"My team ran 800 test cases. All passed. The AI still went off script."
If that sounds familiar or terrifying, this blog series is for you.
Something big is happening in software quality. And most test teams aren’t ready.
Why Traditional QA Is Hitting a Wall
Functional testing, regression packs, and well-written acceptance criteria have served us for decades. They helped us tame complex systems, reduce risk, and ship with confidence.
But now, the system is making decisions.
Not following workflows - but reasoning. Choosing. Adapting. Failing… in new ways.
We’ve entered the era of agentic AI systems:
- Goal-driven AI copilots
- Multi-agent systems that collaborate and evolve
- Software that behaves differently even when nothing’s changed
And that means one thing for QA teams:
Your old test strategy isn’t broken. But it’s obsolete.
What This Series Will Teach You
This isn’t another buzzword explainer. We assume you already know how to manage test teams, build regression plans, and ship high-stakes systems.
But if your team is starting to test AI features or getting asked to - you need new tools. This series will help you:
- Reframe your mental model of how software fails
- Learn how to test unpredictable behavior
- Rethink coverage, tooling, and KPIs
- Build test strategies for systems that don’t always behave the same way
- Understand how your role and team must evolve to stay relevant
What’s Coming (Blog Roadmap)
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Blog #
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Title
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What You’ll Learn
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1
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From Scripts to Systems
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Why traditional test cases no longer apply
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2
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What Can Go Wrong?
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The new risk landscape (hallucinations, misalignment, drift)
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3
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Rethinking Coverage
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Measuring behavior, not just code paths
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4
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Designing for Unpredictability
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Techniques for probing agentic systems
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5
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The Role of the Human
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When to embed Human-in-the-Loop testing
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6
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Tooling for the Unknown
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What your tech stack needs now
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7
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Strategy for Agentic QA
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How to build a QA plan that works
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8
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Evolving the Test Team
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Roles and skills that will matter next
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9
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When Tests Fail
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How to debug AI behavior
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10
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Compliance and Audit
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Building safety and traceability into testing
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Who Should Read This?
You lead or work on a test team. You know how to validate requirements, run regressions, and partner with devs. But now you’re being asked:
- “Can you test the chatbot’s behavior?”
- “How do we know it won’t do something weird in prod?”
- “What if it uses the wrong tool, or the memory’s corrupted?”
And you’re realizing… the scripts don’t help.
This series will.
You’re Not Alone
We wrote this series because we’re living it too - helping QA teams adapt, retool, and lead through this transition.
Agentic AI isn’t coming. It’s here.
But the good news is: QA still matters. More than ever.
We just have to evolve how we do it.
Let’s get started.
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