Angelina Yang discusses why AI agents fail in production. A customer-service agent invented a discount that never existed, triggering a lawsuit and major costs. Limiting agent capabilities protects your brand.
Chapters
What do you think a very smooth transition from a demo to a more dependable production use case look like?
Let's say the reliability and the safety of agents is clearly key points to release in production and especially when you have high stakes agents and you cannot allow yourself to have hallucinations, guardrails not follow anything like this. So I think it's really regarding this trying to have agent maybe that can do less things but at the end it protects the brand you are representing. For example if you are a luxury brand you want your agent to be a premium experience you don't want to have you know to be spammy, to be noisy and so on. You know there is this example with a company align where the agent, the customer success agent invented a discount and so then it went into a lawsuit and so on so cost a lot to people. So releasing in production is really regarding safety and reliability.