Piloted at the University of Maine, Spring 2026
Make AI use a social discussion.
A shared, safe space to use AI with faculty, TAs, and classmates. Work out together where it helps, where it doesn't, and when not to use it at all.
Course channels with an @ai anyone can call on in front of everyone — so AI use gets discussed, critiqued, and learned together.
No setup. Sign in with your institutional (.edu) address and you land in a shared demo institution with a sample course. Request your own institution →
Already have an account? Sign in here1The platform
It's a human collaboration platform first
Channels, threads, notifications, and search, like any team chat. @ a person to collaborate in real-time. @ai to use AI in a shared space, which enables critique and discussion by default.
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Visible by default
AI answers land in the channel, next to the discussion — so a good prompt gets borrowed and a bad answer gets corrected out loud.
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Explained, not assumed
Every AI option says what it does in plain language, right where you switch it on.
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Yours to leave
Work in private channels, hide a sentence from the AI, or opt out of AI reading your posts entirely.
2Environmental impact
Discuss and critique environmental impacts
Every AI query carries energy and water estimates, and every member sees their own and the class's running totals.
- Per-reply estimates —
est. 0.4 Wh— sit next to the token count, so the footprint is part of the same conversation. - “Is this question worth its energy?” becomes a class discussion based on data.
- CO₂ Emissions
- 182 g
- Energy Used
- 0.42 kWh
- Water Used
- 1.6 L
- 🔌 charging a smartphone 34 times
- 🎬 watching a 1-hour Netflix movie, twice
Class pledges to offset72%
3For the course
Shape the AI to the course
AI use guidelines, course materials, purpose-built assistants — set by instructors, and with added guidelines from students in channels they create.
Guidelines that nudge, then get out of the way
“Send anyway” is real — logged for discussion, not blocked. Trust first; revoke per student, never for the whole class.
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Course knowledge, in the answers
Upload the syllabus, readings, or a group's notes. Answers come from your materials, with the retrieved passages visible.
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Custom bots with custom guardrails (similar to custom GPTs or Gemini Gems)
Create a custom system prompt plus a knowledge base, to create what you think is helpful, like a writing critic or Socratic tutor that asks questions.
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A prompt library the class builds
The prompt one group refined becomes where the next group starts, with the original conversation also visible.
4Class discussion
Empowering class discussion
A spectrum dialogue turns a hard question into a picture of where the class stands, and why. Every member places an opinion on a spectrum, writes a point in a sentence or two, and includes the points of others in their own view.
- Opinions are continuous, not a vote: the spectrum shows a class that is split, leaning, or converging, and it moves as people read each other's points.
- Points are short by design, and the best ones are the ones most classmates include. Quiet students get the same weight as loud ones.
- Named, anonymous, or fully anonymous, chosen when the channel is created and never loosened afterward. The question of AI in the course itself makes a good first dialogue.
Design based on prior research on enhancing understanding and collaboration in discussion from the University of Washington and Travis Kriplean on Consider.it.
5Privacy
Privacy by design with pseudoanonymization and private student accounts
Nobody's name goes to the AI company. Identifiers are swapped for role-labelled pseudonyms before a query leaves the platform, and swapped back before you read the answer.
Want less on the platform in the first place? Instructors can create anonymous student accounts: a random username and no email, so a student's identity is never stored here at all.
6Getting started
From the demo to your own course in four steps
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1. Try the demo course
Sign in with your institutional (.edu) Google account and you land in a shared demo institution with a sample course. It is a worry-free sandbox where you can't make mistakes. You can always use it to try something new without affecting or access to any student data.
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2. Request your institution
A short form, from the demo or from this page: your name, your institution, what you teach. A person at the lab reads it, and sets up your institution.
Request your institution → -
3. Create your students' accounts
From your course's Students tab, create accounts in bulk. Each gets a random username like User1384 and no email address, so students never hand their identity to us or to an AI provider. (You may also give students the option to sign in with institutional Google accounts, but don't require that.)
See the Students tab in the demo → -
4. CollaborAITE!
A basic amount of usage is included on the platform's keys, with daily limits per person and per institution. Add your own API keys for your institution or for a single course to lift the limits. Keys are encrypted at rest.
How to get an AI API key: Anthropic ↗ OpenAI ↗ Google AI Studio ↗
7The CollaborAITE Team
Teachers and students
CollaborAITE comes from the YESS Lab at the University of Maine, designed and built by teachers and students, including undergraduate students.
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Team member Undergraduate developer
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Team member Undergraduate developer
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Team member Undergraduate developer
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Team member Undergraduate developer
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Team member Undergraduate developer
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Jon Ippolito Environment and design consultant
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Dr. Greg L. Nelson Faculty lead · YESS Lab
Instead of hunting down AI use, become the leader of a pack that learns to use and not use AI responsibly.
Power with responsibility
Students are given power with responsibility: they can override the AI guidelines checker when they think it is wrong, but it is logged.
Students need to be able to make mistakes and get feedback to learn responsible AI use. Otherwise, they will just use AI and hide it.
Students that abuse AI can have their privileges limited in response.
Designed with educational values first
Co-designed with, and mostly written by, undergraduate students — a tool meant to give students agency should be built with students.
If an instructor can do something to help learning, a student should be able to do it too — add guidelines, invite a TA, start a channel, add AI, give feedback on someone's AI use.
8Questions
FAQ
- Can my instructor see everything I do?
- No. Private channels are private. One deliberate exception: overriding an AI-use guideline is logged for your instructor.
- Does my name reach the AI provider?
- Identifiers are pseudonymized before a query leaves the platform, and you can read the exact text that was sent. Details you write about yourself in prose aren't caught, so the protection has limits.
- What if I don't want to use AI at all?
- Then don't. CollaborAITE works as a collaboration platform without it, and you can exclude your own posts from ever being read by the AI.
- Is this more work for instructors?
- Some, up front. Invisible AI use has its own cost: work you can't give feedback on, and misconceptions you find at grading time.
- Won't students just override the guidelines?
- Some will, but that enables a conversation about judgement. A hard block will just push AI use where you can't see it. Override rights can be turned off per student.
- Is this more private than (tool X)?
- CollaborAITE uses industry standard encryption for stored data at rest and in transit. But CollaborAITE might be better because we just store less information.
- CollaborAITE supports anonymous student accounts created by instructors for their course, without any email or identifying information associated with them.
- Pseudonymization (sending Person_X instead of “Maya”) provides an extra layer of privacy, on top of AI providers’ agreements to not train on any data sent. AI queries are all sent inside one institutional bucket instead of associated with individual users or emails.
- Data on CollaborAITE is scoped per institution using row-level security. To create a special separate environment for your institution, contact us for hosting options (such as hosting on an institutional Microsoft Azure account).
Decide together how to use and not use AI responsibly in your course.Try the demo coursesign in with Google
Ready for your own course? Request us to add your institution.
9Pilots
From the pilot writing courses
Piloted in Spring and Fall 2026 with 100+ students at the University of Maine. Four moments the shared space made possible.
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“Am I on the right track?”
A student @'d their instructor mid-draft. The earlier attempts were right there in the channel, so the feedback could be about that student's actual argument.
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Seven minutes, one survey
An instructor built a check-in survey in the open with students adding questions, then taught from the needs they'd shared anonymously.
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A better prompt, taken up
A teammate saw a research report in the channel, improved the prompt, and ran a better one. Peer learning about AI, in public.
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A discussion with no AI in it
For their final essay workshop, students had every AI feature available and used none. We count that as the platform working.