Sprig

“And the problems are, one, they're wasting a ton of food. Like you cannot predict how much food you need on any given day. And they were like, yeah, we have this AI model, like we're going to Predict if there's a Giants game, it's this, if this, it's actually …”

“You can take two expert user researchers, give them the same list of, you know, 500 responses, tell them to distill them down into 10 actionable takeaways, and those 10 will be completely different, or even if they are the same 10 takeaways, the responses that…”

“We originally hired Amazon Mechanical Turks, and we said, hey, we'll save money. We'll have three of them review every response. But we'd often see that even if all three of them gave the same output, we would go to an expert researcher or a customer or look a…”

“We brought on a world-class researcher who was actually on the faculty at Yale as one of our other You know, very early team members. She was actually the fourth person to join SPRIG, and her first role was reviewing.”

“Cause we will never, it's very unlikely we'll ever get to a hundred percent. And so we'll get, you know, 90, 95, 99. But we'll always make sure that they have the ability to then do that last mile of analysis on their own. And so that's something that we have …”

“And that's just, that's something that's really hard to evaluate in an automated manner, at least right now, because it's a more complex task, because the output is, you know, non-deterministic and freeform. For now, it really just does require some manual eva…”

“The uniqueness that we found for product development specific with AI is that You know, we define product best in class product development as a product manager and a minimum designer starting from the very beginning of ideation and building a product spec and…”

“I remember at first the very early days of Sprig, there was some wording around your automated user researcher, you know, or it does all the text analysis for you. And that was actually very off putting for both user researchers and product teams.”

“You know, I think with working with customers with AI, you also have to develop world-class techniques of not asking the customer what to build, but instead giving them a set of options to provide feedback on.”

“And so having, AI engineers embedded with traditional engineers has been the big breakthrough for us and working together To develop and build these features and not seeing AI as, like Kevin said, an input output, you know, the model spits out a response that …”

“Right now a lot of these models fall flat and for an application like ours and for a lot of applications out there, that's kind of a pretty glaring omission. You know, these models are fantastic at summarization. They're really good at generating text based on…”

“Based on what we've seen today in the boundaries of the LLMs today is that we could, based on what we have tested with the models, actually build that now. And we are seeing the sophistication, the capability of the models to build that now. I think the roadbl…”

“When we're in 30, 40 markets, we'll have technology that allows us to have root cause analysis to track the food from where it's produced to when it, you know, when it gets consumed, so that in the event of an outbreak, we could very easily identify which batc…”

“We've noticed that actually skin on chicken breast, actually, or chicken thighs do great because the skin actually creates a protective layer that ensures that the quality, that the chicken stays moist and tasty, even, you know, if it's a half hour delivery or…”

“Burritos actually, speaking of Chipotle, do super well because burritos actually, the wrap protects the food on the inside from oxygen. And by protecting food from oxygen, you actually reduce the chances that that food will degrade over time since oxygen, oxyg…”

“At this point, honestly, we don't really think of ourselves as having many competitors, direct competitors, because in San Francisco, most of the direct competitors have either pivoted into a slightly different business or have fallen by the wayside.”

“And, you know, our power users today already use sprig in that way. So we have a, you know, a good percentage of our customer base who use sprig, you know, three, five, 10 times a week.”

“One of the things about, like, local marketing is you have this incredibly tight-knit network of potential customers. I mean, Lyft customers see each other every day, and Sprig customers see each other every day, and they eat dinner together, and that's a huge…”