Article Series: “100 LLM Applications that have earned over $500,000”
Designing and maintaining end-to-end tests in software applications is as necessary as it is arduous. Any change in the user interface can break the test suite, making the maintenance of the testing system more costly than the value it provides. As a software application evolves, keeping its test suite up-to-date becomes an increasingly complex and tedious task. What if we left this task in the hands of an Artificial Intelligence Agent?
Note.The series of articles “100 LLM Applications that have earned over $500,000” is based on the contents of the book “100 IA Startups“. The book includes the identifying data of each of these real cases.
The Artificial Intelligence Agent of ACME has burst onto the software development scene to allow the implementation and maintenance of E2E (End-to-End) tests through simple natural language instructions.
The Artificial Intelligence Agent of ACME smartly executes user interface paths, reducing inconsistencies and saving engineering and quality teams time.
Problem.
Designing and maintaining E2E tests is a daunting task. Any change in the user interface can break the test suite, making the test system’s maintenance more costly than its provided value.
As a software application evolves, keeping its test suite up to date becomes an increasingly complex and tedious task.
Solution.
The Artificial Intelligence Agent of ACME revolutionizes the way E2E testing is managed. Instead of dealing with hundreds of lines of code or designing user interface flows manually, with the AI Agent of ACME, it’s possible to write a single command to create a new automated test for the user interface.
Moreover, when tests fail due to updates in the UI, the AI Agent automatically suggests an updated script, making it easier to monitor the tests’ state.
Among the Artificial Intelligence Agent of ACME’s main features include:
– Use natural language to create new agents or deploy existing ones.
– Connect session repetitions so your agents can learn from the true user interface paths.
– Automatic test agent deployment. Execute tests smartly based on what code has changed, saving time and resources.
The identifying data of this real case are included in the book “100 IA Startups“. For each of the 100 startups analyzed, it details:
- Problem solved.
- Proposed solution.
- Technical analysis.
- Identifying data of the company, its website, and its founders.
The startup presented in the article uses an LLM Application to solve the described problem. If you are interested in learning more about LLM Applications or Artificial Intelligence applied to the company, here are some interesting links:
- Courses and Bootcamps to learn to create LLM Applications.
- Development of LLM Applications for your company.
- Development of LLM Applications for a new startup.
- Artificial Intelligence consulting for businesses.
- In-Company custom Artificial Intelligence training.
- Selection of Artificial Intelligence professionals, LLM Applications, Machine Learning, and Data Science for businesses.
- Experimental projects of LLM Applications: contact between entrepreneurs and junior developers.
- We are looking for entrepreneurs interested in creating startups based on LLM Applications. We provide technical assistance and monitoring.
- We are looking for collaborators: Do you work in a training center, a consultancy/advisory service, or in a support center for entrepreneurs? We are interested in talking to you.