At the core of Assemble culture is an unwavering drive to keep improving. We love to push the boundaries creatively, and we know that to do that, we have to work smarter. With the rapid development of AI technology, this focus has never been more important to stay ahead of the production game. So we research. We learn. We test. And we build. Because why should we only rely on the tools out there when we can create our own — and make them even better?

I’m a morning person, so I like to wake up early and walk my dogs or meditate a bit to get myself in the right headspace for the day. I’ll start by going through my to-do list (I’m a big agenda girl!) and organizing all my tasks. Right now, I am working with a big Pharma client, designing social media posts, invitations to clinical trials, guides, brochures, and anything else they need as part of their overall strategy. I create some animated videos, so I develop a lot of storyboards and create and modify each asset for different platforms and placements.

It doesn’t matter what industry you’re in, everyone is talking (and debating) about AI. While we’ve seen technology come a long way over the last couple of decades, these tools are arguably the most transformative developments of our time. But like every other new wave of technology, it’s bringing a whole new language we have to learn with it — and important differentiations that need to be cleared up.