An AI model should offer growth metrics that always add up. These metrics should never reset to zero. This design helps users feel successful without pressure.
By Pawan Nayar · from the LLOS AI Learning record
An AI model should offer growth metrics that always add up.
These metrics should never reset to zero. This design helps users feel successful without pressure.
An AI model can use growth metrics that only increase. These metrics show progress as an ongoing addition. The model never takes away from the user's score. This design helps the user feel good about their work. It avoids the pressure of maintaining a perfect record.
A student uses an AI writing tool. The tool tracks how many words the student writes each day. If the student misses a day, the word count for the week still adds up. The tool does not show a 'broken streak.' This helps the student focus on writing more words, not on keeping a perfect daily record.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
An AI model should frame calls to action as challenges. This means encouraging the user to achieve a goal.
An AI model should show additive numbers for user progress. These numbers always go up.
The system should show a small row of badges in the main screen header. This row appears after the user earns their first badge.
The AI model should track user progress using growth metrics. This means counting questions answered and concepts explored.
An AI model should offer growth metrics that always add up. These metrics should never reset to zero. This design helps users feel successful without pressure.