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Build with AI · Course Assistant setup

Set up an AI tutor that answers from your course.

The Course Assistant is a per-course AI tutor you configure, test and publish yourself. It answers student questions from the sources you choose, cites them, and is instructed to say so when your materials do not cover a question. This guide walks through the setup in the order to do it.

Setup

Seven steps, in order.

Most of the work is choosing sources and testing. Settings can be changed at any time, and students see nothing until you turn it on.

  1. Step 1

    Open the Course Assistant for your course

    From the course page, choose Course Assistant. The first time, it opens on Settings, because nothing can be asked or added until the assistant has been created and saved.

    • The assistant belongs to one course. Each course you teach has its own settings and its own sources.
    • It starts as a draft that only you can use. Students cannot see it until you turn it on.
  2. Step 2

    Name it and tell students what it is for

    Give it a name and a short description. Both are shown to students, so say plainly what it helps with and what it does not.

    • You can add up to six suggested prompts, one per line, such as "What is due this week?" or "Where is the reading for Module 3?"
    • Write prompts from questions students already email you. They set expectations for what the assistant is good at.
  3. Step 3

    Choose how it teaches

    Pick Direct, Balanced or Socratic. Balanced is the default: a short explanation, then a question that checks understanding.

    • Direct explains first and then checks understanding. Socratic leads with guiding questions and hints, and explains if a student stays stuck.
    • Logistics questions such as "when is this due?" are always answered directly, whichever style you pick.
    • You can add your own guidance in plain language, for example which weekly readings to emphasize.
  4. Step 4

    Choose what it can read

    On the Knowledge tab, decide which course content the assistant draws on. Its answers about your course come only from these sources.

    • From Canvas: syllabus, pages, modules and their items, assignments and rubrics, announcements, discussion prompts, quiz titles and dates, and the course calendar. Each category has its own switch.
    • Files: choose only files in published modules, all visible course files, or none. PDF, Word, PowerPoint and text files from the LMS are read up to 15 MB each.
    • Your own uploads: PDF, Word, PowerPoint, text or Markdown, up to 10 MB each. Mark an upload instructor only and students cannot retrieve it.
    • Rocketproof assignments, modules and dates are read live, so a publish change applies right away. LMS content applies at the next sync.
    • Each source shows whether it is indexing, ready or in error, so you can see what the assistant actually has before a student asks.
  5. Step 5

    Set boundaries for graded work

    In "Boundaries for assessed work", write what the assistant may and may not do for your assignments, for example never suggesting a thesis statement for the Module 4 essay.

    • Platform rules always apply and your text cannot override them. The assistant is instructed never to write work a student could submit, and it cannot see grades or other students’ work.
    • Rubric explanation is off by default. If you turn it on, the assistant can explain what each Rocketproof rubric criterion values. It never shares scores.
  6. Step 6

    Test it as a student, before any student does

    On the Assistant tab, choose "Test as a student". You see exactly what a student sees: only published, available content and no performance data. Test chats stay in your own history.

    • Ask a logistics question, such as a due date, and confirm the answer matches your syllabus.
    • Ask about a concept from a reading, and open the numbered source to confirm it points to the right passage.
    • Ask something your materials do not cover. The assistant is instructed to say it does not have that information and to point the student to you or the LMS.
    • Ask it to write a graded answer for you, and confirm it redirects the student to guiding questions.
    • If an answer is wrong, fix the source document or your guidance and test again.
  7. Step 7

    Turn it on, and keep it current

    Choose "Turn on for students". Actively enrolled students can then use it in Rocketproof and, where your institution has set it up, from the LMS. You can turn it off at any time and your settings and sources are kept.

    • With automatic sync on, LMS content refreshes every few hours and when a launch finds the knowledge out of date. "Sync now" runs it on demand.
    • When your syllabus or a reading changes, update the source, then repeat the test questions above.
Answers

What a student gets when they ask.

These are the behaviors the assistant is instructed to follow. Instructions to a language model are not guarantees, which is why step 6 is a test.

It cites what it used

When an answer uses a course source, the assistant cites it with a number such as [1], and the student can open that source. It is instructed to cite only sources it actually used.

It says when it does not have the answer

Course specifics such as dates, policies and requirements must come from your sources. If they are missing, the assistant is instructed to say so and to suggest asking you or checking the LMS, and never to guess a date or policy.

It separates general knowledge from your course

It may explain a general concept from general knowledge, and it is instructed to say when it is doing that instead of reporting what your course says.

It guides on graded work

For graded assignments, quizzes, exams and defenses, it is instructed to explain the task, ask guiding questions and point to the material, and to redirect a student who asks it to just write the answer.

Privacy

What the student-facing assistant cannot see.

Students should be able to ask freely without the assistant knowing how they are doing. The student-facing assistant has no access to the following.

  • Grades and scores, including AI-drafted scores
  • Other students’ work
  • Instructor private comments
  • Integrity flags and the review queue
  • Analytics of any kind
  • Student replies in discussions
  • Quiz questions and answers (only titles, descriptions and dates are read)
  • Content that is unpublished, hidden or locked in the LMS

Retrieval is filtered by audience before ranking, so content a student may not see is never a candidate for an answer. For data handling, retention and subprocessors, see the security page.

Where it runs

In Rocketproof, and in your LMS.

Actively enrolled students reach the assistant inside Rocketproof once you turn it on. Placing it inside the LMS is a separate step done by your institution.

LMS placement uses LTI 1.3 and is configured by your institution’s LMS administrator, who registers Rocketproof once for the institution. Content from Canvas syncs into the assistant through credentials the administrator provides.

Canvas is the platform verified end to end. Blackboard, Moodle and D2L Brightspace are supported on the same standard, but a launch has not yet been observed on their test systems. See the LMS integration page for the status of each platform.

Scope

What this tutor does and does not do.

Faculty judgment stays central. The assistant helps students prepare. It does not decide anything about them.

  • The assistant does not grade, score or judge students, and it does not detect AI use. Grading stays with you.
  • It answers from the sources you give it. If a source is outdated or wrong, the answer can be too.
  • Language models can still misread a passage or miss a relevant one. Citations exist so students and you can check.
  • There is no dashboard of questions the assistant could not answer. Testing before launch, and fixing sources afterward, is how you find gaps.
Frequently asked questions

Course AI tutor setup questions.

How do I set up an AI tutor that only answers from my course materials?

In Rocketproof, open the Course Assistant for the course and name it. Choose a teaching style, then choose the sources it can read: Canvas content, selected files and your own uploads. Set boundaries for graded work and test it as a student. Turn it on for students when the answers match your materials. Answers about your course are drawn from those sources and cite them. The assistant is instructed to say when it does not have the information.

Can students use it to get answers to graded assignments?

It is instructed to guide students on graded work and never to write an essay, code or answer a student could submit. You can add your own boundaries for specific assignments. Instructions to a language model are not a guarantee, so test the assignments you care about before you turn it on, and tell students what it is for.

What can the assistant see about students?

The student-facing assistant cannot see grades, other students’ work, instructor private comments, integrity flags or analytics. It reads only published, available course content, and it never reads student discussion replies or quiz questions.

Does it work inside Canvas?

Rocketproof uses LTI 1.3, and your institution’s LMS administrator configures the connection. Canvas is the platform verified end to end. Blackboard, Moodle and D2L Brightspace are supported on the same standard, but a launch has not yet been observed on their test systems, so confirm with us before planning a term around them.

Which files can I add?

You can upload PDF, Word, PowerPoint, text or Markdown files up to 10 MB each. Files synced from the LMS are read up to 15 MB each. Uploads can be marked instructor only, so students cannot retrieve them.

Can I see which questions students asked that it could not answer?

No. There is no report of unanswered questions. Use the Test as a student view to ask the questions students are likely to ask, including ones your materials do not cover, and fix the sources where the answers fall short.

Try the setup on one course.

Explore the interactive demo, or join the waitlist to set up the Course Assistant for your own course.