AI mentor & grading
Grades every assignment against your rubric, writes feedback on what to fix, and picks each learner's next exercise.
- submission reviewed
- Every
- to written feedback
- Minutes
- rubric, not a generic one
- Your
- typical set-up
- 2–3 weeks
The problem
Courses and onboarding are one-way: people watch, nobody checks whether they can do the work, and trainers have no time to give everyone feedback.
What it does
Grades against your rubric
Every submission scored the way your trainers would, with written feedback.
Personal next steps
Weak spots found and the next exercise picked for each learner.
Weekly reviews
A short progress summary per learner, for them and for you.
Trainer stays in charge
Scores and feedback can be reviewed and adjusted before they go out.
Watch it do the job.
Prompt: "Classify these 50 customer reviews." (student submission)
62
- Checked against the week 4 rubric
- Gaps found: no categories, no output format
- Feedback written with a better example
- Next exercise picked
- 62 / 100
- Output format missing
- Exercise 4.3
- Feedback delivered
Call, set-up, then it runs.
Demo call
We show the automation working live, look at the tools you use today, and tell you honestly whether it fits.
Set-up
We connect it to your accounts and data, test it on real examples, and a person checks its output before it runs on its own.
Run & improve
We keep it running, watch its numbers, and tune it as your business changes.