Local AI Agent: Desktop Automation via Vision, Translation, and Actions

[TaylonMcFly]

Do we have a GUI with these qualities?

[xXMrNidaXx]

This is a great project direction! Desktop automation via vision is becoming increasingly practical. At RevolutionAI (https://revolutionai.io), we have been exploring similar patterns for enterprise use cases.

Key considerations:

1. Latency management — Vision models can be slow. Pre-cache common UI element detections.

2. Error recovery — UI state changes unexpectedly. Build in verification loops:

def click_with_verify(element):
    click(element)
    # Verify expected state change
    if not verify_state_change():
        retry_or_recover()

3. Security boundaries — Desktop automation has high blast radius. Implement:

   • Action allowlists
   • Sensitive area detection (password fields)
   • Confirmation prompts for irreversible actions

4. Hybrid approach — Use native APIs where available, fall back to vision. Faster and more reliable.

Question: Are you using a specific vision model for UI element detection? GPT-4V, Claude, or something specialized?