Riley Brown explains Cursor's agent sessions, workspaces, models, plan mode, in-app browser and design tools before building a landing page from prompts and screenshot feedback. He also shows how skills from other coding agents can be made available in Cursor as reusable instruction files.
The build expands into a native iOS app, a research canvas and a shared AI chat. Plugins add authentication, a Convex database and hosted deployment, while prompts connect the web and mobile clients to the same user data. The walkthrough stresses testing sign-in, chat history and persistence instead of assuming generated code works.
The advanced section covers GitHub backups and pull requests, cloud agents controlled from a phone, side chats, terminals, automations and lower-cost model choices. API credentials are treated as secrets, and the presenter recommends using branches and reviewing cloud-agent results before merging. Subscription and channel promotions are omitted.
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