How DoesQA avoids AI hallucinations

How DoesQA avoids AI hallucinations

People hear "AI" and could assume a green Result is a "vibe". Any product that works like that would be bad and potentially dangerous.

DoesQA was built so testing works without AI. Pass and fail come from real browsers, stored Selectors, and shared Steps. DoesQA AI makes authoring and triage faster. It does not replace that execution model. You can turn Automation Intelligence off any time. Flows, Elements, Runs, and Results still work.

The useful question is not "does DoesQA use AI?" It is "where is AI allowed to invent, and where is it not?"

Two jobs, two standards

DoesQA uses AI in two very different ways.

Authoring is where invention helps. Propose what a good Test might look like, and our Automation Intelligence creates it, runs it, scores it and either keeps it or throws it away to try again. A draft that fails verification never becomes trusted coverage. Hallucination here is a starting point, but never the result.

Summaries are the opposite. When a Test Run fails, the summary should explain the failure in front of you. It should not invent a root cause, and it must not rewrite pass or fail. This is done primarily through pattern matching and difference analysis against recent Runs.

AI can invent a candidate Test. It does not invent whether the suite passed.

AI doesn't need to be an expert on your product

DoesQA Automation Intelligence learns over time. It identifies what you are testing and adjusts to closer align to the product you are building. What would be a pass on a shopping website can be a fail on a CRM.

That still does not mean DoesQA Automation Intelligence pretends to be an oracle about your app or requirements. Strong pattern recognition and difference analysis across many different apps is often more than enough.

A simple example: You have a pack of about 1,000 Tests. It was green. Suddenly 83 fail. A person opens failures one by one. That could take the best part of a day or at least a couple of hours before someone sees the shared story.

DoesQA can look at those 83 together against their recent Runs and surface the common change: one Element used across several pages subtly changed, causing a cascade. The next step is clear. Update that shared Element once, or raise a ticket if the change was not intentional.

Hours of triage become seconds, and a messy, dangerous find-and-replace becomes a single centralised change.

What still decides green and red

When a Test Case runs, DoesQA executes the Steps you configured. Automatic waiting, fixed Selectors, and tried and tested Steps are the same platform story as Maintenance and reliability. Generative AI is not what decides those outcomes.

The one intentional exception is AI Vision. That Step uses AI to judge a visual expectation, so it can affect pass or fail when you add it. Use it when a plain-language visual Check is the right tool. Keep other Checks on ordinary Steps when you want a fully non-AI path.

Helpers stay helpers:

• Test and Run summaries explain failures so you can act faster.

• Automatic Elements turn a Description into a Selector as a starting point. The stored Selector is what Runs use. People stay in the loop when Selectors change.

• Suggestions and the Assistant speed planning and questions. They do not rewrite Run results.

• CLI and MCP agents can draft and update work.

Trust you can turn off

DoesQA AI stays inside DoesQA, hosted in the UK. Nothing leaves the DoesQA ecosystem for DoesQA AI. Learning is optional.

If your policy is "no AI in the loop," turn Automation Intelligence off. You still get quality assurance: journeys, Runs, Results you can ship against.

DoesQA AI is the longer product page. Playwright is flaky, but don't take our word for it is the other half of trust: Results only matter if they stay true.

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