The problem
Much AIGC learning remains a collection of tool tutorials and isolated exercises. Students learn to call models but do not complete a real project from idea to delivery, while teachers struggle to manage courses, workflows, compute, and student work.
The platform is planned as a project-based learning system where students make real work, teachers manage the process, and schools can see the results.
Planned platform structure
- Student experience: courses, project tasks, assets, workflows, AI tools, submissions, and showcases.
- Teacher experience: course planning, project templates, classroom interaction, review, and teaching data.
- Operations: schools, accounts, model capabilities, compute, resources, and platform configuration.
- Capability layer: text, image, voice, workflows, knowledge bases, and external model services.
Current status
The project has entered pilot operation and is being tested with real courses and project tasks. Current work focuses on feedback, course configuration, and platform stability across student, teacher, submission, and review flows.
Phase-one boundary
The first phase will validate one complete teaching loop: a teacher creates a course and project, a student completes work with controlled AI capabilities, the work is submitted and showcased, and the teacher reviews the process. More models and workflows come after this loop is proven.
Suggested screenshots
- Student course home and project task list.
- Task details, materials, and submission entry.
- AI tool or workflow selection.
- Student work editing, version history, and submission result.
- Teacher course and project template configuration.
- Teacher review, comments, and scoring.
- Showcase wall or class results page.
- Operations pages for courses, accounts, resources, or models.
Trial access
The platform is in pilot operation. Contact me if you would like to test the course, teacher, or submission flows; I can provide the appropriate access and testing notes.