Built on research.
Shaped by teachers.
Designed for how teaching actually works.
CARL helps educators reduce repetitive planning work while keeping professional judgment, accessibility, equity, and teacher-set planning choices at the centre.
Teaching has never been “just delivering content.”
The real work is the planning, adapting, rewriting, differentiating, and searching for examples that actually fit the students in front of you. That work matters, but it is often squeezed into the margins of already full days.
Most AI lesson tools generate an answer and leave teachers to do the hardest part alone: making it usable, equitable, accessible, and right for the room. CARL is built to support that professional work, not flatten it.
How can AI help make education more equitable and accessible while reducing the repetitive planning load teachers carry?
AI assists. Teachers decide.
CARL is intentionally AI-assisted, not AI-driven. It helps with structure, curriculum connections, components, and built-in supports, then hands every one of those back to you to review, edit, accept, or reject. You stay the person who teaches the final plan.
For the full picture of how we handle responsibility, privacy, and boundaries, see our Commitments & Design Principles .
Built from lived experience, research, and teacher feedback
CARL grew out of a practical belief: education technology should help more people access learning, not make the human work of teaching harder.
Courtnay’s experience as a late-diagnosed ADHD learner shaped the product’s focus on accessibility, flexibility, and dignity, and graduate work in AI and equitable education grew that lived experience into a research-backed design direction.
Teachers care deeply about their students, and they are also under real strain. That tension, deep commitment alongside rising workload, is why CARL focuses on reducing the repetitive load without lowering expectations for students.
The framework behind the product
CARL is shaped by research into AI-supported planning, equity, student voice, accessibility, and teacher collaboration. The CARING Framework helps keep that work practical.
Research threads
The CARING Framework
Built by a small, dedicated team
Shapes CARL around the realities of teaching, drawing on lived experience as a late-diagnosed ADHD learner and graduate research in AI and equitable education. She leads product vision, pedagogy, and inclusive design.
Turns CARL’s inclusive, research-backed vision into reliable, usable software, from the AI systems to the infrastructure it all runs on.
A practical guide, not a faceless chatbot
CARL started as a working name: Collaborative Academic Resource Library. The mascot came next because the product was never meant to feel like a blank AI box. CARL is a guide that’s supportive, a little playful, and genuinely useful without adding complexity to an already full plate.
Grow with us
CARL is live and always improving, shaped by the teachers who use it. Sign up and help shape what comes next.
