So the question is, like, how can teams use AI for deep research without just blindly accepting the first draft, as you've mentioned earlier, and how does asking AI to explain its reasoning-Help challenge our own blind spots

I think it's one of the most pressing questions of our time in many ways, um, because i- in, in so many ways we are stumbling into this technology without proactively defining how we wanna relate to it.

And so I think the opportunity for teams and, um, and communities in this moment is to get extremely clear not only about our expectations from the technology, but how we wanna relate to it right now.

And I wanna be really clear about, um, you know, when we talk about AI as a junior intern, there's no encouragement to anthropomorphize or humanize these tools, right? That's its own set of problems.

But it is helpful to think about how we collaborate with people in collaborating with this software, because it is different from how we've collaborated with other software in the past.

It's fundamentally different.

Um, to your question about over-reliance, I think that, uh, a really important opportunity for teams is to, um, you know, there, there are a couple of kind of prompts for critical thinking that I'll share that I think are really useful.

So Remy, if an organization wants to start adopting these tools without burning out their team, what is the very first manageable step that they should s- that they should take? Is there a simple browser extension or integration that you recommend they try when they sit at their desks tomorrow?