LLMs · in iOS app with AI
Claude for iOS app with AI
Product + plan in the iOS app with AI stack. Before you open Xcode, decide what you're building. Claude is the chat surface for the design/info-architecture/data-model conversation. Especially valuable on iOS where over-scoping is costly (every screen needs design polish to look native).
· 1 weeks ago
Where Claude fits in the workflow
- 1Sketch the app in Claude
Before any code: scope the screens, the data model, the privacy story (everything Apple cares about during review).
Prompt · iOS app scoping promptPlan a small, well-scoped iOS app for the idea below. Don't write Swift code yet. Idea: """ {{1-line product description}} """ Constraints: - Solo developer, weekend MVP, then iterate. - Native iOS only (SwiftUI). No cross-platform unless I push back. - Local-only data unless I ask for sync (privacy + review speed). - No 3rd-party SDKs that block App Store review (no obscure analytics, no SDKs that violate ATT). Output, in this order: 1. **Screens** (3 to 6 max for MVP) — name + 1-line purpose. 2. **Data model** — Swift types or SwiftData / Core Data schema, whichever is simpler. 3. **Permissions / capabilities** — exactly what entitlements you need and the App Store review reasons. 4. **App Store hooks** — name candidates (3), category, the 1-line subtitle, the "what's the screenshot story". 5. **Out of scope for v1** — 3 to 5 features I should NOT build before launch. Push back if the idea has obvious App Store rejection risks. - 5Submit for review
Use Claude to draft the App Store description, the privacy nutrition label answers, and the review-notes message. App Store rejections are usually metadata or privacy issues, not code.
Cost in this stack
Free tier
Of the $28/mo solo, 1 indie app budget
Tool pricing
$20/mo Pro · Sonnet API $3/$15 per M tokens (input/output)
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See the full iOS app with AI stack
Workflow, costs at three usage tiers, prompts, pitfalls.
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