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Apple’s on-device Foundation Models framework delivers privacy-first AI integration for iOS 26 developers using 3 billion parameter models along with tool calling support

September 23, 2025 //  by Finnovate

As iOS 26 is rolling out to all users, developers have been updating their apps to include features powered by Apple’s local AI models.  The Lil A rtist app offers various interactive experiences to help kids learn different skills like creativity, math, and music. An AI story creator with the iOS 26 update allows users to select a character and a theme, with the app generating a story using AI. The text generation in the story is powered by the local model. The developer of the Daylish app is working on a prototype for automatically suggesting emojis for timeline events based on the title for the daily planner app. Finance tracking app MoneyCoach has two neat features powered by local models. First, the app shows insights about your spending, such as whether you spent more than average on groceries for that particular week. The other feature automatically suggests categories and subcategories for a spending item for quick entries. The word learning app LookUp has added two new modes using Apple’s AI models. There is a new learning mode, which leverages a local model to create examples corresponding to a word. The developer is also using on-device models to generate a map view of a word’s origin. The Tasks app implemented a feature to suggest tags for an entry using local models automatically. It’s also using these models to detect a recurring task and schedule it accordingly. And the app lets users speak a few things and use the local model to break them down into various tasks without using the internet.

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Category: AI & Machine Economy, Innovation Topics

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