(Why good metrics prevent silent failures)

1️⃣ First truth: AI can fail silently

AI often fails quietly.

• No crash
• No error message
• Output looks confident

But the answer can still be:

• Wrong
• Misleading
• Harmful

PM lesson:

If you don’t measure AI properly, you won’t know it’s failing.

2️⃣ Why “accuracy” alone is dangerous

Accuracy sounds good.

But accuracy can lie.

Example:

• 95% accuracy
• But the 5% wrong cases hurt users badly