The core idea
Quiet failure is when the model returns a clean-looking answer that should not be trusted. No crash. No error. Just a wrong result with good grammar.
Your job is to catch these cases before the user acts on them.
What it looks like
Quiet failures are common in student projects because demos often test only happy paths. A model may invent a deadline, skip a required field, ignore a budget, or sound sure without proof.
For an internship-ready project, show that you checked more than whether the API returned text.