A multidisciplinary sprint that helps students move from AI tool use to project ownership: discover a real need, build an AI-enabled solution, test value and present the next move.
A double-helix learning system
Students progress from prompts, toolchains and knowledge bases to agents, natural-language programming, AI employees and AI leadership.
Students move from self and user understanding through innovation, product, market, team, finance and public communication.
A “real deposit” is an optional, school-approved learning experiment—not a requirement. Teams may use interviews, letters of intent, pre-orders, test sign-ups or expert review when payment is inappropriate.
Five-day build-and-validate cycle
Map individual strengths, observe unmet needs and select a scenario that a team can credibly serve.
Scenario card + capability baselineBuild a project knowledge base, define the user and shape a solution that is faster, simpler or more human.
User brief + solution conceptCreate an agent or workflow, connect a lightweight system and place the proposition in front of real people.
Working demo + validation evidenceDesign roles for people and AI employees, model cash flow and make resource-allocation decisions.
Operating model + financial viewIntegrate the evidence, improve the story and defend the project before reviewers.
Final pitch + 30-day evolution planLearning mechanics
Short instruction is followed immediately by building, peer explanation and evidence-based review.
Teams use a simulated budget to buy services, form partnerships or invest—making trade-offs visible.
A Nine-Level radar and mentor checkpoints show what improved and what the next 30 days should target.
What students can show
Research notes, a user brief and evidence explaining why the project deserves attention.
A demonstrable prototype supported by a project knowledge base and clear operating logic.
Positioning, product, market, team and financial assumptions connected in one concise narrative.
An honest capability radar and next-stage plan for a competition, campus project, portfolio or venture.
Confirm the audience, scenario, duration, available mentors and expected evidence before delivery.