Every now and again you hear a line in a podcast, book or from a boss that sticks with you. For me, it was:
People don t want your time. They want your energy.
Fifteen minutes of full focus beats thirty minutes half-scrolling your phone. That same idea is shaping how we re building @Meet-Ting - not just another scheduling tool, but a more emotionally intelligent scheduler.
One of the coolest parts of my job is getting a front-row seat to how @marianaprazeres thinks about AI. Memory feels table stakes in AI right now. But for @Meet-Ting, it s not just a log of the past - it s a living system that shapes how people schedule, work, and want to spend their week. It s not just logistics - it s patterns around energy, priorities, and relationships over time.
Here are a few things we learned while designing and testing agent memory in production:
A recurring request from Ting users was for a shareable "scheduling link". No matter how much we believe in our unique approach, Calendly has changed the game, and links are ubiquitous across the internet.
But Ting s mission is to keep the user and guest in places they already communicate, like email or WhatsApp.
So @dbul and I asked ourselves: how can we give users a link without building a web app? The answer was to go back to basics.
It seems like every product on here these days is AI.
And every AI team is outstanding (I ve even spotted a few in the same category as Meet-Ting - which I actually love, nothing better than building to save people time and bring humans together).
