A prototype is an early version used to try an idea. A working demo can show how an app might help, but it does not show what happens when someone enters the wrong information or a connection fails.
When building with artificial intelligence (AI), treat generated code as work that still needs checking. Before people rely on the app, check its important tasks and what could go wrong.
Start with the boundaries
Write down what information the app receives, saves, changes and shares. Then ask:
- Who is allowed to perform each action?
- Which information must stay private, and where is it saved?
- What happens if the connection fails or someone repeats an action?
- Which changes cannot be undone?
- How will you notice that something has gone wrong?
These questions apply whether a person or an AI assistant wrote the code.
Trace a complete user journey
Choose one important task, such as creating an account, making a purchase, uploading a file or deleting data. Follow it from the first click to the saved result.
For example, imagine an app that lets people delete files. Hiding the delete button from someone who lacks permission is only one step. The part of the app that carries out the deletion must also check whether that person is allowed to do it.
Check mistakes and interruptions as well as successful attempts. What happens if a required field is empty, the connection drops or someone clicks twice? Confirm that the app explains the problem and keeps saved information consistent.
Separate findings from guesses
A useful review makes clear what failed during a check, what might cause trouble and what still needs an answer. Record the evidence for each finding so the team can decide what to fix.
Start with problems that could reveal private data, lose information, charge someone incorrectly or stop the main task from working. Improvements to appearance can follow.
Make the next release small and verifiable
Choose a few outcomes that must work and tests that check them. Keep enough information about errors to investigate failures, without collecting personal details you do not need.
After release, use reported problems and actual use to decide what to check next. Reliability needs continued testing and maintenance as the app changes.