Patterns in AI design represent a crucial area of exploration within the intersection of artificial intelligence and user experience. The author expresses a deep enthusiasm for this topic, emphasizing that humans are inherently pattern-seeking beings. This natural inclination drives us to understand and navigate the world by recognizing and applying patterns, which is equally applicable to how we interact with technology. As we engage with various interfaces, we develop expectations and mental models based on familiar patterns, making it essential to define and refine these patterns for AI experiences. The author highlights the importance of establishing clear design structures for AI, noting that the patterns we create today will shape future interfaces and influence user cognition. This responsibility falls on the design community, which is tasked with articulating and socializing these emerging patterns. The discussion is enriched by references to significant resources and thought leaders in the field, such as Emily Campbell's "The Shape of AI" project, which serves as a foundational resource for understanding AI design patterns. Additionally, the author mentions the "Smarter Patterns Library," which offers solutions to common challenges in AI interactions, and "Teardowns.ai," a platform that analyzes user journeys in AI tools. These resources are invaluable for designers looking to deepen their understanding of effective AI interfaces. The author also shares a personal anecdote about a pattern they may have invented while working at Miro, which was recognized by Jakob Nielsen, a prominent figure in user experience design. This acknowledgment underscores the dynamic nature of design patterns and the potential for innovation within the field. The conversation then shifts to the principles that underpin these patterns. The author emphasizes that patterns should not exist in isolation; they need to be guided by coherent principles that ensure meaningful user experiences. Major tech companies like Google and Microsoft have developed comprehensive resources that go beyond mere pattern libraries, offering guidelines and ethical frameworks for designing AI interactions. Google's "People + AI Guidebook" and Microsoft's "HAX Toolkit" are highlighted as essential tools for designers navigating the complexities of AI. Critical thinking is presented as a vital skill for designers, enabling them to make informed decisions about which patterns to implement and how to apply principles effectively. The author encourages a thoughtful approach to understanding the emotional and cognitive impacts of AI interfaces on users. Looking ahead, the author mentions an upcoming event, Canvas '24, which they will attend online, and invites readers to register. This event promises to showcase new product updates and discussions relevant to the design community. In conclusion, the author invites collaboration and engagement with their newsletter, which focuses on AI and design resources, trends, and tools. They encourage readers to share the newsletter with others who may be interested, fostering a community around the evolving landscape of AI in design.