Primer

Turning Teaching Expertise into Interactive Experiences

Primer is an open-source, AI-powered platform that revolutionizes how educational tools are created and deployed. This groundbreaking authoring system empowers teachers to build personalized learning experiences—from interactive simulations to intelligent tutors—without requiring any coding skills. By transforming natural language instructions into fully-functional educational applications, Primer allows educators to “program with prose,” putting sophisticated technology directly in the hands of those who best understand student needs.

The Power of Primer

Traditional educational simulations are expensive to create, technically complex, and can rarely incorporate teachers’ expertise. Primer shatters these limitations by democratizing access to cutting-edge educational technology for everyone, and making our core values central to how it works:

Universal Accessibility

Primer makes powerful learning tools available to every student and teacher worldwide at zero cost.

Teacher Empowerment

We place educators at the center of the design process rather than relegating them to end users.

Pedagogical Excellence

Primer builds on decades of learning science research.

Open Innovation

We aim to catalyze broader uses of AI in education with a foundation others can build upon.

How Primer Works

Primer orchestrates a sophisticated ecosystem of specialized AI agents working in harmony to transform teacher insights into effective learning tools. The process begins with an intuitive conversation between the teacher and an Interview Agent, which gathers specific learning objectives and contextual needs. Behind the scenes, a collaborative team of AI agents then spring into action:

Game Brainstorm Agent

Generates engaging simulation concepts tailored to learning goals

Pedagogy Agent

Designs educational loops incorporating instruction, practice, and feedback

Design Agent

Crafts compelling user experiences and game mechanics

Creator Agent

Builds the actual code and functional elements

Testing Agent

Plays through simulations to identify improvements

Questions? Contact Us

GenAILab@wharton.upenn.edu