Workflow · education · workflow
Duolingo uses Large Language Models to generate lesson exercises faster at scale
Duolingo has fewer than 1,000 employees serving over 21 million daily users, and building, updating, and maintaining courses takes considerable time—most courses release new content only a few times a year—limiting how quickly the team can expand the depth and breadth of available learning content.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Curriculum design
The Learning Designer plans the theme, grammar, vocabulary, and exercise types for a given lesson.
Tools used
Large Language ModelBirdbrain
Outcome
AI-assisted lesson generation allows Duolingo to produce quality content faster, enabling the team to reach more advanced CEFR levels, allocate resources to additional features, and expand to smaller language courses.
Results
Time savedin a matter of seconds
Grounding & classification
Source type: technical build writeup
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content generationhuman review describednamed customerproduction runtime claimedtools describedworkflow describededucationemployee productivitythroughput increasetechnical build writeupai draft human approval