Docket

Docket is an AI-powered platform designed to automate QA testing for web applications. It allows teams to create, run, and manage tests using natural language, eliminating the need for coding.

Key Features:

• AI Agents for Web Testing: Utilizes AI to automate testing processes.
• Natural Language Testing: Enables users to test applications using plain English, without requiring coding.
• Intelligent Stability: Interacts visually with applications using a real browser, adapting to UI updates and eliminating reliance on DOM selectors, XPaths, or Playwright scripts.
• Easy to Maintain: Adapts tests to UI changes, suggests new tests for evolving features, and continuously flags real bugs.
• Vision-based AI: Understands the application visually and semantically, similar to a human.
• Automated Test Execution: Handles the execution of tests.
• Actionable Reports: Generates reports that provide insights into test results.

Use Cases:

• Automating QA testing for web applications.
• Creating and managing test suites without coding.
• Detecting various types of bugs, including broken flows, payment errors, authentication problems, and unexpected behaviors.
• Empowering any team member to create tests using natural language.

Benefits:

• Saves Time: Empowers team members to create tests quickly using natural language, makes tests resilient, slashes maintenance through automatic updates, and handles test execution and reporting.
• No Coding Required: Simplifies test creation and management for non-developers.
• Resilient Tests: AI makes tests resilient to UI changes, reducing maintenance effort.
• Continuous Bug Flagging: Automatically flags real bugs as they occur.
• Comprehensive Bug Detection: Catches issues that impact users, categorizing them by severity.
• Simplified Onboarding: Provides guided onboarding and initial test suite building by the Docket team.

• Automates QA testing for web applications
• Creates test cases using natural language input
• Runs and manages tests for web applications
• Interacts visually with applications, mimicking user behavior
• Adapts tests to UI updates, ensuring test resilience
• Suggests new tests for evolving features
• Continuously flags real bugs
• Understands applications visually and semantically, including objectives and test criteria
• Detects user-facing issues such as broken flows, payment errors, authentication problems, and unexpected behaviors
• Categorizes issues by severity, from critical failures to minor bugs
• Generates actionable reports
• Empowers team members to create tests without coding
• Reduces maintenance efforts by automatically suggesting smart updates for tests