📅 Updated: June 2025
How can QA teams use AskUI's Vision Agent for more stable and intelligent automation?
AskUI's Vision Agent is transforming test automation by letting teams write natural language instructions that simulate real user interactions across platforms (Windows, macOS, Linux, Android, iOS). Its core command, act(), enables automated clicking, typing, and navigation. For QA managers, test engineers, or automation leads looking to reduce flaky tests and increase reliability, here are 5 expert-level strategies to unlock its full potential.
1. Why Should You Use "simulate" with the act() Command?
The simulate keyword ensures your automation mimics real human behavior, making it more stable and accurate, especially in dynamic UI environments.
Example:
agent.act("simulate a user clicking into the textfield and typing username: xyz and password: 123456")Takeaway:
- Prevents timing-related test failures
- Improves accuracy by replicating real input behavior
2. How Can You Add Conditional Logic for Context Awareness?
Incorporating if statements into your prompts allows the agent to respond intelligently to UI state. Only proceed when conditions are met—like empty fields or unchanged screens.
Example:
agent.act("Click on Login button, if the screen does not change then that probably means you forgot to enter username: xyz and password: 123456")Takeaway:
- Prevents errors caused by missing inputs
- Adds robustness to regression and end-to-end tests
3. How Do You Write Multi-Step Workflows for Clarity and Debugging?
Break complex actions into sequential steps to improve readability, debugging, and test reliability.
Example:
agent.act("""
Simulate a user doing the following actions:1.
Click on the Textfield below text username2.
Type in username: xyz3.
Click on the Textfield below text password4.
Type in password: 1234565.
Click on the Login button""")
Takeaway:
- Easier to debug and maintain
- Ideal for form submissions, login flows, or guided tasks
4. Why Add Verification Steps to Avoid Ambiguous States?
Adding verification conditions (like checking if a field is empty) ensures the automation reacts only under expected conditions, preventing overwrite or misfires.
Example:
agent.act("""Simulate a user doing the following actions:1.
Click on the Textfield below text username2.
Type in username: xyz3.
Click on the Textfield below text password4.
Type in password: 1234565.
Click on the Login button
Only proceed if the search bar is empty.""")Takeaway:
- Enhances decision-making based on live UI context
- Especially useful in mobile or cross-platform scenarios
5. How Can You Add Redundancy Using Multiple Methods?
Some environments behave differently. Use multiple strategies (keyboard, mouse, command combos) to ensure compatibility across devices and platforms.
Examples:
# Approach 1: Delete using backspace
agent.act("Simulate deleting the text 'xyz' by pressing backspace")
# Approach 2: Delete using right-click and delete option
agent.act("Simulate deleting the text 'xyz' by right-clicking and pressing delete")
# Approach 3: Delete using cmd+a and backspace
agent.act("Simulate deleting the text 'xyz' by pressing command + a, and then pressing backspace")Takeaway:
- Boosts resilience across browsers, OS types, or screen readers
- Recommended for cross-device testing environments
Summary: Why These Tips Work
Each of these 5 techniques improves automation quality:
- Stability: Mimics real user actions with "simulate"
- Context Awareness: Avoids failure with conditional logic
- Clarity: Step-by-step actions reduce test flakiness
- Precision: Verification ensures correctness
- Flexibility: Multi-method redundancy guarantees compatibility
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