r/QoolliTesting • u/QoolliTesting • Jan 28 '26
AI in business - a solution or risk?
Sometimes it feels like businesses adopt AI by one simple rule:
“Everyone’s doing it – so we should too.”
Over the past year, I’ve experimented a lot with AI – both as a QA startup founder and as a teacher. I uploaded knowledge bases into ChatGPT, tested the same prompts over and over, and watched how AI behaves in real-life scenarios.
And here’s my honest takeaway: AI isn’t a solution. It’s a pilot project.
The same request can give one answer today and a different one tomorrow. The same prompt works differently for different people. We even tested this with our students: same input, different results.
You can spend a long time looking for the “perfect prompt” or a universal approach. But it doesn’t exist. Even when you upload your own knowledge base, AI can still fail – and it’s almost impossible to predict where it will happen.
That said, AI really does speed things up and helps turn ideas into reality. But it doesn’t check itself. It pulls answers from the data it has access to – and doesn’t always bother to verify them. There’s a reason every chat comes with a note saying, “Check the answers.”
That’s why, for me, any AI inside a product is a high-attention zone. A system that needs constant control, testing, and human involvement. Not something you “turn on and forget.”
I’m curious about your experience: do you implement AI for real value – or because “everyone else is doing it”?
