How to integrate neural networks into a tester's workflow

▤ Summary

This article explains how test engineers can use AI tools like ChatGPT and Claude to speed up day-to-day QA work. It outlines practical use cases such as generating test plans, acceptance criteria, API test scenarios, and UI-related checks. It also compares how different prompts and input formats affect the quality of outputs for tasks like creating checklist drafts or analyzing requirements. The piece positions AI as a productivity aid that helps testers cover more cases faster and with less manual effort.

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