System26 started as a simple question for us: What actually becomes possible when Apple’s new on-device AI shows up across iPhone, iPad, Mac, and Vision Pro? Not in a keynote. In a real app. In our hands.
So we built a playground. Not a polished consumer product. Not a stealth startup. Just a fast, opinionated demo that lets us (and our clients) feel what’s now possible with:
- An on-device large language model
- On-device image diffusion (text-to-image generation)
- Visual intelligence: camera-powered understanding of faces, bodies, and objects
And we did it the way we build for clients: small team, AI-accelerated workflow, human judgment at the center.
What System26 Actually Is
System26 is a native playground app that runs on iOS, iPadOS, macOS, and visionOS from one shared codebase.
Think of it as a “show, don’t tell” lab for Apple’s new on-device intelligence stack. Apple’s own models now power experiences like Writing Tools for rewriting and summarizing text, image generation via Image Playground, and smarter, context-aware actions across apps. With the Foundation Models framework, those same on-device models are now available to developers as building blocks for offline, privacy-preserving features — with no per-call inference cost.
System26 pulls those ingredients into one place so we can demo three things live, on your device:
1. On-device Language
In the app, the local LLM can:
- Rewrite and clean up text
- Summarize content
- Help with small, focused tasks
All without sending data to a server.
This matches where on-device LLMs shine in the real world: short, private, low-latency tasks like smart replies, summarization, and UI “helpers” that run directly on phones and laptops.
2. On-device Image Diffusion
System26 can generate images from text prompts locally. No upload. No round-trip to a cloud model.
This is the same class of tech behind modern mobile text-to-image systems, where optimized diffusion models can create visuals on-device in under a few seconds.
For a product team, that’s the difference between “tap and wait” and “tap and feel it happen.”
3. Visual Intelligence From the Camera
The app also uses Apple’s visual intelligence stack to:
- Track faces and body pose in real time
- Recognize objects in the scene
- Power translation-style experiences via the camera
This mirrors where pose estimation and object recognition are already being used today — from form-checking fitness apps and physical therapy tools to sports training and real-time motion analysis.
System26 isn’t meant to be “the product.” It’s the conversation starter. A way for us to sit with you, open the app, and say: “Okay. Now imagine this inside your business.”
Why On-Device AI Matters for Your Product
You don’t need a playground app. You need outcomes: speed, privacy, cost control, better customer experiences.
Here’s how the same building blocks we used in System26 translate into real-world wins.
On-Device LLMs: Instant Intelligence Where Connectivity Is Fragile
On-device LLMs run directly on hardware — phone, tablet, laptop — instead of in the cloud. That means:
- Speed: responses in milliseconds, not seconds
- Privacy: sensitive text never leaves the device
- Resilience: your app keeps working in planes, warehouses, or store backrooms
In practice, we’re seeing (and shipping) patterns like:
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Field tools that can’t depend on Wi-Fi — Inspectors, technicians, sales reps: summarize notes, generate visit reports, or translate key phrases offline while standing in front of the equipment, not back at a desk.
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Customer-facing flows that feel personal, not creepy — Local models suggest copy, rewrite messages, or summarize long threads without streaming customer data to a third party — especially important in regulated industries.
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“Quiet” intelligence around your existing UI — Think Apple’s Writing Tools, which can summarize or rewrite text inline, or notification summaries that cut through the noise. Your app can do something similar: turn complex status pages into one clear sentence, or auto-draft human-sounding responses for your team to approve.
On-Device Image Diffusion: Visual Creativity Without the Wait
Text-to-image models are no longer just cloud services. Research like MobileDiffusion and production apps from companies like Adobe show how fast, on-device image generation is becoming part of everyday creative tools.
Patterns we’re excited about with clients:
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Retail & e-commerce — Instantly generate on-brand banner concepts, promo variations, or simple lifestyle mockups directly in a merchant or marketing app — without exporting assets to another tool.
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In-store experiences — Help associates create quick signage, recommendations, or inspiration boards with a prompt, right from a tablet on the floor.
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User creativity without heavy infrastructure — Let your customers create avatars, stickers, or lightweight AR elements — all rendered locally — instead of relying on a GPU-heavy backend.
Visual Intelligence: Your Camera as a Real-Time Sensor
Computer vision is already transforming industries like fitness, healthcare, and retail by turning raw video into actionable insight.
With on-device models, that intelligence can move directly into your app:
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Fitness & coaching — Pose estimation to give instant feedback on form, reps, or alignment — without ever uploading video of someone’s body to the cloud.
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Retail & inventory — Shelf-scanning tools that run on a phone or tablet camera to detect stock-outs or misplaced items, instead of relying solely on fixed ceiling cameras and heavy infrastructure.
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Try-before-you-buy experiences — Virtual try-on for fashion, cosmetics, or accessories using pose estimation and face tracking — a pattern already driving conversion lifts in fashion and beauty.
System26 doesn’t do all of these things out of the box. But it lets you feel the underlying capabilities: real-time tracking, instant responses, offline behavior. From there, it becomes much easier to imagine the version that belongs inside your product.
Built in ~16 Hours: What AI-Accelerated Development Actually Looks Like
We talk a lot about shipping faster with AI. System26 is one of the cleanest examples.
Roughly speaking:
- A few focused hours to define behavior, flows, and visual direction
- One AI-assisted coding sprint to generate the first working prototype
- The initial version — with the on-device LLM feature — came together in about 20 minutes once the specs were in place
- Another set of passes to layer in image diffusion and visual intelligence
- A mid-way refactor to lean fully into Apple’s liquid-glass UI patterns
- A couple of hours to localize the app into 10 languages using AI-assisted translation
All told, around 16 hours of build time plus localization — spread over what, in another era, would have easily been a multi-week effort.
The key is not “AI built this for us.”
The key is:
- We were precise about what we wanted
- We used AI as a fast, tireless developer assistant
- We kept human judgment on architecture, UX, and quality
AI accelerated the work. It didn’t replace it. That’s exactly how we build for clients: tools in service of expertise, not the other way around.
What This Unlocks for You
System26 exists for one reason: to make the conversation about on-device AI concrete.
When we sit down with your team, we don’t have to hand-wave about “Apple Intelligence” or “edge models.” We can:
- Open the app on an iPhone or Vision Pro
- Show you offline language, image, and vision features working in real time
- Map those same capabilities directly onto your customer journeys and internal workflows
From there, we can quickly answer questions like:
- Where does on-device AI really move the needle for you — speed, privacy, cost, or experience?
- Which use cases should stay in the cloud, and which could run locally for near-zero marginal cost?
- How do we design something useful, humane, and trustworthy — not just “AI-powered” on a slide?
Ready to See What This Looks Like in Your World?
If you’re curious about:
- Bringing Apple’s on-device intelligence into your product
- Using AI to shorten build cycles from months to days
- Designing experiences that feel fast, private, and human-first
We’d love to show you System26 live, then sketch the version that belongs inside your business.
Let’s build something that actually moves the needle — and feels good to use.
