Amazon Nova Act: AI Browser Automation with 90 Percent Reliability

Amazon Nova Act: AI Browser Automation with 90% Reliability

Web automation has always been fragile. Selenium scripts break with every UI change. Amazon Nova Act changes this—it’s an AI model specifically trained to interact with web browsers reliably. Announced at re:Invent 2025, it’s designed for enterprise automation.

What Nova Act Can Do

Task Type Examples
Form Filling Complete applications, registrations, surveys
Search & Extract Find information across websites, compile data
Shopping & Booking Compare prices, book appointments, purchase
QA Testing Automated UI testing without brittle selectors

Why Nova Act is Different

Traditional Automation Problems:

  • Breaks when CSS classes change
  • Can’t handle dynamic content
  • Requires constant maintenance
  • Fails on new page layouts

Nova Act Advantages:

  • Understands page semantically, not by selectors
  • Adapts to UI changes automatically
  • 90%+ reliability on enterprise sites
  • Natural language task descriptions

Example: Automated Expense Report

from nova_act import BrowserAgent

agent = BrowserAgent(model='amazon.nova-act-v1')

# Natural language task description
result = agent.execute(
    task="""
    Go to expenses.company.com
    Login with SSO
    Create a new expense report titled 'Q1 Travel'
    Add the following expenses from my receipts folder:
    - Delta flight $450
    - Marriott hotel $380
    - Uber rides $85
    Submit for approval
    """,
    receipts_folder='/path/to/receipts'
)

print(f"Expense report submitted: {result.confirmation_number}")

QA Testing Use Case

# Instead of brittle Selenium tests:
driver.find_element(By.CSS_SELECTOR, "#login-btn").click()

# Nova Act understands intent:
agent.execute("""
    Navigate to staging.myapp.com
    Log in as test user
    Go to Settings
    Change the email notification preference to 'Daily digest'
    Verify the change was saved
    Take a screenshot of the confirmation
""")

Enterprise Integration

Nova Act integrates with existing automation workflows:

  • Step Functions for orchestration
  • EventBridge for scheduling
  • S3 for storing screenshots and artifacts
  • CloudWatch for monitoring and alerts

This is the future of browser automation—AI that understands web pages like humans do.

Marcus Chen

Marcus Chen

Author & Expert

Marcus is a defense and aerospace journalist covering military aviation, fighter aircraft, and defense technology. Former defense industry analyst with expertise in tactical aviation systems and next-generation aircraft programs.

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