Best reads for PMs & Designers
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First seen 30 May 2025
"What you don't want is an AI that just agrees with you." Dianne Penn (Head of Product, Research & Labs at Anthropic) on using Claude to sharpen her thinking without letting it take over.
YouTube: AI Engineeryoutube.com · 26 August 2026
>> Hi everyone. So, I think I'm one of the last speakers that is standing between you and the long weekend. So, I hope I can get your energy levels up. Um so, I'm responsible for our internal AI tools for our sales team. And the reason I'm here today is indeed like we launched our internal go-to-market assistant uh in September last year. It answered more than 1 million questions so far. We have roughly answered 40,000 questions a week. Um and we are the customer zero for a lot of Snowflake products. So, this is built on Snowflake co-work. Um and I meet a lot of customers every week. Okay? So, I meet a lot of enterprises, Fortune 500 companies, and then they're all trying to build similar things, and they all struggle, right? So, and then I end up like having this discussion with them all the time. Like they ask like how did you guys do it? And then we share our best practices. So, I will try to share some of those things with you. Uh I'm told that I need to have some code in my presentation. I don't, but I will try to show you at least some architectural diagrams just to make it more interesting
Nielsen Norman Groupyoutube.com · 20 August 2026 · 2 videos
I want to tell you about a decision we made when we built NNG's first institutional AI agent. We named it Lemon. Yeah, a fruit. And yes, I know Lemon also means a broken car. It's just a little insurance for if this turns out to be a bad idea. The name sounds a little weird and dumb on purpose. Here's why. Most AI products are named after people. Alexa, Siri, the one your bank just rolled out probably has a person's name and a chirpy little personality. That's not an accident. Companies might think it's the right choice, but NNG's research is pretty clear about that choice. Humanizing AI is a trap. A 2025 study found that training a language models to be warm and empathetic raised its error rates by 10 to 30%. Making AI feel more human actively makes it worse at doing things. And users trust it less when they realize it's pretending. So when we build our own organizational AI, we had to get the name right. Lemon is a tool, not our friend. It works for the company. Any new AI we make gets the same treatment. Zest, marmalade, Meyer. Nothing human. More Lemon lessons coming.