Albert Cheng: belief

Transcript context

…What's in your AI stack along those lines? The PMs are mostly using V0. The designers love Figmas, they're using Figma Make. The engineers are using a combination of tools right now. So Cursor, Cloud Code, GitHub, Copilot. Marketing teams use all sorts of tools for translation, subtitles, content adaptations, et cetera. Customers support uses Intercom then. So there's quite a lot of tools that are used across the company. I would say though that something that is annoying to me is that we haven't yet figured out the bridging from the tinkering to the workflow quite as seamlessly as I would like. And so each sub-function, even though the common I guess wisdom now is that AI is going to strip away these functional titles. It is true that based on your experience, you may gravitate to using a type of tool more. And if that tool isn't as interoperable with some of the other tools that you need to pass down the chain to actually ship it into production, at least at our scale. I think for smaller startups, sure, PMs should just go ship it, but for us, we are still doing some handoffs between functions. I expect that to change over time and we are investing in some of design system components and MCPs and stuff to make it a little bit easier. But yeah, it's an investment and it takes time to smooth things out. I want to come back to this topic of how things have changed and how you work as a product person, as a growth person across the companies you've been at. But first of all, I want to talk about another example of finding growth wins and monetization wins. Noam Levinsky, who is Chief Product Officer at Grammarly, you worked with him for a while while you were at Grammarly. He said that I need to ask you about the biggest monetization win that you found at Grammarly and how you discovered the opportunity.…

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