00:00:00
Talk to me about knowledge workers and
00:00:01
what you're seeing with your most AI
00:00:02
first employees.
00:00:03
>> Yeah, so one of the big pushes we made
00:00:05
in the last year was um we got our own
00:00:08
internal hosted AI model that was
00:00:11
connected to all of our data sources,
00:00:13
right? So it's like every Slack message,
00:00:14
every Google doc, every Salesforce data
00:00:17
confluence, you know. So now the data is
00:00:20
all aggregated and I've started to ask
00:00:22
it really it's not just like prompting
00:00:24
it, hey, can you write this kind of memo
00:00:25
for me or something? It's like I'm
00:00:27
asking these AI agents now um as CEO
00:00:31
like what should I be aware of um in the
00:00:33
company that I might not be aware of and
00:00:34
it'll tell me did you know that like
00:00:36
there's actually disagreement on this
00:00:37
team about the strategy and I was like
00:00:38
actually I didn't know that cuz it can
00:00:40
read every Slack message in every every
00:00:42
Google doc and then this is like reverse
00:00:44
prompting. So instead of telling the
00:00:46
agent what you want to do you you ask it
00:00:48
what you should be thinking more about
00:00:50
right and
00:00:51
>> it's a mentor.
00:00:52
>> Yeah. It's a coach.
00:00:53
>> Yeah. Like what could make me a better
00:00:54
CEO? And it's like, well, I notic I
00:00:56
looked at all how you spent your time in
00:00:57
the last quarter. Here's how you said
00:00:59
that you wanted to spend it, but you
00:01:01
actually spent like 32% of your time on
00:01:02
this instead of 20. Um, and it'll I've
00:01:05
asked it other questions like, you know,
00:01:06
what's the thing that I changed my mind
00:01:08
on the most over the last year? Things
00:01:10
like that. So, it's been it's now
00:01:12
becoming like it'll prompt you with
00:01:14
information you should be thinking about
00:01:16
instead of the other way
