• Definition: users make the app do things it wasn't built for. LLMs are instruction-followers, so without careful design any capable model behind your app can be repurposed. 0:30
  • Real case: a user asked Klarna's customer-support chatbot to help with Python coding — and it complied. 0:30
  • Why it matters: not directly harmful in itself, but the app gets hijacked for tasks that waste resources (you pay for the tokens) and confuse users. 0:48

Mitigation covered later: a topic classifier in front of the LLM (product design choices).