The AI Workflows Behind Every's Consulting Team

**Dan Shipper** (0:00)
You go and teach executives and other people at big companies how to use AI. And so I think what you're doing is a good window into how great operators and executives are starting to use this stuff.

**Natalia Quintero** (0:10)
What Codex helped me do was basically create kind of like an operating system. My email knows what's going on more than I do. I'm just so bullish on all of the administrative tasks that will suddenly kind of like be taken care of, because now we have this sort of like super alien tool that can support on those things.

**Dan Shipper** (0:27)
My knowledge work now is turning into something like gardening, where when you're gardening, you're creating the conditions for the growth to happen, but you're not like making the plant with your hands.
Every is the only subscription you need to say at the edge of AI. If you care about being on top of the latest models and using the latest tools, you have to subscribe to Every to separate out the signal from the noise. Go to every.to slash subscribe today. Natalia, welcome to the show.

**Natalia Quintero** (1:05)
Thanks Dan, good to be back.

**Dan Shipper** (1:07)
So for people who missed your last episode, you are our head of consulting at Every. That's right. You are also the manager of Claudie, consulting's AI agent employee, which was who was the star of our last episode together. I wanted to bring you on because I feel like every couple months, things shift so radically. For me, you're one of the bellwethers of how things are changing, because you're an early adopter yourself, and you go and teach executives and other people at big companies how to use AI. So I think what you're doing is a good window into how really great operators and executives are starting to use this stuff.
So the last time we chatted, Claude, which is the internal AI employee agent that we built to basically help to run the consulting business, to send out sales proposals and manage the CRM and all that stuff. Claude was like this nascent thing that Mitesh, who's our senior AI engineer, was like, what's the word for it?
He was like wizard of Oz-ing it in the background, making it work minute by minute. But I feel like now Claude is actually working. The model releases over the last couple of months have dramatically changed how much she's able to do. So give us an update on Claude. How are things going there?

**Natalia Quintero** (2:37)
You know, it's funny with the speed of AI. Claude, it feels like Claude is like just not novel. You know, Claude is an agent that does work for us every day. And Claude has its own LinkedIn and Twitter feed and manages our dashboards and has a trust battery now that's new.
So, you know, it's running on a loop to sort of like self-evaluate performance and to improve itself given the feedback that we give it. And Claude is thriving, I guess.

**Dan Shipper** (3:14)
One of the things that's interesting is you hired Claude to do operations stuff, but you're also now hiring an operations person. So what have you learned about the uses and limits of these sorts of internal agents for stuff that you might want to hire a human for?

**Natalia Quintero** (3:29)
Yeah, you know, it's really interesting. I think, you know, as we've all been using AI more, I think the thing that we keep coming back to is that AI is really good at executing against a standard operating procedure. And Claude is exceptional at that. But Claude still needs two things. One is it needs constant oversight and management to make sure that it's doing those things really well, actually. So, you know, the sort of question of like taste and, you know, reaching for excellence still requires direction and sort of managerial support, which, you know, can be quite tedious and time consuming. So there's still quite a bit of time involved there.
And two is when you are working with people, you know, as much as I love working with Claude, I want to interface with people, right? And I find that-

**Dan Shipper** (4:21)
I can't really relate, but I see why someone might feel that way.

**Natalia Quintero** (4:28)
And the reality is that, you know, while we do have all of these rich dashboards and all of this data that Claudie is populating, we need someone to surface what is interesting about that data, what the signals are and to help lead those conversations. And so actually, I suspect that we will continue to expand the team to build on the data and information that Claudie surfaces so that we can actually do interesting things with it.