Agentic instructions operate on the principle of intent-based automation, where users describe what they want to accomplish rather than how to accomplish it. This approach provides:
Natural Language Interface: Communicate goals in human terms
Adaptive Behavior: Agents adjust to interface changes automatically
Complex Reasoning: Agents can handle multi-step workflows autonomously
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# Agentic approach: intent-based controlwith VisionAgent() as agent: agent.act("Fill out the login form with username john.doe and submit it") agent.act("Navigate to the user profile settings") agent.act("Update the display preferences to dark mode")
The agentic approach works by defining boundaries and rules rather than specific steps. The agent follows these guidelines to accomplish tasks autonomously. This method is particularly effective for:
Complex Workflows: Multi-step processes with decision points
Error Recovery: Handling unexpected states gracefully
Cross-Platform Testing: Adapting to different device configurations