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Pebble Mind
Pebble Mind

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Private AI on iPhone: what local-first actually means

If you have used a hosted AI service, “local AI” can sound more complicated than it needs to be. The basic idea is simple: a supported model runs on your device, so the main conversation does not need to begin with a hosted account or API key.

I’m part of the team behind Pebble Mind, a free-to-start iPhone and iPad app built around that workflow. This post explains the product boundary in plain language and what a first version can do today.

A local-first workflow

Pebble Mind lets you choose supported Apple and GGUF models, review model details and device-readiness information before downloading, and start a focused chat on the device. The app includes streaming replies, Markdown, conversation history and local search, storage management, and supported attachments.

The local workflow does not require an account or API key. Chats, prompts, responses, attachments, downloaded models, and preferences are kept on-device according to the app’s privacy description.

Web search is a separate choice

Local inference and web search are different actions. If you enable web search, the query goes to the configured search service so the app can retrieve current information and show sources. If you leave it off, the local chat workflow stays local. The boundary is visible and deliberate rather than hidden behind a single “AI” button.

Designed for people who are not model experts

You do not need to start by learning quantization formats or memory terminology. Pick a supported model, check whether it fits your device, let it prepare, and try a small task:

  • Summarize a note in five bullets.
  • Rewrite a message to sound warmer.
  • Explain a paragraph in plain language.
  • Brainstorm a checklist or first draft.

For developers and experienced local-model users, the one-time Pro unlock adds custom model importing, expanded model management, advanced generation controls, configurable search domains, local data transfer, searchable logs, and context compaction.

Large models can use substantial storage, memory, battery, and heat. AI responses can also be inaccurate, so important information should be checked independently.

Pebble Mind is an official product of our team, and this is a product announcement rather than an independent review. The app is available on the App Store: https://apps.apple.com/us/app/pebble-mind/id6799536766

The public overview and screenshots are here: https://aditigosar235.github.io/pebblemindai/press.html

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