Running into an interesting problem with the use and sale of AI products and I think it's worth solving. Curious how others are navigating this bias? The labor perception bias is when people trust and value things more when they see the underlying work. People dislike waiting in general, but if your users have high expectations (e.g., money transaction, migration, analysis, reporting), they become skeptical if the waiting time is too short. Example: you go to a nice restaurant and order your meal; the waiter walks back into the kitchen and returns moments later with it. Sure, it's a nice presentation, but now your skeptical of the quality. Rightfully so, you expect a great meal to take time. Whether it is the time it takes, or the labor required to make something right, this bias is deeply engrained in our thinking. With the market highly skeptical of the quality of AI outputs, regardless of if this perception is right, wrong, real, or imagined, they're looking for any excuse to write off your work as somehow worth less than human labor. I'm sure these are growing pains, but in the meantime, any good ideas for how to solve for this? The logic isn't lost on me: I worked hard for my money, so if I think you didn't work hard for the product I assign it less value regardless of its quality. Why should I trade what took me time and energy, for what took you none? The difficult part to work out here is that it does take labor and skill, a hell of a lot of it, even using AI to build and ship things at a high level of quality. So how do you change the perception of the labor involved?

Wondering if any in this community have tried both tools and have any insights to share. Which do you prefer and why? Would really appreciate any feedback and info you can share.