The trusted face is the mask, but the machine underneath doesn’t know when it’s wrong, and that’s exactly what you won’t check. The more we trust a name, the less we question the machine wearing it, and the more that name has to lose when the machine is confidently wrong. A few weeks ago my team spent an hour arguing about whether to lie to people. We were designing the onboarding for an AI product, the first time user experience that tries to prove the product is worth their time. The fairly insignificant thing we were fighting about was whether to add a little animation that made it look like the software was thinking hard, adding a few seconds to the flow when really it could have been instantaneous. A spinning “analyzing your answers…” moment where we could inject some language and brand feel into otherwise straightforward flow. A fake insight or two we’d basically hard-code to make it feel personal and “magical,” a wildly overused word. We knew what it really was, though. It was smoke and mirrors, but it really divided us, because we knew it would work. It would have been a great first impression. What stopped us was the idea of a bait and switch where we get someone genuinely excited about something that wasn’t actually in the product (yet). We talked ourselves out of it, not because we’re saints, but because the same worry kept coming up from every one of us. Someone finishes that slick little intro, thinks “huh, that was cool,” and then realizes it didn’t do a single useful thing for them. You’d have spent your most valuable moment, the one where a person decides whether to trust you, teaching them the magic was fake. Which, obviously, it was because magic isn’t real. What stuck with me afterward was that this was a low-stakes debate. We were literally deciding whether to fake a loading animation. What happens when the smoke and mirrors comes with larger stakes? When the confident, capable-sounding thing on the other side of the screen is wearing the name of

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