Exciting low-code and no-code tools are emerging, enabling users to customize AI systems based on their specific needs.

When using AI for coding, there is often a gap between the code generated by AI and the user's ability to modify it effectively, highlighting the need for better tools.

The shift in responsibility from developers to users regarding AI outputs allows for more powerful and flexible applications, as users can directly interact with and modify system prompts.

The emergence of AI tools is enabling a broader spectrum of users, including non-technical individuals, to engage in web development and create applications.

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.

The ability to customize AI systems based on local data and norms is critical for nations to effectively leverage AI technology.

The introduction of AI-powered tools will make the process of creating and developing products accessible to a wider audience than ever before.

As we deploy AI technologies, we face massive systems and engineering challenges to make them efficient and accessible to users without deep knowledge of machine learning.

The system prompt that guides AI behavior is typically hidden from users, preventing them from customizing it to better reflect their personal style.