Enforcer

Interacting with the Coach
Screenshot history
Warning when user is not on task
Deep breathing before starting task
Screen blocked after exceeding warning limits

Inspiration

From personal experience, we often forget about tasks or do not have the self-discipline to start the work, so we created this app to help people like us do that.

What it does

It takes screenshots in an interval, and analyses the screenshot to determine the workstate of the user, then react accordingly to tell user to work if user has task inputed.

How we built it

We built this app using Claude opus & trae GLM 5.1 based on tauri system for windows apps

Challenges we ran into

We had trouble working between ais and getting it to work the way we want it to, and spent a lot of time debugging errors made by AI.

Accomplishments that we're proud of

The app functions as it should on a MVP level and takes screenshot every once in a while which gets analysed and give warnings to user as intended.

What we learned

We learned that AI is very strong, however it still needs a lot of human assistance and input monitoring to achieve the best result (mainly prompt-engineering).

What's next for Enforcer

Include functions like STT so it's more interactive with user, and include more customizable experience for users when it comes to setting up task management.