v0 — under lawyer review. This is a working draft. A qualified lawyer will review it before the broader Phase 2 launch. Do not rely on this document for legal advice.

Legal · Last updated May 2026

Student Code of Conduct

CultivLab is a small, private cohort. The way students treat each other and their mentors is as important as the projects they build. This code is written in plain language so students can read it themselves.

Be kind

No insults, put-downs, slurs, or harassment — in the live sessions, in any shared workspace, or in any messages connected to the cohort. This includes comments about other students' work, backgrounds, or ideas.

Keep personal information private

Do not share your last name, home address, phone number, school name, or photos of yourself inside the cohort space. Do not ask other students for this information either.

Respect other students' work

Do not share, copy, or claim another student's project without their permission. Each student owns their own work.

Bring projects, not homework

CultivLab is not a homework-help service. Do not use the cohort, the mentor, or the AI tools to complete graded schoolwork. We're here to build original projects.

Use AI as a tool, not a shortcut

AI is a building tool — use it to think, prototype, and create. Do not use it to generate work you then pass off as your own thinking without engaging with it. Your mentor will teach you where the line is; when in doubt, ask.

Speak up if something feels wrong

If anything — a message, a comment, a session — makes you uncomfortable, tell Ash or tell your parent. You can email privacy@cultiv.ai. We will believe you and take it seriously.

Consequences

Violations are handled in this order: verbal warning from the mentor → written warning (parent notified) → cohort suspension or removal. Every decision will be explained in writing to the parent. There is no appeal to a committee — Ash makes the final call and is reachable directly.

For parents

By completing enrollment, you confirm your student has read this code and will follow it. If your student struggles with any of these expectations, reach out before the cohort starts — we would rather find a better fit than remove a student mid-cohort.

Questions about this policy? privacy@cultiv.ai