While building an AI coach, we ran into an interesting problem: memory is useful, but some things shouldn t just be remembered - they should become rules.
If someone says, avoid overhead pressing, asking for a harder workout later shouldn t erase that constraint.
It made me wonder: what information in your AI product should survive every follow-up, no matter what?
The digital nomad dream... Beautiful views, new countries, and the freedom to work from anywhere! Sound amazing.
But deep work often needs the opposite: routines, consistency, and fewer distractions...
For me the biggest productivity hack isn t changing my location - it s creating the right environment to focus.
Travel can bring inspiration and fresh ideas, but building something meaningful often requires a place where you can truly concentrate. Would love to hear your experience: Do you build better while traveling, or do you need a stable environment to do your best work?
I launched a product today, and one of the biggest lessons came before the launch:
Building individual features was relatively straightforward. Explaining why they all belonged in the same product was much harder.
The moment the product became easier to explain, a lot of other decisions became easier too: what to remove, what to emphasize, and who it was really for.
Have you ever built something that worked well, but was surprisingly difficult to explain clearly?
