> For the complete documentation index, see [llms.txt](https://examind.gitbook.io/v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://examind.gitbook.io/v1/feedback-machines.md).

# Feedback Machines

- [Get Started](https://examind.gitbook.io/v1/feedback-machines/get-started.md): What a Feedback Machine is, what it can evaluate, and how you and your students reach it — through Canvas or direct login.
- [Using Canvas](https://examind.gitbook.io/v1/feedback-machines/get-started/using-canvas.md): Enable Feedback Machines in your Canvas course and link a class so students can access it directly.
- [Without Canvas](https://examind.gitbook.io/v1/feedback-machines/get-started/without-canvas.md): Use Feedback Machines with direct login — no LMS required. Try it yourself, and give students access by email.
- [Build a Feedback Machine](https://examind.gitbook.io/v1/feedback-machines/build-a-feedback-machine.md): Create a Feedback Machine in four steps — from assignment instructions to a published machine students can use.
- [Modifying a Feedback Machine](https://examind.gitbook.io/v1/feedback-machines/build-a-feedback-machine/modifying-a-feedback-machine.md): Refine your machine by asking the AI to change questions, points, notes, and more — in plain language.
- [How Scoring Works](https://examind.gitbook.io/v1/feedback-machines/build-a-feedback-machine/how-scoring-works.md): How a Feedback Machine turns performance levels into a score.
- [Content Dependencies](https://examind.gitbook.io/v1/feedback-machines/build-a-feedback-machine/content-dependencies.md): External materials a question relies on — like a case study or template — and how to provide them.
- [Use a Feedback Machine](https://examind.gitbook.io/v1/feedback-machines/use.md): How students submit work to a Feedback Machine for iterative feedback — and how instructors can use the same machine themselves.
- [Bulk Grading Assist](https://examind.gitbook.io/v1/feedback-machines/bulk-grading-assist.md): Grade a whole class at once — upload a batch of submissions, let the machine evaluate them, and export the results.