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AI Foundations is coming. Register your interest.

Learn one to one, with the agent you already use.

Tutr turns the AI agent you already use into a one-to-one tutor.

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Why one to one

The best way to learn has always been one to one.

In 1984 Benjamin Bloom compared students taught in a class with students taught by a tutor. The average tutored student did better than 98% of the class.

The method was never the problem. The cost was. Your AI agent already sits beside your work, so Tutr gives it a course to teach and the habits of a good tutor.

Taught in a classTaught one to oneClass average+2 standard deviations
The blue area is the 98% of the class who scored below the average tutored student. Benjamin Bloom, The 2 Sigma Problem, 1984.

Three habits of a good tutor, in every lesson.

The same way of teaching in every Tutr course.

You build something with it.

You and the tutor build something real together in your own project, such as a prompt pack, a checklist or a skill of your own. Then you keep it.

It leaves the decisions to you.

When a choice is yours, the tutor asks, then waits for your answer. A decision the tutor makes never counts as yours.

It checks before you move on.

A lesson counts as passed only when your saved work passes its check, not when the chat feels finished.

Start with AI Foundations.

Thirteen lessons for anyone who uses AI in their work, whether or not you write code. The course is coming, and it isn’t available yet.

Coming to Tutr

AI Foundations

You’ll learn how AI agents work by building with one: write requests it gets right, decide what it may see and do, connect an app, and teach it a skill of your own.

  • Beginner
  • 13 lessons
  • No code needed
See the course outline
  1. Getting started3 lessons

    What a model is, what your AI can see and do, and the approvals you set first.

  2. Asking well3 lessons

    Requests it gets right first time, and a prompt pack for jobs you repeat.

  3. Context and trust3 lessons

    What to share, what to keep private, and how to catch a confident mistake.

  4. Connect an app2 lessons

    Give your AI one of your apps, read-only first.

  5. Your skill, your call2 lessons

    Teach it a job you repeat, test it, and explain what you kept for yourself.

Outline subject to change.

Four things that won’t change.

  • Free to learn

    Tutr is free and open source, and you never need an account to learn. You bring the AI agent you already use.

  • Your work stays yours

    Tutr never receives your files or your conversations. They stay where you run your agent, and nothing goes anywhere else unless you opt in.

  • The record never lies

    Your progress shows only what passed its check. Skipped work never shows as passed, and the tutor’s decisions never count as yours.

  • Open, and not tied to one AI

    Tutr is open source under Apache 2.0, and its courses use the open Agent Courses format. You bring the agent and the model.

Questions, answered.

Is Tutr really free?
Yes. Tutr is free and open source under Apache 2.0. It uses the AI agent and plan you already have, and you never need an account.
Can I take AI Foundations yet?
Not yet. AI Foundations is coming, and it isn’t available today. Register your interest and we’ll email you about the beta and new courses.
Do I need to know how to code?
No. AI Foundations is for anyone who uses AI in their work, and its lessons won’t need code.
Which AI agent do I need?
One you already use. Tutr runs inside your agent rather than as another app. We’ll name the agents it supports once we’ve tested each one from start to finish.
What happens to my work?
It stays where you run your agent. Tutr keeps your progress in your own workspace and never receives your files or conversations.
Who makes Tutr?
Tutr is an open-source project, built in public. Its code is on GitHub under Apache 2.0, and its courses use the open Agent Courses format.