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This section contains practical how-to guides for building AI agents with AskUI. These guides focus on the core product capabilities: element selection and data extraction.

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What You’ll Learn

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Element Selection

  • How to select UI elements using natural language
  • Working with locators for precise element targeting
  • Using relative positioning to find elements
  • Handling multiple similar elements

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Data Extraction (Get Questions)

  • Extracting yes/no answers from the UI
  • Getting text content from specific elements
  • Extracting structured data from tables
  • Working with sidebars, tabs, and cards
  • Retrieving numeric values

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Prerequisites

Before starting these guides, make sure you have:
  • AskUI Python SDK installed (pip install askui)
  • Basic understanding of Python
  • Access to AskUI workspace and credentials

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Quick Start

from askui import VisionAgent

# Initialize your agent
with VisionAgent() as agent:
    # Your first element interaction
    agent.click("Login button")
    
    # Your first data extraction
    is_loaded = agent.get("Is the page fully loaded?", response_schema=bool)

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Guide Structure

Each guide in this section follows a practical approach:
  1. What you’ll build - Clear objective
  2. Code examples - Ready-to-use snippets
  3. Common patterns - Reusable solutions
  4. Troubleshooting - Solutions to common issues
Choose a guide from the navigation to get started building your AI agent.

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API Reference

For detailed information about method parameters, return types, and advanced usage: