This document discusses the evolution of software testing and how artificial intelligence is being applied to improve testing. It provides examples of intelligent testing tools that use AI to reduce flaky tests, increase test coverage, prioritize test cases, and predict failures. Such tools apply techniques like machine learning algorithms, computer vision, and natural language processing to testing tasks. The document also compares several popular AI-based testing tools and their pricing structures.