Tomer Cohen: recommendation

Transcript context

…Yeah, that makes sense. There may be just like a researcher with a strong opinion about something that you disagree with and it wouldn't know. It's like, oh, of course, this is data, this is fact. Exactly. And then it doesn't always understand ties to original specs to success. You have to actually build... This is a really interesting way. When you think about how you bring those tools in, you can't just bring them in. You have to know what you feed them with. And what you feed them with is not just access. I see a lot to just focus on the connectivity and integration and it reminds me of the... This is almost like, this is actually more than 10 years ago when I was co-rebuilding the team, co-rebuilding the feed at LinkedIn and we started from scratch and I had to literally sit down and filter through examples of what is a good professional post on LinkedIn and what is not. And this was like weeks of work getting up that golden sample of examples, but it wasn't... The most important part was feeding at the right data, not all the data. So it requires work. This is where I would say for many companies who are thinking about this phase, and I do a lot of sessions today with CPOs and COs on this process. You have to put this initial work to get the gains after. 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. This episode is brought to you by Miro. Every day, new headlines are scaring us about all the ways that AI is coming for our jobs, creating a lot of anxiety and fear. But a recent survey for Miro tells a different story. 76% of people believe that AI can benefit their role, but over 50% of people struggle to know when to use it. Enter Miro's innovation workspace, an intelligent platform that brings people and AI together in a shared space to get great work done. Miro has been empowering teams to transform bold ideas into the next big thing for over a decade. Today, they're at the forefront of bringing products to market even faster by unleashing the combined power of AI and human potential. Guests of this podcast often share Miro templates. I use it all the time to brainstorm ideas with my team. Teams especially can work with Miro AI to turn to unstructured data like sticky notes or screenshots into usable diagrams, product briefs, data tables, and prototypes in minutes. You don't have to be an AI master or to toggle yet another tool. The work you're already doing in Miro's Canvas is the prompt. Help your teams get great work done with Miro. Check it out at miro.com/lenny. That's M-I-R-O.com/lenny. What's the current state of the pilot? How large is it? How many teams are doing it? What kind of stuff have you shipped? Just give us a sense of today's world.…

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