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Start with real work
Participants bring recurring professional tasks, live constraints, and actual source material. The unit of change is not a prompt; it is a workflow that has to survive next Tuesday morning.
Professional learning · first pilot in development
A cohort-based sprint for educators who want AI to improve the work they already do — without giving up quality, context, privacy, or professional judgement.
The working proposition
An AI operating system is not a new software platform. It is a small set of connected, repeatable workflows for professional work — designed around the educator, the context, and a clear standard of quality.
planning and learning design
research and synthesis
resource creation
feedback and assessment
professional communication
reusable agent skills and workflows
How the sprint is being designed
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Participants bring recurring professional tasks, live constraints, and actual source material. The unit of change is not a prompt; it is a workflow that has to survive next Tuesday morning.
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AI drafts do not remove professional responsibility. Participants define what quality means, where human review matters, and where AI should not be used.
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Each workflow is tested against authentic work. Before-and-after artefacts, time, usability, and repeat use matter more than enthusiasm during a demonstration.
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The goal is a small, dependable operating system participants can continue using and improving after the sprint ends — not a folder of prompts.
What participants should leave with
Interested in the first pilot?
The first cohort will be deliberately small. Its purpose is to learn what works before fixing a larger programme, membership, or leadership offer.