The future of AI agents may involve them being able to access and interact with data traditionally reserved for humans, such as logging into websites or executing commands on servers.

The ultimate goal for future AI agents is to seamlessly integrate various tasks, such as web searching and computer operations, in a more natural and human-like manner.

The emergence of AI agents allows models to autonomously retrieve information, run code, and perform multiple tasks without human intervention, leading to significant economic impacts.

The evolution of AI agents will lead to more complex use cases as users gain trust in their capabilities, allowing them to handle more advanced tasks.

The emergence of specialized AI models will enable new applications to thrive, similar to how JavaScript transformed web browsers by allowing for more dynamic functionalities.

We're starting to see AI agents play a major role in web development, writing code, creating assets, and collaborating with humans, which multiplies what can be built.

The evolution of AI will disrupt traditional business models, as users will prefer agents that can navigate the internet efficiently without being influenced by ads.

AI agents can navigate multiple systems, understand context, and execute tasks that previously required human intervention, marking a significant shift in back-office operations.

AI agent teams often lag behind frontend teams, resulting in a struggle to keep up with new features and tools that enhance user experience. However, building an AI agent interface is straightforward if you leverage existing features rather than starting from scratch, allowing for broader access to tools and services.