for available time slots, ensuring that the user experience is smooth and effective. The setup is quick and provides real-time alerts for any issues, enhancing the overall quality assurance process.

Websites will soon leverage AI to design themselves in real-time, adapting layouts and content according to user behavior and performance data. As a result, traditional web designers may face obsolescence unless they evolve into roles focused on strategy, systems-thinking, and ethical oversight.

LinkedIn's Hiring Assistant is an AI-driven tool designed to enhance the recruiting process by automating repetitive tasks such as candidate sourcing and evaluation. Built on a sophisticated architecture that includes real-time conversational interfaces and individualized cognitive memory, it aims to improve efficiency and scalability while allowing recruiters to focus on meaningful interactions. The article explores the technical challenges and design choices behind developing this agentic product.