A user shares a browser-based agent architecture that improves the performance of smaller local language models by restricting their view to dedicated "applications" or workflows with limited toolsets.
- The system replaces dozens of general tools with focused interfaces, such as a text-only web browser and a computer control app, each maintaining persistent state.
- This approach prevents smaller models from making errors in exact text like URLs by using simple verb-number navigation within the confined scope.
- Tests on Gemma 4 E4B showed better performance than Gemma 4 26B under this setup, as the larger model exhibited an aversion to dedicated planning tools.
- The agent retains full context when leaving these applications, allowing it to access a broader set of ~100 tools in a general mode.
The author suggests this architecture helps smaller models manage complex tasks by reducing context noise and tool overload.