An automated and scalable approach to generate tasklets from a natural language task query and a website URL. Glider does not require any pre-training. Glider models tasklet extraction as a state space search, where agents can explore a website’s UI and get rewarded when making progress towards task completion. The reward is computed based on the agent’s navigating pattern and the similarity between its trajectory and the task query.