Chris Pedregal
speaker
154 appearances
1 recordings
1 series
first heard Feb 2025
last heard Feb 2025
Chris Pedregal’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsNo recordings in the last 12 months.Older appearances are listed below; set an alert to hear about the next one.
Appearances
It depends on the tool. But right now, it doesn't feel like you and the AI are working on the same canvas. It's like we're working on two separate canvases next to each other. This is a very basic thing. But when you're using ChatGPT or Cloud, you can't go and edit the response that the AI gave you.
You don't go in there and be like, oh, actually, you know, this point was dumb and let's change the language here. You tell it, please make it shorter as a command. And you hope that it rewrites it in the right way. And that's just going to feel like madness not too long from now. I guess there's a historical parallel here. These things feel very obvious once they're invented.
Early computing days, when you were in a text editor, the first text editors, there's this idea of modes. So there's a mode where you're like text insertion mode and you'd go in and you'd write some words and then you'd exit that mode and then you'd go into deletion mode or copy mode. You'd have to enter that mode and make that change.
And then like Tesla basically went on a vendetta to change this. So now it's actually, you should be able to type and delete and cut and copy and do all that fluidly without entering different modes. And that was unthinkable before we made that jump. So it's kind of hard to imagine what that's going to be for AI. I guarantee it'll feel completely different than what we have now.
I think granularity of control and speed of collaboration are the two things that are going to go way up. So it should be way more fluid.
There are a few things that have jumped out. One is the variety of use cases people use it for. So we built it for work meetings. Very quickly, people started telling us, my partner has cancer. We have all these meetings with doctors. Granola has become absolutely invaluable in that process. I actually don't know I would have managed it before. There's the use case thing that was unexpected.
Then the other thing is people are... Finding creative ways to get more context into granola that is just not designed for. And this is the, I am brainstorming, brainstorming an idea and I'm just going to create a meeting in granola, like a note in granola and just talk to myself. Or I need to plan out my day.
So I'm just going to talk about the different things going on and then use granola to help prioritize what I'm doing. Or I'm watching a YouTube video on a subject I'm trying to learn. I have granola open and I'm taking notes in there because of that. That's probably the biggest surprise.
The other behavior change, I think I mentioned this before, is that when people go back in Granoa, less and less they read the notes that were there, and more and more they ask the Granoa chat what they're looking for.
I fully support it. For us, we build on top of foundation models and the speed at which models have gotten better over the last three years is incredible. And I believe that companies like Granola benefit tremendously from the competition between the providers. And as a result, I think users are benefiting tremendously.
That's exactly right. I think eval is not simple, but what you described is exactly what we do. We don't just use one model in one place. We use lots of models and lots of different ways inside of Granola, but we will switch to whatever the best model is on any given day.
So I don't have a crystal ball here, but here's the way I view this. There may be two axes here that matter. One is how common is this a use case for me? Is this something I do like once a month or twice a month? Or is this something I do 500 times a day? And two, how great do I need to be at this task? And I think everything that is low frequency where you don't need to be great at it,
will be eaten up by the general assistant. And I'd say most consumer use cases actually fall in that quadrant because it's basically impossible to build a habit to use a new tool on a low frequency use case. And if it's something where you just need it to be like pretty good, then a universal assistant like Claude is perfect.
And actually, the more you use that, the better that assistant will get for you. I think the other end of that quadrant is basically high frequency use case where your output needs to be really, really good. And that's basically the power tool quadrant. There'll always be that pro tooling for the people who really want to do a fantastic job at something. I think that's where Granola sits.
And you might be like, oh, but why can't the general system do that as well if the model just gets smart enough? And my answer there is it's not a question of intelligence. It's actually how great is the UI optimized for this use case. And I think that if you have a product that is solely dedicated to being phenomenal at that use case, it will be a better experience than a general tool will be.
So I think the limitations there, what separates that is really around the product design and optimization of the user experience, not of the underlying technology.
My personal approach, you can boil down most great product thinking and design to a very simple question, which is when you use a product, when you look at it, really ask yourself, how does this make me feel? And just keep asking yourself that question and really, really, really listen to the answer.
And then once you've done that 100 times, put that same product or UI or button in front of another person, just ask them that question over and over. And I think when you do that, you realize within the first, I don't know, 500 milliseconds, when you look at a product, you feel like 10 things. And oftentimes those things tell you exactly, oh, it's too complicated. It's too cluttered.
I don't know what to do. It makes me feel insecure. There are so many emotions and they go by in like a flash of an instant. If there's an emotional recorder and you could play it back in slow motion, that would tell you all you need to do to make your product great. So there are lots of other things that matter, but I feel like that one question is an incredible guiding force.
The granola-specific one is all about giving the user control. Granola is a tool to make you better, which means you drive the tool. And every decision we make ties back to that. in one way or another. Even the most basic one, it is an editor. Most AI apps that generate notes, they don't generate the notes in an editor where you can edit them. They give you a PDF kind of thing or like an email.
Showing 61–80 of 154 · page 4 of 8
← Previous
Next →