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Explained comic · 21 pages

Free by Design: Apple's iOS 27 AI Stack and the Zero-Cost Inference Frontier

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The source analyzes Apple's iOS 27 / WWDC26 AI developer stack, describing four inference paths (on-device System Language Model, Core AI, Private Cloud Compute, and vendor cloud) and how developers can push a large fraction of their inference bill to $0 marginal cost. It also covers specialized free system intelligence like Vision, Translation, and Writing Tools, plus one regression: the discontinuation of programmatic ImageCreator.

Page One
KEY IDEA

Most AI work can move off the paid cloud onto free Apple paths.

Key idea & notes ▾ WHY THIS MATTERS

Understanding the four paths lets developers cut inference bills without losing capability.

Page Two
KEY IDEA

Most cloud spend comes from calls that shouldn't be cloud calls.

Key idea & notes ▾ WHY THIS MATTERS

Recognizing waste is the first step to cutting an AI app's largest recurring expense.

Page Three
KEY IDEA

Know the four paths and their costs before designing anything.

Key idea & notes ▾ WHY THIS MATTERS

The whole cost strategy depends on matching each task to the right path.

Page Four
KEY IDEA

The on-device model is a free, always-available local worker.

Key idea & notes ▾ WHY THIS MATTERS

It replaces many paid cloud calls with zero-cost local ones.

Page Five
KEY IDEA

Tiny context makes it a worker, not the whole intelligence.

Key idea & notes ▾ WHY THIS MATTERS

Knowing the limit prevents designing tasks the local model can't hold.

Page Six
KEY IDEA

Bring your own models and run them free on-device.

Key idea & notes ▾ WHY THIS MATTERS

It gives developers control and cost-free specialized inference.

Page Seven
KEY IDEA

Core AI is an efficient purpose-built on-device inference runtime.

Key idea & notes ▾ WHY THIS MATTERS

These features let large specialized models run practically on a phone.

Page Eight
KEY IDEA

One common interface lets you swap underlying models freely.

Key idea & notes ▾ WHY THIS MATTERS

Shared orchestration avoids duplicate code for local and cloud models.

Page Nine
KEY IDEA

A session can adapt its model and tools on the fly.

Key idea & notes ▾ WHY THIS MATTERS

It supports escalation and specialization without breaking the conversation.

Page Ten
KEY IDEA

PCC adds reasoning and context, free for eligible small apps.

Key idea & notes ▾ WHY THIS MATTERS

It gives indie developers subsidized access to stronger cloud inference.

Page 11
KEY IDEA

Eligible indie apps get subsidized cloud reasoning at no cost.

Key idea & notes ▾ WHY THIS MATTERS

It lowers the barrier for small teams to ship capable AI features.

Page 12
KEY IDEA

Offload cheap calls locally to shrink the paid cloud bill.

Key idea & notes ▾ WHY THIS MATTERS

It reframes cost control as routing, not just picking a cheaper model.

Page 13
KEY IDEA

On-device translation eliminates a paid cloud service.

Key idea & notes ▾ WHY THIS MATTERS

Multilingual apps can drop another recurring cloud cost.

Page 14
KEY IDEA

Local OCR plus local model keeps documents on the phone for free.

Key idea & notes ▾ WHY THIS MATTERS

It cuts cost and improves privacy for document workflows.

Page 15
KEY IDEA

System-provided intelligence handles text and image tasks free.

Key idea & notes ▾ WHY THIS MATTERS

More common features can rely on built-in models instead of paid APIs.

Page 16
KEY IDEA

Programmatic Apple image generation is gone in iOS 27.

Key idea & notes ▾ WHY THIS MATTERS

Apps built on iOS 26 image APIs must migrate before public release.

Page 17
KEY IDEA

Match each task to its cheapest capable path.

Key idea & notes ▾ WHY THIS MATTERS

A clear routing table turns cost savings into a repeatable design rule.

Page 18
KEY IDEA

Escalate to paid models only as a final fallback.

Key idea & notes ▾ WHY THIS MATTERS

Layered escalation delivers capability while minimizing paid calls.

Page 19
KEY IDEA

Use the local model for narrow tasks, not world knowledge.

Key idea & notes ▾ WHY THIS MATTERS

Matching tasks to its strengths removes many paid calls safely.

Page 20
KEY IDEA

Ask which pipeline parts can become free, not how smart the model is.

Key idea & notes ▾ WHY THIS MATTERS

That question directs effort toward the largest achievable cost savings.

Page 21
KEY IDEA

Treat inference cost as routing, then measure, profile, and question the limits.

Key idea & notes ▾ WHY THIS MATTERS

It turns the comic's lesson into concrete engineering investigation and honest caveats.

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