Brian Lovin

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And you want to be the kind of person that can move between those types of working very fluidly and not get caught up in, but what's my what's the box I'm in at this company, right?

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I think that our obsession with titles is what will screw people over.

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AI is not magic. The underlying systems are very complicated. I don't think anybody would claim they know what an LLM's doing under the hood. But it is doing things on your computer like writing files and writing scripts and like invoking bash commands that were invented in the 70s. And those are knowable things.

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but feeling like you have a grip on it like oh if I just get my skills in the right order if I just review things in the right right flow and like have this model do this. I think it's a lot of cope for the fact that like the models are still inconsistent.

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anyone who knew how to code before AI is having a way better time using AI than someone who didn't know how to code because guess what? They know the right words to say.

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These are stupid these are stupid prompts but they work because it just flips the right bits so that the model will extrapolate from there.

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if you want it to pay attention to a certain thing, you have to say the certain thing. Like you actually have to say the thing that you want it to focus on.

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That means if you have really high quality input tokens, you're going to get higher quality output tokens but those input tokens are where you get to steer where you want the thing to go.

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I think the models are still bad enough that if you really care about the final quality of the thing that you're shipping, I think you got to look at code.

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I think it's a good time to not have an allegiance and not get tribal about tools. Just try it all. Just try it all, see what works

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The frustrating thing is like AI is still terrible at last mile fit and finish.

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I think it just moves from, "Hey, check out this Figma URL." to, "Hey, check out this deploy preview." I think that's pretty much it. Like what what's the artifact that we're going to point at together and try together and moving that from one domain URL to another, right?

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I think it's totally fine depending on what you're working on, but I would say the barrier to entry to try making something in code is so low that I I think everybody has dabbled with it.

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if you're really trying to use AI right now to automate knowledge work or simplify your job or like remove a process at your company, you're a very early adopter and the tolerance for those people for like kind of sub-par experiences is actually quite high.

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is every 6 months everything that we did before becomes more or less irrelevant.

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I think where designers need to be designing right now is like right at the the boundary of the next the current model, like hoping that the next one solves it, right? Like we're all shipping shitty vibe-coded slop just hoping like, "Ah, the next model's definitely going to clean this up, right?" And I think that's probably a good a good place to be right now as a designer is really understanding what's possible, trying to push the edges even if it sucks and you get stuck

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Like as soon as you realize you can't design half of this stuff in Figma, what you're really designing is the harness for the agent to do longer things and verify its own work. And a lot of that means using AI in your day-to-day work and just getting like a feel.