To get AI to do what you need, show it what good looks like through clear examples and onboarding. Klarna's customer support AI handles work equivalent to 700 agents, but early failures came from bad documentation, not the model itself.
Chapters
How you be successful with AI is you have to teach it what good looks like. You have to show it what is a good example of this task being complete. I cannot emphasize that enough AI is like a junior employee. OpenAI's latest model is like a expert level PhD so they're getting much, much better. But you still have to onboard that employee to like what is good. Let me give you a really good example of this. So Sebastian, the CEO of Klarna Klarna have had a ton of impact using AI within their business and he talked about the fact that their customer Support, they've integrated AI. It's equivalent to about 700 support agents today. But they did not start there. Their initial attempts to integrate AI into that function were not successful. And it was not the models that were not good enough. It was not the execution that was not good enough. It was something really boring. They did not have great onboarding docs so they could not teach the AI assistant what good looked like.