Where AI Consistently Fails
Every AI has blind spots. Explore ten categories of reliable failure, understand why they happen, and learn practical strategies to work around each one.
Failure Gallery
Click each card to reveal the AI-generated output, why it fails, and what to do instead. These are real categories of failure that occur reliably across all major AI models.
Root Cause Explainer
For each failure scenario below, select the root cause. After categorising all eight, we will reveal the correct answers, your score, and a strategy summary.
Key insight: Most AI failures trace back to just a few root causes. Once you learn to recognise them, you can predict when AI will struggle and proactively adjust your approach — whether that means verifying outputs, restructuring your prompt, or knowing when to rely on human judgement instead.