Earlier this year, Apple launched its Foundation Models structure during WWDC 2025, which permits creators to utilize the company’s native AI engines to power elements within their applications. The organization promoted that with this framework, programmers obtain access to AI engines without worrying about any prediction cost. Additionally, these on-device models hold abilities such as directed creation and tool invocation included.
Integration With iOS 26
As iOS 26 rolls out to every user, developers have been refreshing their apps to embed functions powered by Apple’s local AI engines. Apple’s engines are modest compared with leading networks from OpenAI, Anthropic, Google or Meta. That is why local-only functions primarily enhance the quality of life inside these apps instead of introducing substantial transformations to the app workflow.
Early Apps Using Apple’s AI Framework
Below are several of the initial apps to engage Apple’s AI structure.
Lil Artist
The Lil Artist app supplies diverse interactive experiences to help children master different skills like imagination, arithmetic, and music. Creator Arima Jain and Aman Jain delivered an AI story builder with the iOS 26 update.
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This allows customers to choose a persona and a theme, with the app producing a narrative using AI. The programmer stated that the text generation within the story is fueled by the local engine.
Daylish
The developer of the Daylish app is crafting a prototype for automatically proposing emojis for timeline happenings based on the title for the daily planner app.
MoneyCoach
Finance tracking app MoneyCoach includes two interesting abilities powered by native models. First, the app displays insights about your expenditure, such as whether you paid more than normal on groceries for that specific week. The second feature automatically proposes categories and subcategories for a spending entry for rapid additions.
LookUp
The word learning app LookUp has introduced two fresh modes using Apple’s AI engines. There is a new learning style that harnesses a local engine to make examples linked to a term. Plus, the example requests users to describe the usage of the word in a sentence.
Tasks
Like a few other apps, the Tasks app implemented a function to recommend tags for an entry using native engines automatically. It is also using these engines to recognize a repeating task and schedule it properly. And the app enables users to speak a few things and use the native engine to divide them into separate tasks without using the internet.
Day One
Automattic-owned journaling app Day One is employing Apple’s engines to get highlights and suggest titles for your entry. The team has also added a function to generate prompts that push you to dig deeper and write more based on what you have already composed.
Crouton
Recipe app Crouton is using Apple Intelligence to recommend tags for a recipe and assign names to timers. It also employs AI to divide a block of text into easy-to-follow steps for cooking.
Signeasy
Digital signing app Signeasy is using Apple’s local engines to extract critical insights from a contract and provide customers with a summary of the document they are signing.
Dark Noise
Background sound app Dark Noise has applied Apple’s local engines to let customers describe a soundscape in a few words and produce one based on that. You can adjust the levels of distinct elements of the soundscape once it is generated.
Lights Out
Lights Out is the new app to track the F1 season and grand prix from Shihab Mehboob, developer of Twitter client Avery and Mastodon client Mammoth. The app uses on-device AI Model engines to condense commentary during a race.
Capture
Note-taking app Capture is using local AI to display category suggestions to customers as they type in their notes or assignments.
Lumy
Sun and weather tracking app Lumy now shows useful weather-related suggestions on the app using AI.
CardPointers
CardPointers is an app that assists you in tracking your credit card spending and gives ideas on the best method to gain points from the cards you possess. The app’s new release is using AI to allow users to ask questions about their cards and offers.
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Guitar Wiz
Guitar Wiz is a guitar learning app utilizing the Apple Foundation Model structure in a few ways. Users will see an explanation of a chord while mastering it. The app is showing advanced players’ insights based on time intervals. Plus, the AI engine is helping the creator support more than fifteen languages.