SmartGym also generates insightful summaries of workout data, including monthly progress overviews, routine breakdowns, and individual exercise performance, all presented in a simple, easy-to-understand format. Additionally, users can receive coaching messages that adapt to their preferred style, and after completing a workout, they can add personal notes or generate an entire note automatically based on workout data. And every time a user opens the app, SmartGym greets them with a personalized, dynamic message generated in real time, informed by current fitness data.

Additional health and fitness apps have tapped into the Foundation Models framework to power all-new experiences in their apps. SwingVision, an app that helps users with their tennis or pickleball skills, generates advice for players to improve their game. The app uses the Foundation Models framework to analyze videos of a user’s game provided as an output from Core ML models, giving highly actionable and specific feedback. 7 Minute Workout allows users to create dynamic workouts using natural language, such as specifying that they want to avoid exercises that would exacerbate an injury or if they’re preparing for an event. The app also delivers motivational feedback in a friendly, natural tone. Journaling app Gratitude generates detailed weekly summaries of challenges, wins, intentions, and suggested affirmations. Using the Foundation Models framework, the app additionally transforms journal entries into personal, context-aware affirmations.

Stuff is designed to keep track of the dozens of to-dos that come to users’ minds throughout the day, helping them organize their lives and achieve their goals. Thanks to the Foundation Models framework, Stuff now understands dates, tags, and lists as users type. They can simply write “Call Sophia Friday,” and Stuff populates the details instantly into the appropriate places. With Listen Mode, a user can speak their thoughts, such as saying “Do laundry tonight” and “Prep for trip next weekend,” and Stuff turns them into organized, editable tasks. In Scan Mode, users can capture handwritten tasks, even from paragraphs or scribbles, and add them directly to Stuff.