AI agents for testers: Practical masterclass using the 5W1H Framework
Details
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Agentic AI is rapidly entering software testing conversations, but most discussions stop at tooling demos or surface-level explanations.
This masterclass aims to take a fundamentally different approach.
We won’t discuss what tools exist out there.
We will answer the question: “How should testers think about AI agents, choose the right level of autonomy, and apply them responsibly to real testing work?”
Using a practical 5W1H framework (What, Why, When, Where, Who, How), this webinar breaks down AI agents in testing from first principles.
We will cover:
- What AI agents mean for testing and testers
- How do they work internally?
- Why testers should care
- When to use each level of agent
- Where agents fit in daily testing loops
- Who provides agents at different level
You will learn:
- How AI agents actually fit into testing work.
- How to choose the right type of agent for the right task.
- When autonomy helps and where it causes damage.
👉Post your questions in this thread — Rahul will answer them first during the Q&A.
Related topics
AI/ML
Artificial Intelligence
QA Tools and Practices
Quality Assurance
Context Driven Testing
