MagicSchool AI

MagicSchool AI is building the future of teaching and learning with AI, serving over 4 million educators as the fastest growing technology platform for schools. But as Austin Howe, Staff Engineer at MagicSchool, explains:

"We are looking for a way to plug our existing TypeScript modules into agentic frameworks to promote reusability, composability, and speed."

The team had built substantial TypeScript infrastructure but struggled with a fundamental problem:

"We lacked a cohesive way to manage agent behavior and reuse TypeScript functions across tasks, which slowed iteration and introduced brittleness."

Austin and the MagicSchool team found VoltAgent to be a natural fit for their needs.

• Integrate their existing TypeScript modules seamlessly into agentic frameworks
• Create structured agent logic that promotes reusability and composability
• Build more reliable systems for translating educator intent into personalized materials
• Use VoltOps to gain better visibility into agent behavior and build trust in their systems.

With VoltAgent, they were able to:

"VoltAgent made it easier to define agent logic; VoltOps made it easier to trust and refine it."

With VoltAgent and VoltOps, MagicSchool AI transformed their approach to building AI-powered educational tools. The structured agent framework eliminated the brittleness they experienced before, while enabling them to leverage their existing TypeScript investments more effectively.

"Structured agents without the headache,"

Austin summarizes. Now MagicSchool can continue scaling their platform to serve millions of educators with confidence, knowing their agent systems are both powerful and reliable.