Guided AI during assignments
Students get help while they are still reasoning through the task, not only after work is submitted.
AI in the homework workflow
Students already use AI while they work. MyTA keeps learning visible.
MyTA brings guided AI into the assignment workflow, so instructors can see how students use AI, where they struggle, and what needs attention before learning disappears into a final submission.
Real MyTA product screen
The real problem
Detection starts after the learning moment has passed.
Students use AI before they submit. Bans and detectors can react later, but they do not show whether learning happened during the work.
AI use happens before the final submission.
Detectors miss confusion, reasoning, and help-seeking.
External AI tools pull learning data out of the course workflow.
What MyTA changes
Guided AI becomes part of the assignment workflow.
MyTA keeps AI support tied to course materials, student work, and instructor visibility.
Visibility into learning
Instructors can see AI use, confusion, and help-seeking patterns before they are hidden in a final answer.
Built around the course workflow
Course materials and assignment directions shape the support, so AI becomes less disconnected from teaching.
How it works
Set the context, support the work, see the patterns.
Instructor controlled course context
Add materials, directions, and boundaries for AI help.
Students work with guided AI
AI support sits in the assignment process instead of a separate tab.
Instructors see what needs attention
Confusion and help-seeking patterns become visible earlier.
Market context
AI is already part of assessed work.
94%
of students use generative AI to help with assessed work
79%
of faculty said GenAI will affect their teaching model
77%
of students would be likely to use AI even if banned
See the product
Watch how MyTA keeps AI use visible inside the course workflow.
Pilot waitlist
Interested in testing MyTA in a course?
MyTA is looking for professors, instructors, academic technology teams, and university stakeholders who may be open to piloting the software.