Learn with curiosity. Think for yourself.

AI can help us explore ideas, write, and solve problems. Working with it also raises questions: Is this answer reliable? Is this still my voice? Am I learning, or simply accepting what appears on the screen?

Our programs help you explore those questions through conversation, creative practice, and hands-on learning.

HOW WE LEARN

Try it. Notice what happens. Ask a better question.

Learning becomes more useful when you can put an idea into practice and explain what you discovered.

Across our programs, you will practice how to:

Check an answer before relying on it.
Use AI while keeping your own voice and making your own decisions.
Set boundaries around what you share and what a system may do.
Notice how your body and attention respond while you work.
Try a different approach when something does not make sense.

FEATURED TEACHING LAB

TRIA in Practice

Build an agreement that changes what happens.

If you give a system permission to use information and later change your mind, what should happen next?

This five-lesson lab lets you see the answer in a small working project. You will give a local program permission to read a fictional meeting preference, withdraw that permission, and inspect why its next attempt stops.

Then you will change the example and try it yourself.

For AI builders, technical researchers, and people comfortable following basic Python instructions.

Five lessons

Begin with permission. Run the example with consent and permission active. Check that the action happened.
Withdraw permission. Remove the program’s permission to read the information. See why the next attempt is blocked.
Withdraw consent. Restore permission, then withdraw the participant’s agreement. Learn why these are separate requirements.
Reopen the record. Close and reopen the saved project. Check that the withdrawal still affects the next attempt.
Make it your own. Change the sample information and its purpose. Plan the permissions needed for one action in your own project.

Before you begin

You should be comfortable opening a terminal, finding a folder, and editing a short text file. You do not need previous experience with TRIA.

The lab requires Python 3.11 or newer, including SQLite. Linux is the tested environment for this edition. macOS has not been execution-tested for this edition; native Windows support is not claimed.

No paid AI account or API key is required. The exercises use fictional information and run locally.

What you receive

A working teaching application.
A 12-page guide with instructions and explanations.
Exercises that help you predict and understand each result.
An editable Python example.
A worksheet for planning who may authorize an action and how that authorization can change.
Setup and troubleshooting notes.

Five recorded walkthroughs and transcripts are in preparation.

$49 USD · One-time purchase · Self-paced learning kit

The first edition is in preparation. Purchases will open after learner testing and payment-to-download delivery checks are complete.

The SDK is free. The teaching is the offer.

TRIA’s SDK is the software used in the lab. Its source code, documentation, and public examples are open source and freely available from Trivian Technologies.

The $49 pays for the Institute’s guided lessons, exercises, and learning materials. You are welcome to explore the software independently at no charge.

OUR EDUCATIONAL COMMONS

Resources for different learners and different questions.

Our growing collection brings together materials for people learning about AI, educators, young people, and those exploring writing and embodied practice.

Interaction Literacy

Explore how to check AI answers, ask useful questions, keep your own voice, and decide what information to share.

Youth AI literacy

An emerging curriculum that helps young people explore AI with curiosity, check information, and understand how to credit the people and sources behind their work.

Educator commons

Resources and questions for bringing AI into learning while helping students develop their own understanding.

Embodied creative learning

Writing, conversation, movement, and reflection that help learners pay attention, express themselves, and explore ideas.

LEARNING WITH YOUR COMMUNITY

What are your learners trying to understand?

If you are planning a class, workshop, or community program, we welcome a conversation about the people involved and the questions they are facing.