Critsly: An Artefact-Aware AI Critique Teammate for Design Education and Project-Based Learning
arXiv:2607.09673v1 Announce Type: new
Abstract: Critique is central to design education and project-based learning, yet high-quality critique is often scarce, uneven, hard to document, and disconnected from evolving artefacts. We present Critsly, an artefact-aware AI critique workspace that turns AI from a detached feedback tool into a critique teammate in the learner’s board context. Critsly combines a visual design canvas with structured AI-supported reflection, multi-perspective critique, action planning, optional peer/jury settings, and educator evidence traces. Unlike chatbot feedback tools that rely on isolated text prompts, Critsly grounds critique in a structured board state containing design intentions, board elements, annotations, links, and prior critique history. Reflecture, Critsly’s guided reflection flow, works with Six Thinking Hats-inspired personas, board synthesis, generated action plans, exportable critique records, and educator evidence views in one workflow. The demo follows a learner from design intention to board-aware critique, persona-based evaluation, action-plan generation, and educator-facing evidence. Critsly contributes a working example of AI-supported critique that is more frequent, structured, inspectable, and actionable for learners and educators.
