Artificial intelligence automatic test selection

A non-transitory computer storage medium that stores executable program instructions that, when executed by one or more computing devices, configure the one or more computing devices to perform operations comprising:

• vectorizing, with a text-to-vector embedder, a plurality of test cases;
• providing the vectorized test cases to a large language model;
• issuing a first prompt to the large language model to generate a summary of each vectorized test case, each summary comprising data embedded in a plurality of test case fields of each test case, the first prompt comprising a first prompt configuration file, comprising a selection of models, model performance parameters, and a method of finding test case summary;
• storing the test case summaries in a test case summary database;
• at runtime, receiving a request to generate a selection of test cases for a ticket;
• receiving ticket data, comprising ticket fields and ticket keywords;
• providing the ticket data to the large language model;
• issuing a second prompt to the large language model, the second prompt comprising a second prompt configuration file, comprising a selection of models, model performance parameters, and a method of finding ticket summary;
• the large language model, providing a ticket summary;
• semantically searching the ticket summary against the test case summary database returning matched test cases;
• executing the matched test cases;
• and
• displaying the matched test cases with their respective test result indicators.