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.
A few years ago, AI at work meant smarter autocomplete or a chatbot on your website.
Now, I m seeing something different.
Companies are experimenting with AI agents as teammates - not just tools. They schedule meetings, file reports, analyze data, and even handle parts of customer support.
We ve all got that one thing we still do manually that makes us groan every time - formatting copied text, renaming files, setting up tasks, writing the same message again and again. If you could wave a magic AI wand and automate just one repetitive thing, what would it be? Bonus if you ve actually hacked a solution for it, I love learning from clever automations. Also: I m working on something in this space, so I m not just asking for fun Following anyone who shares something cool or teaches me something new.
I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!
There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.
What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?
