Agonara can grade a student's open answer with any model behind an OpenAI-compatible endpoint. The model grades per criterion, its output is validated before a student sees it, and the work runs as a leased, retried, budgeted job.
In Agonara, model suggestions and curator drafts never become program content by themselves, accepted content is kept as revisions, and a student's answers are pinned to the revision they answered. How the modules keep their own data apart.
Agonara is a bring-your-own-agent environment for learning programs. A curator builds a program from sources, students follow it and prove they understand, and the agent you already use does the drafting, quizzing and grading. What it is and why only a person accepts content.