A common issue with Flutter (AI apps) is that the AI might provide incorrect or "hallucinated" information. From a design perspective, how should we represent the confidence level of an AI's prediction to the user? I want to make sure our users understand that the suggestions are probabilistic, not absolute, without cluttering the mobile interface with too much technical data.
3 answers
In Flutter (AI apps), transparency is key. Instead of showing a raw percentage like "87% confident," use visual cues. For example, you can use subtle background color gradients (green for high confidence, amber for low) or use different font weights. Another effective method is the "human-in-the-loop" design, where the AI provides a suggestion in a TextField but requires a user tap to "Confirm" or "Edit." This subtly reminds the user that they are the final authority. Always include a "Report Incorrect Result" button to help retrain your models later.
Do you think a "source citation" feature would help reduce user frustration when the AI in your Flutter (AI apps) gets something wrong?
I find that adding a "typing" animation or a skeleton loader helps manage expectations in Flutter (AI apps) by showing the AI is "thinking."
Good point, Scott. Those micro-interactions are vital for making the non-deterministic nature of AI feel more natural and less like a broken software bug.
Larry, if the app is using RAG (Retrieval-Augmented Generation), citations are essential. In Flutter (AI apps), you can use ExpansionTile widgets to hide sources until the user wants to see them. This keeps the UI clean while providing the "ground truth" that builds trust, even if the AI's summary isn't 100% perfect.