I know how to employ AI-powered tools in web development since I've added features that make things easier for users and more efficient. For instance, I worked on a tourist app project where AI made custom vacation plans for each user. I've also looked at using AI to make online apps more engaging and easy to use by giving recommendations, making chatbots, and generating content. I like to play around with AI APIs and frameworks to see how they can make apps smarter, even though I'm still learning.

When I make a web app, I put usability first by making the layout clear, easy to understand, and consistent so that users can simply find their way around without getting lost. To make sure it works well on multiple devices, I put responsive design first. I also utilize clear typeface, space, and contrast to make it easier to read. I also think about how things look by using a clean color scheme, contemporary UI elements, and subtle animations that make the experience better without making it too busy. I also respect feedback from users, and I test the design with real users to find the right balance between how well it works and how good it looks.

When I debug a complicated AI program, I do it one step at a time. I inspect the data pipeline first because a lot of problems emerge from inputs that aren't accurate or don't match up. After that, I test each item on its own, such as preprocessing, the model itself, and how it works with other elements of the system. I utilize logging and monitoring to find strange outputs and try to recreate the problem in a controlled setting with smaller datasets to find out what caused it. This methodical way of doing things helps me find and address problems more quickly.