TypeFlow
AI in every app, right where you type
What it does
TypeFlow puts an AI command layer inside every app on your iPhone and Mac. Type or speak what you need and the draft lands in the field you're already in. On iPhone it's a keyboard: switch to it in any app and the response is typed straight into the field. On Mac, press ⌥Space and a card opens at your cursor, reading the screen for context automatically. Also included: dictation with AI cleanup, and snippets that fire from any field.
AI in every app, right where you type. TypeFlow brings AI drafting to every iOS and Mac app — tap the keyboard key or press ⌥Space to get LLM output inserted right in the field.
Draft replies, messages, and emails directly in the field — on your iPhone or Mac. No copy-paste. No switching apps. No configuration. No prompts to engineer. Just install and type. Get it on the App Store or download for Mac. Enable the TypeFlow keyboard in iPhone Settings, or let it run quietly in your Mac menu bar. On iPhone, tap the TypeFlow key and describe what you need. On Mac, press ⌥Space from any app — tap to type, hold to dictate. Draft a reply, write a follow-up, summarize a thread. The draft lands right in the field you were typing in. No clipboard, no switching apps. Works in every app on both platforms. TypeFlow lives in your iPhone keyboard — available in every app, the…from gettypeflow.app
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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