Hey, everyone. Today, I have a very special guest
from Microsoft, Michael Goad, who is a systems
or solutions engineer. I was going to say systems
engineer. Yeah, I appreciate it. Thanks for having
me here. Man, I remember I've been at Microsoft
for a year and a half now, and I remember meeting
you. uh, early on when I first joined Microsoft,
cause you kind of reached out to me, noticed
we all had a YouTube channel and, uh, kind of
started talking about, uh, our YouTube channels
and stuff like that. But I've been with Microsoft
a year and a half. I'm a solution engineer, like
you just mentioned. Uh, but I, uh, I met, I work
on our HLS side. So I work with a lot of our
healthcare providers and stuff like that. So
got some experiences from that side of the street.
That's awesome. So HLS health, what, what's the
LS for just healthcare life sciences. I used
to be with United Healthcare at one point in
time. Now I'm with Blue Shield of California.
Blue Shield, yeah. Okay, so you have customers
like that basically, right? Yeah, absolutely.
Generally, we talk about AI, AI in general. It
can be co -pilot. It can be other vendors. It's
open to whatever we want to speak about. You
know, a lot of times when I use AI, I'm like,
OK, well, it's giving me a good response or it's
not giving me a good response. But like my what
I do isn't like super mission critical. I'm not
dealing with people's lives. I'm not I'm not
a doctor. I don't have a patient. So when I'm
thinking your field, I'm thinking like if I'm
using AI, it's a lot more critical for it to
give you good, accurate information. Is that
something that your customers bring up when you
speak about AI with them? Yeah, absolutely. I
mean, healthcare is a regulated industry. So
we have to factor in those security, you know,
making sure everything your data is secure and
encrypted and things like HIPAA compliance come
into play. The thing that I, you know, when you
kind of start working with AI and whatever platform
you're looking at, especially in regulated industries
like healthcare, you have to pay attention to
like, how do they, you know, what are the security
guardrails that can be set up? And how do I govern
this from an administration side? I think, I
mean, no matter healthcare anywhere, like everyone
wants to use AI and sometimes the organization
wants to let people use AI, but they're going
a little slower than users want because they
want to make sure that they put the right guardrails
in place. So you start seeing shadow AI and all
that kind of stuff. But, you know, healthcare
is just like. At the end of the day, it's very
similar to other business structures where, you
know, we're setting up the right infrastructure,
setting up the right governance controls to make
sure that users can use this tool because we
wanted them to take advantage of it. But we have
to make sure that we have certain things set
up appropriately to make sure that our data is
secure and so forth. So just a little bit more
when it comes to highly regulated institutions
like health care. That makes sense. And, you
know, when you, as you were speaking, I remember
like HIPAA compliance is a big one, right? Yep.
Absolutely. Yeah. That's a big one. The exchange
of like information that might be personal, it's
about the patient and it can only be in a very
specific circle. Yeah. So there's that side of
it. And then there is like just AI itself, right?
I'm curious, your customers, again, being more
on the healthcare side, like. How are they starting
to even use it? You know, whether it's on the
productivity side or whether it's on the agent
side, like what are some ideas that are being
shared with you about how they want to use it?
I think a lot of users are still trying to figure
out how to build their proper skills, understanding
what is a good prompt, what comes into the different
ingredients that make up a good prompt, and then
others are trying to figure out things like agents
and so forth. In healthcare, I've actually seen
some really cool things with people kind of experimenting
with agents. When an organization allows agent
creation, especially within Copilot, it's really
easy. You've done some really great videos on
YouTube. YouTube, we're kind of showcasing how
easy it is to create an agent directly within
the Copilot web UI. And we've seen some really
interesting things. One of the most powerful
ways and the thing that I started to see the
most within a lot of different organizations
is creating like a document library search agent.
And what I mean by that, like, I think a lot
of people, like even when I came to Microsoft,
I'm like, how do I, there's so many HR documents,
policy documents, like how do I? figure out all
these and understand all these and there's still
times where i'm like just just today i went to
i was at a customer on site and i couldn't remember
like um How much is it? When do I need a receipt?
What's the dollar value that I need a receipt?
So I just went to our agent and asked that question.
And creating those type of policy agents where
we take a whole bunch of SharePoint document
libraries and create a real simple agent that
people can use natural language to ask, like,
what's a parental leave or what are my insurance
benefits? I've seen a lot of those. Yeah, no,
that's great. And I think that, like, the research,
summarizing, reasoning. That's kind of like the
bread and butter of AI and what we use Copilot.
And it's been very good at like looking at a
specific knowledge repository of documents, whether
they're SharePoint sites or OneDrive or what
have you, and then giving you information back
so you can have like an HR agent. You know, one
of the... The things that I always see in the
news, right? And I'm sure everyone's seen this.
There's so much fear about AI and kind of like
the future and like people losing their jobs
and all this stuff and automation. And I don't
know, like it's interesting because you and I
are like on the front lines of AI and using it
and talking to customers. And at the same time,
like I see these. other people that have these
really fancy titles you know like i'm a data
scientist for this i'm the ceo of that and they're
like be careful this is coming that's coming
i still haven't seen what it is that they're
talking about that's coming but they're definitely
like doing a good job of scaring everyone And
I always I just still look at AI as like a tool
that's helping me get rid of or get rid of stuff
that I don't want to do. That's, you know, like
over and over again or information that I'm looking
for, like the example you gave when you're on
a business trip and you want to know what your
expenses are. So I still see a lot of this stuff
that. for the most part is benign. Now what's
going to happen five or 10 or 15 or 20 years
from now, who knows, right? Like, but I wonder,
like, do you, do you talk to people that are
kind of worried about their, their, their jobs
and their careers and, and AI, or is everyone
more like relaxed and calm? Like, yeah, you know,
this is just a tool that I'm using. Yeah. It's,
I think it's really hard for like us in our roles
because we live in AI, we live and breathe it.
But I think, yeah, I get there. There is a definitely
a fear out there. Like what, what is the future
going to hold? And. at least right now where
I'm at, like, I can't tell you like what two
years, what two years is going to look like from
here, but I don't know. Like if, if we kind of
like look back at history a lot, like let's take,
for instance, like when, when the internet really
started to take hold, like everyone is like,
we're going to lose our job. The internet's going
to replace everything. And what actually happened
was like, we learned to evolve and we started
digital businesses and stuff like that. yes i
think there is a there is a fear out there because
we still don't know like this ai like is a complete
revolution but i think what we will start seeing
is like ai being like you said like an assistant
helping helping the human and i think we'll just
kind of evolve with how we work with that like
it ai has definitely changed my life like honestly
i could not like see myself working without copilot
because it's it's so helpful but like i'll give
you an example like um uh i was I was working
with some executives a couple days ago, and we
were kind of showcasing this really cool agent
inside of Excel. And I think a lot of people
think when we talk about agents, we think, oh,
an agent inside of Copilot. And yes, that's a
place where agents live, but agents can reside
in a lot of different areas like Excel. And we
were kind of showcasing the power of agent mode.
And if you're not familiar with agent mode, what
it is, you did a really great video on it. It's
an agent that's embedded directly in Excel that
has like really, it's like almost like a data
scientist at your fingertips. It has like, could
do backend Python code and really complex formulas.
But what we did is we kind of took this scenario
like, hey, my CFO needs a Q2 analysis of this
thing. And we had all this raw data and I'm like,
hey, I need a data scientist to take a look at
this. And I gave it to my data scientist and
she kind of, She opened up Alpha's agent mode
and she put in like six prompts and she turned
this raw data into like all of these cool insights.
She's like created a dashboard, an SBAR report.
She even created like a what if scenario dashboard
for the CFO. And it looked really cool. But the
thing I really took away from that is. Back to
your idea of fear is, I don't think AI is going
to fully replace the human because with that
data scientist, yes, that data scientist knows
how to create all of those really cool dashboards
and all of these cool pie charts and stuff like
that. But the thing that Copilot did is... She
knew how to create all that, but she also knew
how to prompt co -pilot. So we didn't degrade
her role. She, we just, we kind of reframed of
how she works with the data where instead of
trying to take hours upon hours of creating all
this cool content, she knows she, she knew what
she wanted out of that content and was able to
use natural language to get the agent to do that.
So I think there's that data scientists, it was
important that. You know, she knows what she's
trained to understand the data and understand
what she wants out of it. And then she articulate
that to an agent, to an assistant, to be able
to pull that out. And for that, it's, she saved
hours to know. So now like she can do so much
more with that time, maybe another analyst of
another document or something like that. But
I think that's where I really see like AI still
being an assistant to human. Like there could
be. areas where we fully automate things. But
I think for a lot of things, I don't think AI
is really to the point where it replaces everything
that a human can do, but it's going to assist
that human to make them more productive. Yeah.
And I love that example. I actually, you're right,
I did some content, the video on agent mode in
Excel, and I'm very impressed with agent mode
because up until agent mode came out inside Excel,
Word, and PowerPoint, Copilot would tell you,
give you instructions. Like it would say, click
here and go to this menu item and copy and paste
this. And I was like. geez like just do it you
know like i i don't know like because some people
like they use excel and they use word and powerpoint
and they're masters at it right they know like
keyboard shortcuts and they're just like wizards
inside these applications i'm not like maybe
i do presentation maybe i do this and that but
i don't know every single feature in these applications
even though i work for microsoft that's right
right so i don't But, like, agent mode, it's
kind of like you don't need to, right? You just
tell it what you want. Create a chart for me.
Do a bar graph. You know, format this column
in this fashion. And it does it for you. You
don't have to know where all the features are,
right? So, yeah, I often call agent mode. I like
to call it vibe coding, essentially, in Excel.
Because you just do it in natural language. have
it do something. I think that's a really good
example of what agent mode is like by coding
directly in Excel. Yeah, no, that's awesome.
And I think back to your point, like I also look
at AI and all these different technologies as
tools. I create my video thumbnails sometimes
using open AI. There's all kinds of use cases
that I have for AI, but now I don't have to be
like a graphic artist to create the perfect thumbnail
for a video or know every feature inside Excel.
I can use this assistant, to your point, to help
me, right? And so for those reasons, I'm also
not fearful of AI and replacing jobs. I'm excited
that... I now have access to a tool that can
help me, whereas before I would have to call
someone or hire a professional to help me. Are
you familiar with, what is it called, just -in
-time manufacturing, Jim? Are you familiar with
that concept? I'm guessing. where you order something
and it's not made yet and they build it for you,
something like that? Yeah, pretty much. Apple's
a really good example of this, where they kind
of, just now in manufacturing, is the idea of
you're ordering and building the stuff just in
time, where it's not like you're ordering all
this stuff and keeping it on a shelf and have
to pay for all that stuff. I kind of, when I
first joined Microsoft, I kind of, I don't think
I coined this term, I think I heard it somewhere,
but I've used AI in... I call it just -in -time
learning. I think I picked this up from someone
else. When I first joined Microsoft, I was an
MDM guy. I worked with Intune, Jamf, Workspace
ONE, and stuff like that. Then I got hired in
as a Teams SE, or TS at that time it was called.
I'm like, oh man, they're taking an MDM guy and
making me a collaborative guy. Eventually, they...
they molded into that what we call now are they
the co -pilot se but uh when i when i joined
myself like i've got to learn so much in a very
little time. And AI was such a powerful tool
for me because I was able to like use tools like
researcher and stuff like that to like really
quickly learn things like just in time learning.
And I think like back to that fear thing, like
sure there's some fear, but there's a lot of
really cool advantages that we can take. And
I think as we evolve and kind of figure out where
AI is going to live with humans and all of that.
Things like being able to use AI to quickly learn
and catch up and stuff like that is going to
be super important. And I could see, you know,
future students and stuff like that, really leveraging
those type of tools to be able to learn quickly
and evolve and, you know, get new jobs that.
They have to learn a whole bunch of stuff in
like me. But, you know, I think that's a really
powerful way of using AI that's, you know, if
we're fearful of it, look at ways to really take
advantage of it and evolve yourself to learn
new skills and so forth. Exactly. And that's
the other thing, right? Like if you can create
automation or do something faster because now
you have this powerful tool. That doesn't mean
that you can take that half an hour saved. I
mean, it can, but it doesn't necessarily mean
you go to sleep or take a nap or whatever, extend
your lunch by an hour. You could, once for a
moment, get an extra half hour, just breathe.
You could then up -level yourself, listen to
a podcast, go watch a video. You know, go go
read a blog post somewhere that helps you get
up to speed and educated on something. So there
are proactive things that you can do to continue
to kind of build yourself. So so, yeah, like
it saves you time and it just it's kind of up
to you, like how you end up spending that time
that you just saved with this new assistant.
This also reminds me like actually tomorrow morning,
I have a customer presentation where I'm talking
to this leadership team that is in charge of
cloud ops or cloud operations. And I'm talking
about agents and I don't know much about cloud
ops. And I've never been in that side of the
business. Right. So this is an example of where
I want to be able to relate to my customers.
So I'm going to use Copilot to ask it. Hey, if
I'm talking to a team that's focused on cloud
ops, what are some types of workflows that they
have that I can help them automate? And so that
would be something that would be a lot more difficult
for me to find that information on before. But
now I can just ask Copilot and it will probably
give me some good examples. I really like that.
Actually, man, one of the things I've started
to do recently, like I've always known this is
there, but like. Just recently, I really started
taking advantage of because I've been in a couple
executives meetings and some of them are pretty
large. So I'm like, I'm just like nervous. Like,
is this the right like when you talk to executives,
their minds are different. Like they just the
way that they think and stuff like that is just.
is is a lot different and so one of the things
one of the recent things i've been doing kind
of like what you're doing with your cloud ops
is like i'd had a powerpoint or i had like a
talk track i was thinking about and i would dump
it into copilot and i'd frame copilot like hey
i'm going to an executive meeting so i need you
to think like an executive and like analyze this
this powerpoint is am i in track and a copilot
or or whatever ai tool that you use it's it's
really cool to be able to like It can help you
get a different perspective. And like a lot of
times it'll like help me like, Hey, you, you
had this question or you had this title on this
slide. think about it this way and maybe this
is a better way to word it to really get that
impact. So I was using AI to get different perspective
based on like the meeting you're going into,
the people that you're talking to. I was working
with a customer a few months ago and one of the
really interesting ways they use Copilot was
they were kind of like in a, they were doing
some negotiations with the vendor and they were
just in a mind block. They couldn't get past
anything. So they actually opened up Copilot
and said, hey, I want you to act as this vendor.
Here's all the contacts. just going to have a
back and forth and your job here is to kind of
help me negotiate this and get me past my brain
block. And I'm like, that was a really interesting
way of using Copilot to kind of like get a different
perspective on things. And I think that's one
of the really cool ways of that I found recently
of just using AI. Exactly. And I think part of
it is people are still learning all the different
ways to use it. And even going back to what you
said, like the prompts and prompt engineering,
which was talked about a lot when AI came forth.
A lot of people are still might be stuck at that
stage. Like what, what is the art of the possible?
What can I do? What do I type? And we, we have
like different tools to show people. And there's
even something called the prompt coach. Now that
you can type in an initial prompt and the prompt
coach expands that prompt and puts additional
instructions in there. So, and then you can take
that and feed it back into Copilot. So some of
that stuff is. starting to improve people are
getting to understand more use cases and there's
more agents that are like specific being built
for people but there's still a lot of people
that are starting to learn the basics if you
will and i think over time um you know people
will be more comfortable and all the different
use cases it sounds weird but um This is, this
is a way that I, so Microsoft, we have like a
four pillar of the prompt ingredients. And this
is how I always remember it. Drafts can see everything.
And it sounds really weird, but draft stands
for G goal. So like, what goal do you want? So
these are like the ingredients, like when you're
building a prompt, think about these four things.
Drafts can see everything. Goal, context, source,
and expectations. That's how I remember that
one. But whenever like building your prompt out,
I think, I think a lot of people are still. you
know, building out their, their prompting skills
and learning how to interact with AI. You know,
look at your goal, the context, the source, like
add in things and your expectations, what you
want out of the output in there. But you know,
that's, I've, I've been, I've been educating
that a lot. But I think one of the most powerful
ways when we kind of like think about prompting,
I think AI has gotten to the point where it's
actually really, really good at understanding.
the intent of the user. I think there's still
times where you want to make sure that you're
abiding by those prompting gradients of goal,
context, sources, expectations. But some of the
ways that I've built some prompts or just gotten
stuff out of there is just brain dump into Copilot
or brain dump into your AI. And I think just
naturally, I've kind of abided a lot of the way
that I brain dump kind of goes into that stuff.
But, you know, just brain dump in there and you'll
be, a lot of times you'll just be surprised how
well an AI system can understand that. then i
think one of the more important pieces is when
you do that it's like no whatever ai you're in
it's it's don't stop at like don't stop at the
first thing like a lot i think a lot of users
will put their prompt in they get the output
they don't like it and they just stop um continue
like collaborating with your ai like if you if
you miss the source or you mix or you didn't
add the right context to it add it in the next
prompt in line with that conversation because
all the ais have a memory so they have a memory
of that conversation so as you continue to talk
to it it can continue to get the right output
that you want. I think a lot of people miss that.
So like, um, if you don't like, I always say
like, if you don't like it, try, try again, keep,
keep working in line with that until you get,
until you get to the. To the prompt or the output
that you want. Exactly. And that's kind of me,
actually. Like, I don't remember that one sentence
that you just shared. Like, I don't remember
all the different parts of the prompt. So a lot
of times I give it what I think it needs. And
if it's not quite right, I keep adding to it
and keep adding to it until, to your point, it
gets it right. And one of my coworkers actually
said that eventually when, if I've done like
a lot of back and forth, I might come back to...
co -pilot or AI at the end of it and say, give
me the one prompt that would have gotten me to
where we've gotten to at this point. And then
the AI goes back and just generates like a two
or three sentence prompt. Yeah, I've done that
before. Yeah, that should have been what you
put in the beginning, you know. Based on everything
we've talked about so far, create a prompt for
this whole conversation. Exactly, right? So then
you can like... Copy and paste that or bookmark
it and reuse it next time. Save that to your
prom gallery. There you go. That's right. Now,
one thing I'm curious what your thoughts are
on this. This is from my personal experience.
So a lot of times when I'm creating a video,
I go to ChatGPT and I ask it like, hey, I'm creating
a video about this. What's a good title for the
video? And it'll give me like a bunch of titles.
It'll give me some ideas, right? And on that
particular day, I settle on one of them and I'm
like, okay, this is good. I'm going to keep it.
And then like a day or two later, I'm like, ah,
I don't really like it. I go back to that same
chat and I'm like, well, you know what? I don't
really, you know, what about this one instead?
Where I'm going with this is like, sometimes
I feel like AI is just very agreeable. Like when
I, when I, when I say to it, like, okay, this
is great. And it's like, and it comes back in
on the first day and it's like, yeah, let's lock
it in. You're good to go. Then the next day I'm
like, well, you know what, what about this? And
you're like, oh yeah, the old one sucks. You
know, like, I'm like, what? You told me the old
one was great. Now you're telling me it sucks.
And you know, so like, I'm like. So I feel like
it's just like very agreeable and it can like
agree with anything that you say. So have you
run into something like that before? Yeah, absolutely.
All the time. Sometimes I specifically have to
like frame or like tell the AI like. No fluff,
like be real or something like that. Actually
fun. I built an agent just for this. Like I built
an agent that helped me rewrite stuff. And inside
of the agent, I specifically put instructions
where like, I don't want you to agree with me
or anything like that. Or cause I'll have it
rewrite stuff or help me get new perspective.
So I like built it in agents just so that I,
it wouldn't give me fluff. But actually one of
the things I've done that I think I wouldn't
say it has a hundred percent help, but has slimmed
down a little bit. I've actually. gone through
the copilot personalization stuff so I kind of
and inside of that copilot personalization you
know when you go to settings and personalize
and edit custom instructions inside of my custom
instructions I put some of those areas where
I don't want it to like be totally agreeable
with me and stuff like that doesn't work 100
% of the time but I have noticed it's been a
lot better but yeah I run into that a lot exactly
yeah it's like talking to my mom you know she's
very supportive just tell me the truth I can
almost, like, hear the AI just saying, like,
you can't handle the troops. Exactly. So, yeah,
so that's one of the things that I run into.
Maybe all that will get better over time as well.
I think OpenAI's 5 .2 has done a good job of
that. I think it's been less, like, super positive
mom a little bit. But, yeah, I think they'll
continue to get better because I think that's
probably one of the bigger things a lot of people
run into. Okay. Yeah, I hope that improves. The
other thing that you mentioned before we started
this podcast was. You were talking about how
we have with Copilot, especially in studio when
you're building agents, we have access to different
large language models. You can kind of go to
this dropdown. And even in different places inside
Excel, you can say, hey, I want to use OpenAI
GPT -5 too, or I want to use Anthropix Cloud,
or I want to use other models that might be coming
in the future, right? So I think that's kind
of cool. And I'm wondering if you are experiencing...
kind of like different bang for your buck right
as you as you try these models or if you're just
settling on auto or what your experience is on
that side One of the things I've noticed is Anthropic's
been getting a lot of, a lot of, a lot of people
are really interested in what Anthropic's doing
in Claude. And so I've been seeing like a lot
of like on TikTok and YouTube and all that, all
these people like inserting the Claude add -in
in Excel to do all this cool stuff. Because Claude's
really good at kind of understanding structured
data, which is why it makes sense to do it in
Excel and PowerPoint and stuff like that. Um,
and I think one of the cool things with Copilot
is, um, I think one of the, a lot of the value
that Copilot brings is, uh, what Microsoft is
doing is we're kind of being, um, kind of multimodal
where, um, you, we, we, we're giving users and
organizations choice in the, in the type of models
that they use. So like by default, you know,
we use open AI models, but you also have the
choice now to use Anthropix cloud models. And
like back to that agent mode, like if I was to
do that, like kind of the whole demo again, like.
You could choose if you want to use OpenAI or
Anthropic to do all of this cool stuff in Excel.
And I think that's really powerful. And then
you can also do that in like Copilot Studio where
you can have all these different models that
are, you know. I think that have different strengths.
So like if we're doing something in Excel, like
I want to use Anthropic because it's just better
at understanding structured data at this moment
in time. Like I think LLMs are so up and down
of who's high, who's low and stuff like that.
But I think that's one of the things I've enjoyed
at Microsoft. And I think some of our customers
are kind of like understanding like, hey, there's
options with Copilot. We've got a multimodal
option to pick whichever one's going to be best
for me because I think especially like everybody
wants to use Cloud. It's like, oh, I can use
it. I did not know that. It's like, yes, absolutely.
Yeah. I like that. Right. The way you put it
like multimodal and you can bring in your own
large language model of choice, even different
versions, you know, like four to five to deep,
deep reasoning, quick response, uh, anthropic
open AI. And there's rumors of other ones coming.
Right. So it's like. You still have the application
and you have Copilot in there and then you are
not locked into any LLM. You can use the one
that you prefer or even set it to auto and then
it decides. And I think to your point, they're
all kind of like good at something, better at
something than others. So like, for example,
when I use OpenAI, back to the video stuff. I
think it does a really good job on the pictures,
you know, because I get help on the thumbnails
and it does a very good job because when I give
the same prompt to like Gemini and these are
both the free versions, by the way. So I know
maybe the, you know, the paid versions do a better
job. But like Gemini doesn't do that good of
a good of a job with the pictures as as OpenAI
does. Right. So like they're all good at something
versus another. Yeah, I would agree with that.
i remember it was christmas time uh and i saw
like on tiktok some kind of prompt where you
can like take a picture and turn it into something
i forget the name but it was like uh some kind
of like artist like profile like uh something
like uh from like the 1900s and i'm like i put
it in the gemini because at the time i was i
was i was working with gemini because it was
super cool and it's still get a lot of like eyes
on it but and it just didn't work out and then
i put it in chachi bt and like it worked flawlessly
so yeah i think that's that's the you're gonna
i think that's uh the thing we see in the industry
is like All these different large language models
have a lot of different strengths and weaknesses.
Some are better than others and stuff like that,
but it goes up and down so, so much. And by the
way, just thinking about the different strategies
that these companies have, like Microsoft, Google
with Gemini, Anthropic with cloud, OpenAI, and
even Apple with all the hardware products that
they have, right? Their phones and laptops and
everything that they can put Apple intelligence
in. It's kind of interesting, right? Microsoft
is more of this partnership with all these LLMs
and they don't necessarily have their own large
language model, but they have Copilot that's
using them on the backend. And then, you know,
I think Apple is supposed to partner with Google
or Gemini in the future. So they all have their
own. And then there's the creators of these large
language models, even Grok by XAI, right? So
there's all these different companies and strategies
and Anthropic. comes the other way right they're
like we have our own ai and we're gonna have
hooks into the microsoft product so you know
you can add you know put the ad into excel and
then we're like well why put the ad into excel
when you can just select cloud as as the option
inside agent mode or co -pilot so everyone's
kind of coming at this in different directions
and it's going to be very interesting like what
is the better strategy or the model or is all
of the above Is all of the above going to work
anyways, right? I think the big thing is, to
me, which AI do I choose? If you're coming from
a personal side of things, you've got so many
choices. When you look at the work side of things,
it becomes a little bit more difficult because,
to me, where Copilot makes a lot of sense. is
like when you start with an AI, like you're starting
fresh, like the AI knows nothing about you and
you have to build that kind of relationship and
memory versus like Copilot. I think that the
immediate value a lot of organizations get is
like. say you've been at the organization for
two, five, 10, 20 years or so, like it has all
of that backend history about you and can like
correlate the relationship between your data,
your history at the company and what you're looking
to get out of whatever you're looking for or
prompting against. I think that is a big value
that having some of that immediate like history
and that work data. So you don't have to like
start fresh with a new AI, even though like there's
connectors into like Microsoft and stuff like
that. You know, there's, it's just, it's, it's
not the same as having like that direct pipe
into the Microsoft graph and stuff like that.
That's true. That's, that's a good point. So.
there's different terminologies for that on the
technical side right it was in the beginning
Microsoft used like the semantic index and now
it's like work IQ and like there's all these
different terms that basically say that we know
about you about your job about your work history
so the context of the response from Copilot is
going to be more relevant because of all this
information that we have sometimes I wish like
there was a reset button though like I don't
want it to know anything about me but it's cool
i mean like you see like like gemini is doing
the same thing like They see the power of like,
you know, you can add on all your personalization
into Gemini now from the consumer side of things,
like all your YouTube history, all your Gmail
workspace and all that. Like Gemini is doing
the same thing on a personal level. I'm sure
they're doing that. I haven't tested on the enterprise
side of things, but I'm sure it's there as well.
But I think users are seeing the value of having
some of that history and context as part of their
AI instead of trying to build that out over a
span of many months or years or sometimes. And
I think there's just a lot of value. having access
to some of that work data and to be able to like
i i will like one of the things i do a lot is
um i actually have an automation setup with copilot
so every morning i have it automated so at 8
a .m it gives it does a kickoff prompt and it
like Tells me all the things I need to catch
up on, prioritize in my outlook and stuff like
that. And I see that every day. And that's all
like tied to my work data and stuff like that.
And I think that's a, for me, that's like eliminates
30 minutes out of my morning. Oh, that's awesome.
That's a great idea. Yeah. And you know, like
there's so many ways to create these automation.
Like there's maybe like you're using a scheduled
prompt or there's like the workflows agent or
there's agent builder. Because I just, I try
to explain to people like, You know, there are
some simple things you can do. I think now you
can even go back to a prompt that you typed into
chat and like right click on it and create an
agent out of it. Right. So there's like, yeah.
So there's like some simple things you do before
you get into some of the more powerful tools
like studio and whatnot. Like, and I think that
one, that 8am workday thing, that's, that's a
cool way to start using AI. Yeah, I'm just still
talking to Copilot a lot. I've used the speak
button. I do that a lot. I've been doing that
a lot as well. So that's, yeah. So I used to
talk to ChatGPT all the time. I would open up.
So instead of using Siri, I've actually, I have
the, I had the 15 Pro and I have the 17 Pro Max
and it has the action button on it. So you can
map it to a specific action. And at that time,
ChatGPT, Gemini, and even like the consumer Copilot,
all you can build a Siri shortcut to like open
it up that. So instead of using Siri, because.
As of right now, until they get Gemini's backend,
I'm like, it's honestly pretty dumb. So I mapped
out like ChatGP or Copilot and I would just use
that as my AI assistant, hit the action button
and I talked to it and it was great. It was awesome.
I still do it today. That's cool. Yeah, my action
button on my phone is, it plays this music playlist
that I have because I listen to music all the
time. So the first thing I wake up, when I wake
up is like, I listen to music. all the way until
like when I'm going to bed basically, right?
But I like yours. Yours is much more productive.
So the audience, if you've got a 15 Pro or higher,
play around that action button. There's some
really cool stuff that you can do to it. That's
nice, man. So I think this has been a great conversation.
Thanks for kind of... sharing all your your ideas
and your thoughts and um i guess i'll just end
with one question which is not even necessarily
related to all of this and you know in the beginning
you brought up that you have or you had a YouTube
channel. So how's that going? Are you working
on that? Are you going to go back to it? Yeah,
it's still active. I still post a couple of things.
I've been, but I've actually, when I first joined
Microsoft, one of the things that they quickly
got me on because they noticed, hey, you do videos.
So I actually make videos on the Microsoft's
HLS YouTube channel. So you'll see me there.
And then I'm also, I try to keep my channel up
to date. Like one of the things that, In the
coming weeks, I'm going to post out is I've been
at Microsoft for a year and a half. So it's I'm
going to make a video on. 10 things I've learned
at Microsoft since being here for over a year.
Because I think there's, when I first joined
Microsoft, it's a really cool company to work
for. And I've learned so much in my first year.
And so I wanted to kind of share that with the
world. But yeah, I try to keep both of them balanced.
But a lot of my time has been spent on the Microsoft's
HLS YouTube channel. So you'll see me there a
lot. That sounds good. So I'll put that. hls
youtube and maybe your other one to your personal
one i'll put both of them in the description
of this podcast for anyone that wants to check
out michael because he has a you know obviously
he's a great speaker but he also has an awesome
setup with the lighting and your background so
you guys can see a real youtuber hey guys 30
hue bulbs in my in my office here so i spent
a lot of money at best buy that's awesome so
michael thanks again man i really really appreciate
it Awesome. So we'll catch you around. Thanks,
David.