This year, the concept of viewing AI as agentic has gained traction, moving beyond chat-like interactions to more complex, multi-step tasks that AI can perform autonomously.

Feedback mechanisms in AI interfaces can help users refine their prompts and improve interaction with the AI, enhancing the overall experience.

The AI agent acts like a development partner, asking questions and seeking clarification, which enhances the coding experience.

There's a missing tool in AI app development that would allow an AI system prompt writer to assist users in refining prompts.

We want users to interact with their AI agents more expressively, potentially allowing them to draw in the UI to communicate changes or ideas.

AI will need to understand emotions to some extent, but whether it should mimic human emotions is a design decision that remains open for exploration as we approach AGI.

AI app developers often treat system prompts like traditional code, maintaining a divide between users and developers that limits customization and personalization, leading to AI applications functioning as lowest common denominator software with generic outputs that lack individual expression.

The prompt box in AI interfaces is crucial, and providing pre-built prompts can enhance user experience by guiding them in their input.

Interactive elements in AI design, such as edit buttons, allow users to modify outputs directly, fostering a more engaging user experience.