The rise of generative AI and no-code technologies is expected to usher in a new phase of tech innovation, potentially empowering decentralization and massive empowerment. However, this shift also raises concerns about the risks inherent to AI-driven tools, such as intellectual property issues, biased training data, and limited understanding of what these tools are creating. To mitigate these risks, it's essential to build AI-driven no-code tools intentionally, with a focus on learning from rather than copying, and to ensure that they are designed with transparency, accountability, and flexibility in mind. By adopting principles such as repeatable work, separating research from development, and prioritizing data security, developers can create AI-driven no-code tools that empower creators while minimizing the risks associated with these technologies. Ultimately, the goal is to harness the transformative potential of AI-driven no-code while ensuring they serve the greater good.