People tend to hold AI to a higher standard than themselves, expecting perfection despite the inherent imperfections in human performance.

We often underutilize models, expecting them to solve tasks quickly without giving them enough time to iterate and improve.

The asynchronous nature of AI interactions can significantly improve user experience, especially when models are readily accessible.

The expectation versus reality of AI adoption is often skewed; while expectations are high, the actual capabilities of current models may not meet those expectations, leading to a rapid adjustment in perception as models improve.

AI is increasingly capable of handling transactional interactions, often exhibiting more patience and nuance than humans, which challenges previous assumptions about AI's limitations.

It takes time for everyone to transition from old habits to new ways of working with AI.

Tasks requiring high empathy and judgment are best handled by humans, while repetitive tasks are better suited for AI models like Claude.

I wouldn't expect AI models to one-shot entire products yet, especially if they're complicated. I prefer to implement features piece by piece and ensure each step works before proceeding.

While AI can build applications faster than humans, it still requires human oversight to ensure quality and creativity in the development process.