Mentors

Experienced eyes at the moments that matter.

Mentors are practitioners who review team progress at structured checkpoints during the build — complementing the AI evaluation reports with human experience and honest questions.

How Mentorship Works

Structured, not ceremonial.

Assigned

Teams get matched

Mentor assignments happen through the platform during the build phase, visible in the participant dashboard.

Checkpoints

Progress reviews

The mentor checkpoint asks teams for a progress update, prototype links and current blockers — then returns written feedback.

Recorded

Feedback that persists

Mentor feedback lives in the platform alongside evaluation reports, so teams can act on all of it together.

Boundaried

Guidance, not authorship

Mentors advise; teams build. Contribution declarations cover the team’s own work, and mentors never score their own teams.

Getting the Most From a Mentor

Teams that use mentors well.

Bring specific blockers, not status theatre
Show the actual product, however rough
Ask the question you are afraid of
Close the loop — tell your mentor what you changed

Practitioners and faculty interested in mentoring Season 2 can send a request through the Get Involved page with a short profile — mentor onboarding runs through the operational platform after review.

Build with experienced eyes on your work.

Mentor checkpoints are part of every paid team’s journey.