I'm starting a new project. It's the most ambitious thing I've attempted from a phone.
The goal: an AI agent that controls a smartphone. It opens apps, navigates screens, taps buttons, types text, and completes multi-step tasks. All offline. All local. No cloud.
This is Day 1 of a public build log. No fluff. Just what I'm building, how it works, and what breaks along the way.
What I'm Building
An autonomous AI agent that runs entirely on an Android phone. You give it a command in plain English:
· "Open WhatsApp and message Mom I'll call later."
· "Search for Kotlin jobs on Wellfound."
· "Open my notes and summarize what I wrote yesterday."
The agent parses the command, plans the steps, and executes them—opening apps, finding the right buttons, typing text, hitting send. No cloud. No API keys. Just a phone that acts on your behalf.
The Stack
Component Tool
AI Brain Gemma 4 E4B (local, via Ollama)
Runtime Termux (Linux on Android)
Phone Control ADB + UI Automator
Orchestration Python
Why This Matters
Most AI agents live in the cloud. They need internet, APIs, and someone else's server. A local agent that runs on a phone means:
· Privacy: your data never leaves your device.
· Offline: works even without internet.
· Accessible: built for the device billions of people already own.
The Hard Parts I Already See
· The agent needs to "see" the screen to know where to tap. Text detection is doable. Image-based buttons are harder.
· Multi-step tasks need verification. If one tap misses, the whole chain fails.
· Android permissions. ADB requires developer mode. A user-facing version would need a workaround.
What's Next
· Day 2: Create the repo. Set up the project structure. Push the first working script.
· Day 3: Get screen text detection working with OCR.
· Day 4: Test a full 3-step task.
This is Day 1. The repo goes live tomorrow. Follow along if you want to see something rare get built from scratch.
Top comments (0)