Testlio blog

Most product teams today are very good at one thing: testing what happens when a user types a prompt.

Cyberweek 2025 demonstrated something unmistakable: the way customers shop, choose, and pay has changed permanently.

For a long time, we spoke about “AI agents” like they were a future concept, something that might eventually book flights, run workflows, or make payments on our behalf.

Accessibility and localization often seem like separate disciplines, each with its own set of guidelines and goals.

Over the past few years, model providers have invested heavily in “guardrails”: safety layers around large language models that detect risky content, block some harmful queries, and make systems harder to jailbreak.

AI testing careers are shifting in ways that most people in QA are not fully prepared for, and the changes are creating opportunities that did not exist even a few years ago.

AI systems change faster than traditional QA models can react, which means quality risks now emerge in real time rather than at release.

AI is evolving faster than the guardrails meant to validate it, leaving organizations exposed to compliance risk, model drift, opaque decision paths, and breakdowns in trust.

Solution combats AI hallucinations, bias, and privacy threats as early-adopter data shows 82% of AI bugs stem from misinformation and high-severity accuracy failures.