Introduction
Initialize, plan, connect, and launch your AI Mobile Launcher app.
Build from one accepted plan
AI Mobile Launcher starts with one buyer-owned initialization workflow. It cleans the template identity, interviews you about the product and its growth loop, generates the canonical plan, records service setup honestly, and gates feature work on your acceptance. The implementation is available on the AI Pro and Standard development branches.
clean → interview → plan → accept → connect → build → launchThe initializer creates docs/PRODUCT.md, docs/FEATURES.md, docs/ROADMAP.md, docs/GROWTH.md, docs/KEYS.md, and docs/INIT-PLAN.md. Wire is the first growth workstream: activation, lifecycle events, the first onboarding experiment, the learning review, and the optimization backlog are planned before feature work begins.
A pending initialization is an editable development tree. It is not a native build, a verified service connection, or release proof.
Documentation Sections
Initialize the Boilerplate
Set up your development environment and get the boilerplate running on your machine.
Environment SetupEnvironment Setup
Configure your development environment
Start HereStart Here
Clone the project and follow the complete buyer workflow
Initialize Your ProjectInitialize Your Project
Clean identity, answer the interview, and review the generated plan
Tool IntegrationTool Integration
Record MCP, manual, later, or skip choices without inventing a connection
First CustomizationFirst Customization
Setup app icon and splash screen
Launch GuideLaunch Guide
Configure the environment, prebuild, and run a native development build
Wire GrowthWire Growth
Connect onboarding, lifecycle measurement, and the first learning loop
Recovery and deeper guides
The initializer is the canonical path. Use these guides when an existing project needs one artifact repaired or you want to inspect the underlying system.
Launch with AILaunch with AI
Recover or refine individual U-AMOS artifacts
Create Your First FeatureCreate Your First Feature
Build a complete feature using AI assistance
MCP ServersMCP Servers
Understand optional MCP connections and their security boundary
Learning & Tutorials
Deep dive into the boilerplate architecture and deployment.