- The local period, cycle and calendar dates used for each required session.
- An explicit double or two-session split where one local period cannot hold the complete session anatomy.
- The named catch-up placement used when a required session is missed.
Implementation · Phase the routes · Keep one foundation
Built for a school timetable—not a perfect pilot.
Schools can phase a dedicated curriculum and Control Room line and Across Subjects rollout, but each band’s Across Subjects practice rests on its taught AI-literacy foundation.
Follow one illustrative project from genuine need to first attempt, one declared AI job, reader test and AI-off defense. Its complete arc is planned against the timetable the school actually runs. (Follow one project →)
- ATeach it in timetabled lessons
- BUse it in subjects after students complete the relevant AI-literacy foundation
- CConnect both across the school
- GateThe gate on every route: student AI stays off until your school’s safeguarding and data checks pass.
Choose the pressure to solve first
Three deliberate starting points. One standard for student-owned work.
Choose the problem to solve first. Each route keeps the same learning, evidence and safety guardrails, and subject use begins only after students complete the relevant grade-band AI-literacy foundation.
Give it protected timetable time.
Choose the grade band, protect the planned timetable blocks and prepare staff to supervise, support access, safeguard and review selected work.
Begin in departments—with the foundation in place.
Bring one existing assignment, define what students must do, choose one bounded AI contribution and review the first work records together.
Teach the method, then use it in subjects.
Introduce the shared method first, then schedule subject use and teacher review without changing departmental criteria.
Catch-up projects · Start at the right level
Start at any grade level—with a complete catch-up project for that band.
No student has to replay a younger course. New students begin with one age-appropriate catch-up project in their current curriculum band; teachers use the work itself to decide what targeted support comes next.
A genuine first project at the right level.
A student entering Discovery Lab starts with a bounded, real project for their own class: question a genuine need, make a version before AI contributes, give AI one small job or none, test it with a real reader and explain the decision.
Evidence carried forwardFirst idea · what AI did · reader test · change made · AI-off explanation
- Listen to a real need and frame it
- Act: make a version, then bound any machine job
- Test with a real reader, revise and explain with AI off
If the project reveals a specific gap, the teacher can add a short targeted clinic. Returning students may bring selected earlier work as context; it informs support but never blocks entry.
Every student has a full starting point. There is no earlier-grade prerequisite or automatic placement. Every grade band begins with a complete catch-up project at the right level.
What a workable launch includes
A launch is a controlled educational change.
The product does not treat implementation as a login and a slide deck.
A login does not change classroom practice. Curriculum, people, school decisions and access all need to line up.
Decide where to begin.
Choose the grade bands, timetable shape, first departments and curriculum connections.
Prepare the adults.
Use session scripts, examples, review routines and teacher practice before asking staff to improvise.
Set the school boundary.
Decide roles, providers, AI permissions, retention, safeguarding, access routes and shutdown conditions.
Keep the route to completion open.
Plan equivalent media, AI-off completion, low-spec devices and no required home connection or public exposure.
Review what is working.
Review curriculum coverage, staff workload and student work. Logins alone are not evidence of learning.
Connect only when ready.
Add grade bands, departments or the second use through a clear school decision.
For teachers and school leaders
Ready for a department. Coherent across a school.
Own Mind connects curriculum, classroom practice and school policy without asking every teacher to design a new way of using AI.
Teach a shared method.
Give students and staff the same four steps: Act → Delegate → Verify → Defend.
Carry it into subjects.
Teachers start with the knowledge, task, sources and rubric they already intend to use.
Keep the boundary visible.
Students see what must remain theirs, what AI may do and the equal AI-off route before they begin.
Review the work that matters.
Teachers inspect decisions, contributions, tests and explanations without an authorship score or hidden profile.
AI is optional.
Each task is designed with an AI-off route carrying equal completion status.
Teachers retain authority.
No automated grade, authorship accusation or student ranking.
Record the work, not the student.
Keep decisions and significant AI contributions, without storing unrestricted chat or building a hidden profile.
Your school controls live use
Student AI stays off until your school is ready.
Buying Own Mind does not switch on live student AI. School, safeguarding, data, provider and release checks still have to be current.
Named owners and approved scope.
Your school decides the roles, classes, projects, providers and permissions for its intended use.
Checks matched to your exact use.
Legal, safeguarding, privacy, accessibility and operational checks must be current for the specific AI use and student group.
Learning continues if AI does not.
Provider-unavailable and AI-off routes carry equal completion status; shutdown does not erase the educational pathway.
From one department to whole-school practice
Start deliberately. Expand without losing the principle.
Choose the first problem to solve, then fit the shared method, timetable and subject use around the school you already run.