The key to making learning stick
summary
Argues that learning sticks when examples show bare functionality, real usefulness and full integration into a workflow, not just abstract snippets. Recommends building tutorials from public datasets — for example a corpus of 200,000 Jeopardy questions — and iterating variants for different domains so the same API lands for multiple audiences. Suggests subscribing to data is plural for dataset ideas and loading examples into a local database or cloud service to demo real behavior.
AI-written summary · about
