The shape of the curriculum
Six sessions of 90 to 120 minutes each, run inside one school term — typically Term 1, Term 2, or Term 3 — with no expected work between sessions. Cohort size 10 to 15. Outputs: every student finishes with a live product on the open web, a 10-slide pitch deck, and a Certificate of Completion. AI literacy is built across every session — not delivered as a separate lecture.
Each session below maps to one of five modules. Demo Day is the sixth and final session.
Session 1 — Idea Evaluation
Students identify a real problem in their life or community. They use AI to score the idea against criteria a real founder would use (market size, problem severity, competitive landscape, feasibility for a student team) and iterate based on the AI feedback. Most students cycle through two or three ideas before landing on one.
AI literacy built: how to read AI feedback critically; how to iterate based on it without being captured by it; the difference between an AI suggestion and an AI verdict.
Session 2 — Customer Discovery
Students design a customer discovery survey and collect responses from real people — friends, family, teachers, neighbours. They use AI to extract insights from the responses, identifying patterns and contradictions in the data.
AI literacy built: recognising what AI is good at (pattern recognition across volume) and what it gets wrong (interpretation of intent in nuanced text); the discipline of validating AI-extracted insights against the source.
Session 3 — Business Model Canvas
Students complete a Business Model Canvas with AI assistance. The platform prefills each block based on the student's Sessions 1 and 2 work; the student accepts, edits, or rejects each block.
AI literacy built: AI-as-collaborator, not AI-as-author; the muscle of overriding AI when you know more than it does; systems thinking applied to a real business.
Session 4 — MVP Planning
Students take their full feature wishlist and rank it using the RICE framework (Reach, Impact, Confidence, Effort). The AI provides ranking suggestions and challenges effort estimates that look optimistic.
AI literacy built: using AI to surface options you would not have considered; the discipline of constraint; recognising when AI's confidence is misplaced.
Session 5 — Pitch Deck Builder
Students generate a 10-slide investor-style pitch deck pulling together everything from Sessions 1 through 4. The AI scores investor-readiness (clarity, narrative flow, evidence, ask) and provides revision tips.
AI literacy built: structured storytelling; using AI to compress complex ideas into ten slides without losing substance; the difference between AI-polished writing and AI-substituted writing.
Session 6 — Demo Day
Every student presents on a stage in front of parents and educators. The AI is not in the room — the student is. That contrast is itself a literacy lesson: AI is a tool you use to prepare; presenting is something only you do.
What students leave with
A live product, a pitch deck, a Certificate of Completion — and AI fluency built by doing, not by listening. The full curriculum runs at the AI literacy pillar; the Demo Day format is documented at what is a student Demo Day.