AIs have advanced significantly, but how people interact with them often limits their effectiveness. Most users engage with AI through chatbots, which can lead to cognitive overload and frustration. Research involving financial professionals using GPT-4 found that while AI can boost productivity, the chatbot interface frequently presents overwhelming information, hindering comprehension and organization. This issue particularly affects less experienced users who could benefit most from AI assistance. Specialized interfaces tailored for specific tasks can improve the user experience. Currently, programming tools like Claude Code and OpenAI’s Codex are among the few that are highly effective, but they cater primarily to developers. Google is experimenting with user-friendly AI tools for non-programmers, such as Stitch for app design and NotebookLM for research. However, a notable development is the rise of personal agents like OpenClaw, which allow users to interact with AI through familiar messaging apps, solving tasks like checking emails or finding files. Anthropic's Claude Cowork with Dispatch represents a step forward for knowledge workers. Launched recently, it connects AI with local files and applications, enabling users to control it through their phones. This setup allows for complex tasks, such as updating presentations with the latest data. While Cowork is safer and more limited than OpenClaw, it highlights a crucial insight: users prefer an AI agent that directly interacts with their files and tools, rather than a chatbot. Emerging AI systems can now create interfaces on demand, adjusting to user needs in real time. Claude's ability to generate interactive visualizations during discussions exemplifies this shift. Instead of relying on fixed interfaces, future AI developments may focus on creating tailored interactions that adapt dynamically to the user's requirements. This approach could bridge the gap between AI capabilities and user accessibility.