Build & Publish Your First AI Tutor: A Quick Primer

What is an AI tutor and how does it work?

An AI tutor is a chat-based assistant configured around a specific subject and set of source materials, so it answers learners from your content rather than from the open internet. It works by combining source material you supply with behavior instructions that tell it how to respond, when to explain, and when to hold back. This course walks through framing, building, testing, and publishing one end to end.

How do you decide what an AI tutor should actually teach?

Start from a real gap your learners have rather than from everything you could possibly cover, then narrow the tutor to one clear job it does well. Defining a tutor your learners actually need means naming who it serves and the questions they keep asking. A tightly framed scope makes every later step, from gathering material to testing, far easier.

What source material do you need to make a subject-specific chatbot?

You need the documents, notes, and examples that already hold your knowledge, gathered and then shaped so the tool can use them cleanly. Shaping means trimming duplication, clarifying wording, and organizing the material around the questions learners will ask. Well-prepared sources are what keep a tutor's answers accurate and on-topic.

How do you control the way an AI assistant responds to people?

You configure its behavior with instructions covering tone, how much detail to give, and how to handle questions outside its scope. This is where you decide whether it acts as a patient explainer, a quiz partner, or a quick-reference guide. Clear behavior settings are what separate a helpful tutor from one that rambles or answers questions it shouldn't.

How do you test an AI tutor before letting people use it?

Run it through the real questions your learners would ask, including awkward or off-topic ones, and watch where it drifts, guesses, or misses. Each weak answer points to either a gap in your source material or a behavior instruction that needs tightening. Testing and refining in this loop is what makes a tutor trustworthy before you publish.

How do you publish and share a tutor once it's built?

Publishing turns your configured tutor into something learners can reach and use, and sharing means getting that access into the right hands. Before you share widely, it helps to confirm the tutor behaves as intended with a small round of real use. This course ends by taking your first tutor from finished build to live and shared.