Weekly one-hour AI labs for ages 11 to 25. Students learn prompting, safety, study bots, workflow automation, and portfolio projects they can actually show.
Students should not get dumped into generic AI hype. Pick the learner type and see the project path, safety focus, and next step.
Start with safe AI literacy: how to ask good questions, protect private information, check answers, and build a simple study helper or creative project.
Each group gets practical projects, safety guidance, and a pace that respects where the student actually is.
AI literacy, prompting, digital safety, and study tools for middle and early high school.
Best for: first safe AI habitsAsk about junior seatsAdvanced study workflows, creative AI, project building, and university or trades preparation.
Best for: stronger school projectsAsk about creator seatsBusiness automation, resume-ready projects, practical AI tools, and work-ready confidence.
Best for: portfolio and work readinessAsk about career seatsConfirm age, goals, device access, and whether the student is beginner, creative, or career-focused.
Complete one visible project each class instead of only talking about AI concepts.
Review hallucinations, privacy, citations, originality, and where human judgment matters.
Package the result as a study tool, portfolio artifact, or family-safe practice workflow.
The goal is not just knowing AI words. Students should leave with useful projects and better judgment.
A safe workflow for summarizing notes, generating quizzes, checking understanding, and planning assignments.
Storyboards, images, scripts, presentations, and design prompts with attribution and originality conversations built in.
A simple demo, automation, or research pack students can show to a teacher, employer, or admissions team.
We teach students how to verify outputs, avoid sharing private information, spot hallucinations, and use AI as a thinking partner instead of a shortcut.
No private school files required for first practice.Students learn how to ask better questions, build small systems, explain their work, and understand where AI helps or fails.
Useful projects before advanced theory.