Wharton's Generative AI Lab open-sources Primer, an agent system turning teacher talk into classroom simulations
emollick · x · 2026-11-13
Wharton's Generative AI Labs, led by Ethan Mollick, released Primer, an open-source, LLM-agnostic system where teachers describe a lesson via structured interview and get back a runnable, pedagogy-grounded simulation for students.
- Problem: quality simulations are hard to build at scale, and raw LLMs give answers too quickly, drift from objectives, and lack instructional structure.
- Approach: an educator-centered multi-agent architecture — the educator's judgment is elicited through conversation, rendered into a reviewable design document, and nothing is built until approved; scaffolding and feedback rules live in each agent's instructions.
- Open by design: paper, prompts, and code are public, supporting local and open-source models for varied governance regimes.
- Funded by the Bezos Family Foundation and others; the team hopes educators and researchers will build on it.
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