A breakdown of what "AI controls your phone" actually requires at an engineering level: an observation path, a separate execution path, grounding between intent and a specific on-screen control, an authorization check, and verification of a real postcondition.

The article covers the system-type comparison (conversational assistant, scripted automation, app integration, smartphone-controlling agent, physical AI agent) and why those categories overlap far more than product labels suggest. It compares the four observation methods and their specific blind spots, then breaks down Android's control facilities (Accessibility services, MediaProjection, UI Automator, ADB, Intents) against iPhone's (App Intents/Shortcuts, XCTest/XCUIAutomation, AssistiveTouch), including the often-missed distinction between API capability and Google Play distribution policy.

Also covers the four-part failure-mode framework, prompt injection via screen content as task data rather than authorization, the vocabulary of human control (pause/stop/redirect/confirm/hand back), and an evaluation approach based on verified outcomes rather than demonstrations. Grounded in AppAgent and the AndroidWorld benchmark, with honest framing that dev-board descriptions aren't production capability claims.

Full article: aidenai.io/blog/how-ai-agents-control-smartphones

Firmware: github.com/AidenAI-IO/aiden-firmware