







Cooking up apps with AI? Serve them to your family and friends from your own computer, off the public internet. They just need Ovenlight on their phone.
An app can be a home-cooked meal
I made a messaging app for my family and my family only.

Replit: Make an app for that
Introducing Glaze: Create any app in minutes
Building an Android app in AI Studio
AI app builder for internal business apps | Glide
Build custom business apps & agents with AI from a spreadsheet or a prompt. Ready in minutes, not months. Start free.

Building AI apps? You need sync | Electric
AI apps are collaborative. Building them requires solving resumability, interruptibility, multi‑tab, multi‑device and multi‑user.

Open Minis — Your Private On-Device AI Agent
Open Minis is an on-device AI agent for iPhone, iPad, Mac, Vision Pro and Android. Browse the web, manage your schedule, control smart home, and automate tasks — all privately on your device.
Tiles on Atmosphere Apps
We make Tiles, a local-first private AI assistant. Powered by on device models and ATProto. Available in alpha for Macs.

Locally AI - Run AI models locally on your iPhone, iPad, and Mac.
Run Llama, Gemma, Qwen, DeepSeek, and more on your iPhone, iPad, and Mac. Optimized for Apple Silicon. Offline. Private.

The Web Is More Than Enough, by Paul Ford
Web browsers enable incredibly rich app development—and that’s radically easier than it used to be.

A BlueSky thread by GrapheneOS on Skyview
We strongly oppose the Unified Attestation initiative and call for app developers supporting privacy, security and freedom on mobile to avoid it. Companies selling phones should not be deciding which operating systems people are allowed to use for apps. uattest.net


We Melted iPhones for Science
OASIS generated real-time video with on-device AI. Four years later, Apple redesigned the iPhone so that AI won't burn your hand -- and admitted that we were right.

Play for On-device AI (beta) | Other Play guides | Android Developers
Play for On-device AI enables developers to efficiently distribute custom machine learning models via Android App Bundles and Google Play, offering various delivery modes and device targeting capabilities to optimize deployment on Android devices.
