Sasha Dikan

Today, the productivity domain in tech is very well developed - there are tools for almost any need!

But at the same time, there s always a feeling that there might be something else, something better. All the time.

What I like about this space is that once people start using tools like Miro, Notion, Trello, ClickUp, etc., they tend to keep testing new things and experimenting with different tools.

Now the productivity domain in tech is so well-developed - there tools like for any need! But at the same time there is a feeling that there might be something else, better. All the time.

What I like about this sphere is that people once started to use tools like Miro, Notion, Trello, Clickup, etc., like testing new things and tools all the time.

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.