Open Documentation
We publish lab reports, methodology notes, and pilot findings openly. Educators should not have to pay a vendor or attend a proprietary certification to learn from our experiments.
About the Lab
TeachWithAI was founded on a straightforward conviction: the classrooms of 2030 will not be designed by accident. They will be prototyped deliberately — in labs where educators have the space, tools, and community to experiment with artificial intelligence as a genuine partner in teaching and learning.
Our Story
Kamloops sits at the geographic heart of British Columbia — a city where education, technology, and community intersect in ways that larger metropolitan centres often overlook. TeachWithAI chose 450 Lansdowne Street as our home because we wanted a studio that felt accessible to educators across the BC Interior, the Lower Mainland, and the Prairies, without the overhead and detachment that sometimes accompanies big-city innovation hubs.
Our founders came from instructional design, public education administration, and applied AI research. They had attended countless professional development sessions that treated artificial intelligence as a novelty — a chatbot demo here, a prompt-engineering handout there — and they recognised a structural problem. Educators were being asked to adopt technologies that no one had tested rigorously in real learning environments. There was no shared methodology, no ethical review process, and no place to fail safely before rolling ideas into classrooms.
TeachWithAI was created to fill that gap. We are an independent AI education innovation lab — not a university, not a college, and not a government-accredited degree-granting institution. Our work supports professional development, curriculum prototyping, and experimental learning for educators who want to shape what comes next rather than react to vendor roadmaps.
Since opening our Lansdowne Street studio, we have welcomed school district teams, independent instructional designers, faculty from post-secondary institutions, and education technology specialists from across Canada. Every programme we offer emerges from the lab's own experimentation — tested in our prototyping booths, documented in open lab reports, and refined through structured peer review before we invite external participants.
Methodology
Our methodology is built around design sprints, ethical review, and documented iteration. When an educator enters TeachWithAI — whether for a four-week foundation programme or a twelve-week institutional residency — they follow a structured process that balances creative freedom with methodological rigour.
Every project begins with a framing question: What learning challenge are you trying to solve, and what role might AI play without compromising learner agency, privacy, or inclusion? Participants then move through rapid prototyping cycles in our studio, testing ideas with peer reviewers and, where appropriate, with learners under controlled conditions. Failures are recorded as carefully as successes; our lab reports include dead ends and pivots, not just polished outcomes.
Ethics and governance are not afterthoughts. Track six of our innovation framework — dedicated to policy, consent, and audit processes — runs parallel to every other track. We align our practices with PIPEDA requirements and provincial education standards, and we help institutional teams develop internal policies before they deploy AI-assisted tools in their own settings.
Our innovation lead and facilitation team bring backgrounds in curriculum architecture, immersive environment design, and responsible AI deployment. They do not lecture from fixed slide decks. They work alongside participants at prototyping workstations, in immersive booths, and in collaborative review spaces — modelling the co-teaching relationships we believe will define the future classroom.
The Studio
The Lansdowne Street studio is more than office space with whiteboards. It is a working prototype of the hybrid learning environments we help educators design. Flexible furniture, natural light, open editorial layouts, and dedicated technology zones create conditions for the cross-disciplinary thinking that AI education innovation demands.
Visitors encounter functioning prototypes — virtual teaching assistants under human oversight, knowledge simulation modules in active iteration, immersive lesson flows being tested with structured observation protocols. We maintain this transparency deliberately. Educators deserve to see how innovation actually unfolds: the messy middle, the peer feedback sessions, the ethical review checkpoints, and the documentation that turns experimentation into institutional knowledge.
Our future classroom prototype zone allows teams to test physical layouts, technology stacks, and facilitation models optimised for human-AI co-teaching. School administrators walk through spatial configurations. Instructional designers evaluate sightlines, acoustics, and workflow. Faculty practise facilitation techniques before introducing new approaches to their own students.
Lab tours are available by appointment for educators, administrators, and community partners who want to understand our approach before enrolling in a programme or commissioning a residency. We welcome questions, scepticism, and ambitious ideas in equal measure.
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Commitments
We publish lab reports, methodology notes, and pilot findings openly. Educators should not have to pay a vendor or attend a proprietary certification to learn from our experiments.
Every innovation emerging from TeachWithAI prioritises learner choice, transparency, and meaningful human connection. AI augments teaching — it does not replace the educator's judgement or the student's voice.
Our work is grounded in Canadian public education values: inclusion, privacy under PIPEDA, provincial curriculum alignment, and respect for Indigenous knowledge systems and local community priorities.
We collaborate with school districts, colleges, and education technology organisations on pilot projects — always with clear scopes, documented outcomes, and ethical review before deployment.
Education Disclaimer: TeachWithAI is an independent AI education innovation lab. We are not a university, college, or government-accredited degree-granting institution. Our programmes support professional development and experimental learning only.