An afterschool framework for grades 7–12
Teach students to build with AI.
VIBE Afterschool is a free, open framework where students in grades 7 through 12 learn to direct generative AI, building real apps, websites, films, songs, stories, games, and other ideas they care about by describing what they want and shaping it into reality. Guided by professionals who already use AI every day.
What is vibe coding?
If “generative AI” is a new term for you, here is the plainest possible description. Generative AI is software that has read an enormous amount of human-made writing, art, music, and code, and learned to produce new pieces in similar styles when a person describes what they want. Vibe coding is the skill of directing that software well. Instead of writing code line by line, students describe what they want to make in plain language and collaborate with the AI to bring it to life. The output is not limited to apps. It might be a working website, a short film, a song, a game, an original story, a small business idea, a piece of generative art, or a hardware prototype, and the real skill being taught is how to direct that work thoughtfully and honestly.
vibe coding
Building real things by describing your intent to a generative AI collaborator and iterating together until the result is something you stand behind. The medium can be software, media, hardware, writing, or art. The student is the director, and the AI is the team they are learning to lead.
- A short film: a student writes a script about something personal to them, and uses AI to help storyboard scenes, find the right music, and edit cuts together into a real three-minute film for the showcase.
- An original song: a student writes a lyric, shapes a melody, and uses AI to help arrange the instrumentation and produce a final version they can play out loud.
- A piece of generative art or a small game: a student shapes the visual style or the gameplay loop in plain language and refines it with the AI through round after round of revision.
- A working web app: a student describes a tool for her school’s food pantry and ships it in a weekend.
- A hardware prototype: a student designs a sensor system on paper and the AI helps write the firmware that brings it to life.
- A small business plan: a student models the pricing, builds the landing page, and writes the first pitch from start to finish.
The deeper skill is orchestration. Knowing what to ask for, recognizing when the AI is wrong, deciding what to keep and what to throw away, and learning that it is genuinely okay to mess up along the way. We are teaching kids to be the boss of the work, not the assistant.
Four phases, twelve weeks, and one project the student is genuinely proud of.
The shape of the program is simple. One afternoon a week, with a small cohort of students in grades 7 through 12, one advisor in the room running the session, and any local professionals who use AI in their work that the community can bring in as visiting guides. Each letter of VIBE describes a phase of the program and the stage of what students are doing inside that room.
Students try the tools for themselves, learn to iterate without being afraid to mess up, and meet a working professional who builds with AI every day, in person or through a real practitioner’s clip when no local guide is available. The goal here is comfort and curiosity, not mastery.
The cohort encounters a second, contrasting field through another guide if one is available or another real-practitioner clip if not, opening up new ideas of what generative AI can produce. Students imagine their own project and learn to scope it down to something they can actually finish.
Four focused sprints in which every student builds something real with AI as a collaborator, not a shortcut. Working beats beautiful, and the room is built for finishing the work rather than chasing perfection.
Students prep a three-minute presentation and ship their work at a public showcase. Families, administrators, and the wider community are warmly invited to come and watch.
See the session-by-session curriculum →
What is already known, what is still being tested, and what will be reported back honestly.
This program is intentionally early. Pilot cohorts are launching now, the framework is openly licensed under CC BY 4.0 so any community can adopt and adapt it, and outcomes will be published openly as cohorts complete the twelve weeks. Honesty about that early state is part of the work.
What we already know
AI tools are quietly changing how work gets done across nearly every industry, and students who learn to collaborate with these tools early are going to have a meaningful advantage in the years ahead. The tools themselves are ready right now, and the gap between what is possible and what most students actually have access to is real, widening, and worth closing.
What we are still testing
We are testing whether a 12-week afterschool program, run by one advisor in the room with whatever AI-fluent professionals a community can find as visiting guides, can reliably produce students who ship real projects and gain genuine exposure to professional work along the way. Cohorts are launching now, and we are learning alongside everyone running them.
What we will report back
We will publish project completion rates, honest student and advisor feedback, guide participation numbers, and sponsor allocation, all alongside methodology and sample sizes so the results can be read fairly. Outcomes will be published openly as each cohort completes.
How to run a pilot this semester.
Honestly, the program only needs two ingredients to get going. There is one advisor running the room and a first cohort of 8 to 15 students in grades 7 through 12. The school provides the room and the advisor’s time, and families provide the device and a small AI subscription once students reach the build phase. AI-fluent professionals from the local community visiting as guides enrich the room when they can be found, but the program runs without them too.
Find an advisor first.
One adult willing to give roughly an hour a week for a single semester is enough. A teacher, counselor, or youth leader is the most natural fit, and they do not need to know AI themselves. They just need organizational energy and a willingness to hold the room. If no staff member is available, a parent or community volunteer who already uses AI in their work can take the role under the school’s standard volunteer-supervision policies, with a school staff member still present at every session.
Invite any AI-fluent guides you can find.
Look for working professionals who already use AI tools in their actual day jobs, including developers, designers, marketers, engineers, founders, artists, and writers. They each visit the room once for a 45-minute conversation and share what building with AI really looks like out in the real world. Guides genuinely enrich the cohort, but they are encouraged rather than required, so do not let a thin local network hold up your launch.
Pick a small, mixed first cohort.
Eight to fifteen students from grades 7 through 12, ages 13 through 18, works beautifully. Mix interests on purpose, since the cross-pollination is part of the magic. Start small and let the program earn its own growth from there.
Run twelve weeks of sessions.
One 60 to 75 minute session per week (45 minutes at the minimum), after school, for twelve weeks in a row. Every student picks something they care about, vibe codes it from idea to working version, and ships it by week twelve. Families and local press are invited to the public showcase at the end.
- Each student ships one working project they vibe coded and directed themselves.
- Each student leaves with at least three personal connections to working adults who build with AI.
- Each student walks out with practical, supervised experience using AI as a creative collaborator.
- Each student records a three-minute public showcase presentation that becomes part of their portfolio.
A measurement note. These are the outcomes the framework is built to deliver, and results will be published openly as cohorts complete the twelve weeks.
A note on cost. This is hosted as an after-school program, so the school is not funding it. Free-tier AI tools are sufficient for the early weeks. Once students enter the build phase, a paid AI subscription that runs around $20 per month becomes useful for the work students do at home, generally paid by the family. Scholarships are available through the VIBE Fund for families where this would be a hardship, and scholarship status is kept private from the cohort.
A note on safety. Every adult in the room (advisor and any guests) must pass a background check through the school’s standard volunteer process before they meet a single student, and a school staff member is present at every session per the school’s standard supervision policies. The AI tools used in the program have content safety filters, all students must be 13 years of age or older, and written parental consent is required for every participant. Full safety and compliance details →
The full argument, the starter guide, and every framework document.
The framework sits inside a longer essay about what the AI economy actually means for students, families, and communities. Both the essay and every supporting document below are free to read, print, and share. All printable documents are formatted for standard 8.5 by 11 paper. Everything on this site is licensed CC BY 4.0.
The Gap
The longer piece on why the job market is shifting, which careers appear to be compounding with AI, and what communities can do about all of it right now.
Read →One-page pilot guide
The whole framework on a single sheet, including seven launch steps, the twelve-week calendar, and the key outcomes. Read in roughly 90 seconds and print cleanly on one page.
Download →Parent & guardian consent
The exact consent language schools have used. Covers participation, AI tool use, and showcase media opt-ins. Adapt freely for your community.
Download →Board & administrator brief
One-page brief for principals, superintendents, and board members. Covers cost, liability, standards alignment, and the path to yes.
Download →School memorandum of understanding
A lightweight host-school MOU covering responsibilities, cost, data handling, liability, and the open license. Adapt freely.
Download →AI acceptable use policy
A short, plainspoken student-facing AI use policy template covering attribution, content limits, academic integrity, and reflection.
Download →Guide volunteer agreement
The volunteer professional agreement covering background check, supervision rules, confidentiality, and volunteer status. Used before a guide’s first session.
Download →The full resource index
Every download on the site, organized by audience and use case. The single bookmark to keep handy.
Browse →Ready to get started?
Share a little about your school or organization and a real person will help you plan your first cohort. There is no application form, just a straightforward conversation.
When you email, please share:
- Your role at the school or organization, whether that is principal, teacher, PTA volunteer, parent, or sponsor.
- The name of your school or organization.
- An approximate cohort size and the grade range you have in mind.
- When you would ideally like to start the program.
You can also email us directly at [email protected].