For schools
GameCoder is structured for school rollout: students learn through planning, coding, testing, and revision while teachers stay visible to the work and publishing begins from a private-first model.
Rollout path
Not a jump from idea to open publishing — the better path is staged: pilot, classroom use, supervised sharing, then broader policy decisions once the school is comfortable.
Phase 1
Start with a single teacher, a known group of students, and private project creation while staff learns the workflow.
Access stays narrow and projects begin private.
Phase 2
Students move from prompt to playable game in the browser while teachers review progress and keep the room visible.
Planning, coding, testing, and revision stay teacher-visible.
Phase 3
Publishing becomes a supervised step with sign-in requirements and oversight still attached to the work.
Teachers and admins keep moderation context on published work.
Phase 4
Any broader visibility decision happens after the pilot, as a school choice, rather than as a product default.
Visibility expands by policy, not by assumption.
Outcome
The product stays grounded in making, not passive prompting, so AI becomes part of a real classroom workflow.
Outcome
The operating model is built to keep visibility, moderation, and rollout decisions legible to adults.
Role view
The principal who approves the pilot, the teacher who runs it, the student who learns through it, and the IT lead who vets it all get a straight story.
Role
Sees the operating model quickly: private start, supervised sharing, and a clear pilot path before expansion.
Role
Runs the classroom experience, monitors student projects, and stays in the loop when work moves toward sharing.
Role
Builds a real game, learns with iteration, and shares work inside the boundaries the school has chosen.
Role
Gets a product story that is easier to vet because visibility and rollout assumptions are explicit.
Policy matrix
Instead of hiding trust behind generic feature cards, here is the default stance: who sees work, who guides sharing, how AI is used, and what remains a school-level choice.
Projects begin private and signed-in sharing stays the present default.
Teachers review progress and understand when work is moving toward publication.
Students can build and revise without starting from public exposure.
The school can define how publishing should be used before any broader rollout.
Teachers remain part of the supervised publishing path.
Sharing happens inside the classroom model rather than as a one-click public default.
The product is framed around literacy through making, not passive generation.
Teachers can keep AI use tied to planning, coding, and revision.
Students still build, test, debug, and iterate on the final game.
Expansion decisions are made by policy once the school is ready.
The classroom workflow can be validated before widening access.
Students get a stable experience while adults decide what opens next.
Next step
The strongest first move is usually narrow: one teacher, one bounded rollout, clear publishing expectations, and a trust model the school can explain before it expands.
