Evidence receipt / observation
Published · transcript-backedSteve Ruiz: observation
5 Jan 2024 Latent Space The Accidental AI Canvas - with Steve Ruiz of tldraw
“Like this alone is like super cool in something like V0 or some of these other kind of prompting environments, like the only way for you to then make this better, oh, maybe you can do this with ChatchubbyT or something and you could write like, oh, actually, you know, you missed the labels.”
Source trail
Everything needed to verify it.
- Speaker
- Steve Ruiz
- Attribution
- Verified speaker
- Claim type
- observation
- Recorded
- 5 Jan 2024
- Publisher
- Latent Space
Transcript context
…That's incredible. Like this alone is like super cool in something like V0 or some of these other kind of prompting environments, like the only way for you to then make this better, oh, maybe you can do this with ChatchubbyT or something and you could write like, oh, actually, you know, you missed the labels. Like it should say orange and pink, you know, on top of this thing. And it doesn't. So you could go back here and like, you know, make sure that this is, whatever, you could change the input. But because this is tldrawn, because you can draw on top of this stuff, you could also, you know, write on top. Like you could kind of modify this and maybe even give it the same type of markup that you would give to a designer or something like that, you know, and draw some arrows or maybe paste in a screenshot and say, hey, make it look more stylistically close to this other thing. And then what you do is you select the website that they gave you back, the previous result, along with all this markup, and you use that as the new input. And so that's going to give you something kind of like an image that looks like this that you've now sent. But we've also kind of tweaked the prompt a little bit when you do include a previous result and say like, hey, the wireframes coming back are annotations or markup based on what you sent before. And there you go. So now we have a new prompt that, sure enough, the labels are there, you know, it still works just like before. The button is full width and, you know, it still works just the same. So we send it back. Again, we send it the image, we send it the text, the prompt. We also send it all of the text items themselves separately because ChetchiBT is not really great with recognizing text. So we say like, oh, by the way, your vision's not so good. So we've ensured to have our copywriter, you know, list out all the copy that you can use. I think we even send it back the HTML that they used for the previous result. So we just dump like as much information as possible at GPT-4 with vision. And that's how you're able to get these sort of iterative results. And it is like legitimately good, like it feels like work. It feels like you're actually doing stuff when you're iterating through this way and slowly shaping and adding complexity and doing step by step, you know, as you're building something. And then you can copy a link to that and open that in a new tab like we host it. It's there forever. You can bookmark this. If you really just needed a slider between orange and pink, well, now you have one, you know, whether you could code it or not, or maybe not worth building or using a no code tool to build. But we just made that in five minutes. If you are more on the co-design, you want to use this as a kind of a foundation of a real project or maybe just to like see how it like, how does that actually work? You can open it up in StackBlitz or CodeSandbox. on the co-design, you want to use this as a kind of a foundation of a real project or maybe just to like see how it like, how does that actually work? You can open it up in StackBlitz or CodeSandbox. I think tomorrow we'll have Repl.it and yeah, see all the code, see what Chachapiti came up with and kind of use it or adapt it or, you know, keep it going or do whatever you want with it. Yeah. Cause it is, it is real. Yeah.…
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