I’ve designed AI search — here’s what works

Since the release of ChatGPT in 2022, AI large language models (LLMs) have significantly influenced the digital landscape by transforming how users interact with technology, particularly in search functions. These models, which have expanded to include multimodal capabilities like generating images and audio, excel in understanding and producing human language. This advancement has shifted search experiences from keyword-based queries to natural language interactions, allowing AI to provide coherent and well-sourced answers. As AI becomes a core infrastructure in digital products, it is crucial to design AI-powered search interfaces that are useful, trustworthy, and well-integrated. This involves addressing UX challenges such as trust, control, and clarity, and adhering to guidelines that ensure accuracy, transparency, and consistency. The article emphasizes the importance of setting honest expectations, providing explanations for AI decisions, and allowing users control over AI features to build trust and foster reliance. It highlights that successful AI UX design is characterized by thoughtful simplicity rather than complexity, aiming to make AI a dependable and helpful teammate for users.