AI can be wrong. That's well known. The problem is it's wrong with complete confidence — and no hint that something's off. The simple solution: cross-check. After getting an important answer from Claude, plug it into ChatGPT and ask: "Is this answer correct? What's missing from it? What might be wrong?" And vice versa. This works because each model was trained on different data, with different biases, and different strengths. What one misses — the other sometimes catches. Especially important for: - Factual information (dates, numbers, names) - Legal/financial/medical advice - Critical production code - Business decisions based on AI data Remember: two wrong AIs don't equal one right one. But two that agree — that's already much more reliable.