Miro AI transforms brainstormed ideas into polished content by automatically generating product briefs and summaries from your provided content. It removes the need to spend extensive time on diagrams and summaries, as pre-set actions and shortcuts can create structured content quickly. AI sidekicks provide instant expert guidance, helping with strategy refinement, feedback, and more. The Intelligent Canvas unifies tools, content, and data, enabling faster, well-informed team decisions and seamless communication across various settings.

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.

The landscape of search engine optimization (SEO) is undergoing significant transformation, primarily driven by the rise of user-generated content (UGC). As companies strive to enhance their growth strategies, SEO remains a critical component, but its dynamics are shifting. Many businesses are experiencing a decline in their SEO performance, often attributed to the influence of artificial intelligence (AI) technologies. AI has introduced new challenges, such as AI-generated snippets that occupy a substantial portion of search results, pushing traditional organic listings further down the page. Additionally, tools like ChatGPT have begun to utilize existing SEO content without proper attribution, complicating the competitive landscape for businesses relying on traditional content strategies. Despite these challenges, the notion that SEO is dying is misleading; rather, it is evolving, and the key to thriving in this new environment lies in authenticity. To stand out in a world increasingly dominated by AI-generated content, companies must pivot towards creating genuine, user-driven content. UGC is poised to become the cornerstone of future content strategies because it is unique, authentic, and defensible—qualities that cannot be easily replicated by competitors. Successful examples of UGC implementation can be seen in companies like Miro, Notion, Amplitude, Figma, and Canva, each of which has effectively harnessed user contributions to enhance their content offerings and improve SEO performance. However, integrating UGC into a business model is not without its challenges. Not all products lend themselves to user-generated content, and companies must ensure that the process of creating such content is seamless and does not detract from the user experience. Additionally, businesses need to cultivate demand for UGC, incentivize users to contribute, and recognize that building a robust UGC program is a long-term investment that requires time and effort. To effectively leverage UGC for SEO, companies should focus on activating their existing customer base. By embedding UGC into product journeys, businesses can validate the quality of the content and generate initial traffic, which signals to search engines the relevance of the content. This approach not only enhances SEO but also fosters a sense of community and loyalty among users, as they are more likely to share their contributions, further amplifying the brand's reach. In conclusion, the future of SEO will be anchored in user-generated content, moving away from solely company-generated material. As AI continues to excel in generating common responses, authentic and niche content created by users will rise above the noise, creating a sustainable growth engine for businesses. Embracing this shift not only benefits SEO but also strengthens user engagement and loyalty, ultimately leading to a more resilient brand presence in the digital landscape.