AI is everywhere right now - from copilots and chat assistants to analytics, research, and planning tools. But beyond the hype, I m curious about what s truly useful in day-to-day product work.
From a PM or founder perspective:
Where has AI genuinely saved you time?
What tasks do you trust AI with - and what do you never delegate?
Has AI changed how you write specs, manage roadmaps, or talk to users?
What AI use cases sounded great in theory but failed in practice?
Personally, I see a lot of potential, but also a lot of noise. I believe that in the future, AI should help us much more. Create good roadmaps, convert product specs into concrete tasks, prioritise them, assign people, push for realisation, and much more.
New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.
Curious what the community recommends for coding tasks? Any preferences?
First day back with my co-founder Charlie, and we showed up ready to build! Feels a bit like the first day back at school: excited, a little nervous, ready to dive in .
Merry Christmas Jonathan Ross (Groq s Founder)! $20B will buy a lot of holiday cheer!
Today, Groq announced that it has entered into a non-exclusive licensing agreement with Nvidia for Groq s inference technology. The agreement reflects a shared focus on expanding access to high-performance, low cost inference.
As part of this agreement, Jonathan Ross, Groq s Founder, Sunny Madra, Groq s President, and other members of the Groq team will join Nvidia to help advance and scale the licensed technology.
Groq will continue to operate as an independent company with Simon Edwards stepping into the role of Chief Executive Officer.
GroqCloud will continue to operate without interruption.
