Workflow · workflow
Duolingo combines human expertise and AI across four course-creation stages to deliver personalized language lessons
Creating high-quality, personalized language courses at scale requires both creative human judgment and AI-driven personalization — neither alone is sufficient.
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 by experts
Experienced curriculum designers plan what to teach and when, specifying the order of learning objectives for any given course.
Tools used
BirdbrainDuolingo World character voices
Outcome
The result of all four course creation stages is a personalized Duolingo lesson that teaches carefully chosen concepts, uses rich language content, converts it into interactive exercises, and adapts to the learner's level.
Results
Volumework faster and with fewer mistakes
Grounding & classification
Source type: technical build writeup
16 fields verified against source quotes.
content generationpersonalizationrecommendation systemspeech to textknowledge basehuman review describednamed customerproduction runtime claimedtools describedworkflow describededucationemployee productivitytechnical build writeupai draft human approval