One of the biggest challenges in AI today is trust. If an AI recommends the wrong product or invents information, you lose the customer instantly. Most approaches try to fix this with guardrails—like telling the AI "don't say this" or "avoid that." But according to Dan Wagner on the Implement AI Podcast, that approach doesn't solve the problem.
Instead, the real solution is architectural. Rather than correcting AI after it goes wrong, you design systems where it can't go wrong in the first place. This means structuring how AI accesses product data, controlling how responses are generated, and preventing hallucinations at the source.
The result is a conversational experience that feels like talking to the best salesperson in the world. Because in commerce, accuracy isn't optional—it's everything.