Demonstration-Based Agent Training
At its core, Omniminds allows users to teach AI agents by simply doing — performing digital tasks on-screen as they normally would. Most AI platforms train their models using the same datasets scraped from the internet or developed by centralized teams. Omniminds uses real-human demonstrations to train AI agents in executing tasks. The platform captures:
Mouse movement, clicks, and keyboard input
Screen context and UI elements
Application navigation and timing
Task-level goals and intent
These demonstrations are then used to train agents capable of replicating the task autonomously, adapting to slight UI changes, and even transferring behavior across similar applications.
This model makes training intuitive, enabling anyone, regardless of technical skill, to contribute to agent intelligence.
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