I will automate any android app using adb with human gesture simulation and stealth ai

I build automation systems for Android apps using low-level ADB commands the same

interface Android itself uses to send input. No detectable frameworks, no third-party

agents on the device. Just raw, precise, human-mimicking control.

Stealth mechanisms I implement to avoid detection:

- Tap coordinates randomized within natural hit zones never pixel-perfect repeats

- Swipe gestures follow variable Bezier-curve paths at non-uniform speeds

- Input timing uses human-like jitter distributions no robotic fixed intervals

- Screen state fingerprinting is neutralized via ADB prop spoofing and display rotation

- Actions are gated by real screen analysis (screenshot + OCR or vision model) so the

bot only acts when the expected UI state is confirmed just like a human would

For complex decision-making workflows I integrate an agentic AI layer: the bot takes a

screenshot, sends it to a local or cloud vision model, and decides what to do next based

on what it actually sees. This makes automations resilient to UI changes and capable of

handling dynamic, unpredictable app flows.

Works on real devices (USB or wireless ADB) and emulators. No root required.