Business & technology

Building an app with AI still takes persistence

Valon Asani · · 2 min read

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Building an app with AI still means returning to problems, trying the result and learning.

Is it difficult to create an app with AI? In this reply, my answer was both yes and no. I compared it with a demanding training goal: repeated work matters more than expecting the whole task to feel easy at the start.

The comparison is about persistence. It is not a promise that every idea will succeed or that an app becomes ready for other people simply because you can generate a first version.

Give building an app with AI a clear next task

Describe a small thing the app should let a person do. What should happen when they try it? What would tell you it worked? Keep that question narrow enough to examine in one session.

When the result is different from what you expected, write down the difference. An exact description of the problem gives you something to work on. Asking for an entire app to be made better is much harder to judge.

Let persistence include checking your work

Return to the feature and try it yourself. Follow the path a new user would take. If you cannot explain what you have built or how it behaves, make understanding that your next task.

Progress can include removing something confusing, fixing a broken step or deciding an idea needs a different approach. The point of my reply was to keep working and learning. Persistence is more useful when each return to the project has a clear question attached.

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