Public evidence record
Published podcast speaker
Claim ledger
32 transcript-backed records
01 / belief
“We had our first MVPs of those agents I think like four to five months after it was really trained, I would say.”
02 / belief
“After you build something for such a long time, and I think you and I talked about it at one point, that I think one of the best traits for a builder is to become very passionate with what they're building.”
03 / belief
“Actually, I think in general, you can feel overwhelmed by tools right now, by recipes and how to do things like what's your prompt and what's my prompt.”
04 / belief
“In fact, I think we're close to 50% of all those builds being done by the maintenance agent and a QA agent.”
05 / belief
“Platform and tools I think would be, again, a prerequisite, but not sufficient, and the cultural aspect is really important.”
06 / evaluation
“Same with coding. It doesn't work that you just bring it in and it just reasons over your code base really well.”
07 / belief
“The other thing I would say, it takes time for this program and its formality to roll out across the entire organization, and I was intentionally not trying to be quick at rolling this out to everybody because I think that just dilutes the value of it really quickly because it's not about...”
08 / evaluation
“I see a lot of companies roll out their agents and just expecting companies to adopt. It doesn't work this way.”
09 / belief
“We're going to really orchestrator across, but we did want to be able to rate and grade those agents really well on how they're doing. And I think there is a level of expertise.”
10 / prediction
“I would say in six months or so, we'll be able to see a lot more of the organization use it and you'll start seeing those top line numbers will build as well.”
11 / prediction
“0, which is really the notion of building personalized medicine, which I think in the world of AI will become incredible in the future.”
12 / evaluation
“On the quality side, we're seeing insights discussions just be much, much better. And by the way, quality and time, sometimes they help each other because it's high quality, you don't have to spend as much time on something.”
13 / evaluation
“I think top talent has this tendency of continuously trying to get better at their craft and this innate need to be at the cutting edge of how you build, and I think we're seeing this here as well.”
14 / preference
“But I think the one I love, growth mindset is a second religions for us at home. And one thing I love about, there's a phrase there that is becoming is better than being, which I think ties into the FSB mode a little bit, which is you're always in progress mode, iteration mode.”
15 / recommendation
“If you're a leader, give yourself KPIs you share with your own teams or OKRs. And if you're inside of the organization, and I would say whether or not or not your CPO or your CEO is announcing this type of program, go do it or join an organization that does it so you can be at the cutting edge of how you build in the future.”
16 / recommendation
“When I think about it, I think there's a takeaway there in generally with AI, even if you're learning it for the first time and so on, whether it's Cursor or whether it's design, if it's Figma or other tools or Lovable, you should be ready to invest those hours before you start seeing yourself pick up in velocity and quality, which will come up, but you have to invest that time.”
17 / evaluation
“" So those became really powerful. That's on the clarity of thought, clarity of execution is even more important because many organizations actually reach a decision, they don't act on it, which it's one of those shocking things.”
18 / belief
“When I think about the future of AI in the sense of belief, that relationship is going to be sacred, the relationship between AI and the human is going to be [inaudible 01:07:10].”
19 / uncertainty
“If you are thinking about, I don't know, a title or that did not, once I did the change into my excitement around impact, that's been at least my yardstick.”
20 / belief
“I think we're in for AI-nophobia at that point, where you're going to get to a point where AI is going to feel so intimate, so personal that it would actually feel concerning to you to be away from it.”
21 / belief
“Yeah, because I think people get, there is just inertia, people get into their, it's human behavior, people get into their lanes, they start to feel really comfortable within the lanes, and then they don't know that there's a different way to do things and you have to almost externally invoke that or trigger that.”
22 / observation
“In fact, you should go all the way to infrastructure. You can have massive lifts in your product outcomes and goals if you probably enhance your infrastructure.”
23 / belief
“Here's an example that I think sometimes to bring it to people in a more visceral way if you've been building products, product leaders are used to very much dictate the experience they're building.”
24 / evaluation
“I think when you do minus one to one, it's really hard unless the CEO says I don't care about how the company performs for the next two years, we're going to go for it.”
25 / commitment
“I think the lesson would be, for me that was the biggest learning going into AI first that gave me the why is AI so core and why I got to make it a priority all the way to my role today to make sure the rest of the organization thinks AI first.”
26 / recommendation
“I believe knowledge sharing and knowledge exchange is the most amazing way to grow your career and to grow your business.”
27 / prediction
“Actually there's a lot, when I think about our LinkedIn feed and thinking about when you started off, it was hard to imagine what that product could be because it was more of a promotional in nature product and I was like, no, is going to be a place where millions of people and not just tens of millions will come daily.”
28 / commitment
“I have strong conviction about what I could do there. And I asked to do this role and we assembled the team around it and one of the main things we've done was to really set the new purpose for it, which was this is not a springboard for other products, this is not a traffic jumpstart for, it's not an app self feed, it's really about people that matter talking about things that I care about professionally.”
29 / preference
“I don't know if this is a recommendation for everybody, but for me it's worked really, really well.”
30 / evaluation
“I think that's much more important. That's why I think when I say I don't mind being wrong, it really comes from a humble place.”
31 / prediction
“I think if we take a step back, there's so much conversation about zero to one products or scaling products, but you don't have much conversations about minus one to one products, like turnaround products.”
32 / evaluation
“We don't compete for volume, we're not in the same category of Meta in terms of the skill there, but we will compete all day long for the right people seeing your content.”