back_office_ops · workflow
Duolingo uses large language models to accelerate language lesson creation
Duolingo has fewer than 1,000 employees but over 21 million daily active users, and building, updating, and maintaining course content takes so long that many courses can only release new content a few times per year.
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
A curriculum designer plans the lesson theme, grammar, vocabulary, and exercise types.
Tools used
大規模言語モデルバードブレイン
Outcome
AI tools allow Duolingo's education experts to generate large amounts of lesson content with a button click, enabling them to work more conveniently, faster, and more productively while maintaining content quality.
What failed first
The previous Birdbrain AI could only select practice problems, not create them; human experts had to write each problem individually, then review, correct, and translate them — a slow per-exercise process.
Results
Time saved数秒のうちに
Volume2,100万人を超えています
Grounding & classification
Source type: technical build writeup
20 fields verified against source quotes.
content generationknowledge basefailure mode describedhuman review describednamed customerproduction runtime claimedtools describedworkflow describededucationemployee productivitythroughput increasetechnical build writeupback office opsai draft human approval