How Preply combines AI and human tutors to personalize learning
OpenAI
Preply now leans on OpenAI to auto-summarize your language lessons and spin up custom drills afterward. Human tutors stay in the room, but AI quietly cleans up the paperwork around them.
Based on reporting by OpenAI — read the original for the full story.
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Preply built its business on human tutors, not chatbots. That's the interesting wrinkle in its latest move: rather than replacing the people who actually teach, the company is using OpenAI's models to make what happens after each lesson more useful. When a session wraps, the system now generates a written summary of what was covered, catches the mistakes a student kept making, and turns those weak spots into fresh exercises before the next class starts.
Anyone who has taken a language lesson knows the annoying part isn't the class itself, it's remembering what to actually practice afterward. Notes get lost, memory fades, and tutors don't always have time to write a detailed recap for every student they see in a day. Preply is betting that automating that step, quietly, in the background, keeps learners engaged between sessions instead of losing momentum.
What's notable is the restraint. Preply isn't pitching an AI tutor that talks back or replaces a teacher's judgment. It's using generative AI as connective tissue between human-led lessons, feeding personalized practice material based on what a real tutor noticed in a real conversation. That's a narrower, more defensible use of large language models than the
My take — AI-written commentary, not fact-checked reporting
I like this better than most AI-in-education pitches, mostly because Preply isn't pretending a chatbot can replace a tutor who notices you always mix up ser and estar. Slapping GPT onto the boring admin work around human teaching, instead of onto the teaching itself, is the boring-but-correct use of this technology, and I'd rather see ten more companies do exactly this than one more company promise a fully autonomous AI teacher that never quite delivers.
Read more about this at: OpenAI
