Agents for consumers are currently overhyped. Specifying preferences for tasks can be as complex as doing the task yourself, and verifying the agent's actions can be very expensive.

One overhyped aspect of AI agents is their perceived capabilities, while the underhyped aspects include the importance of understanding when and how to use them effectively in production, as well as how they can save people time by automating tasks that take only a minute, significantly changing dynamics and allowing you to perform those tasks many more times than before.

AI agents are often marketed as capable of replacing human workers, but the reality is that they may only enhance productivity rather than fully replace jobs.

AI agents are being developed to automate workflows, such as filling out construction permit applications, but they still face skepticism regarding their reliability in enterprise settings.

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

AI agents are expected to handle most mundane tasks, significantly lowering barriers for developers and making complex tasks like coding more accessible to everyone.

AI agents are becoming capable enough to handle necessary but less impactful product management tasks, freeing up time for more important work.

AI agents are becoming increasingly effective at working with complex systems like Relay, enhancing the developer experience by simplifying data access and interaction.

AI agents are evolving rapidly, with their ability to run tasks doubling every seven months, leading to significant implications for labor.