AI & Jobs, Best Models & Productivity Tips with Michael Goad - Copilot Solutions Engineer at Microsoft

0:00You're listening to a podcast right now, driving, working out, walking the dog. If you're in a podcast, chances are you have something to say too. With RSS.com, starting your own podcast is free and easy. Upload an episode and we distribute it to Apple Podcasts, Spotify, Amazon Music, and more. Track your listeners, see where they're from, and start earning from ads just like this. If you've been thinking about starting a podcast, this is your sign. Or your new podcast for free today at RSS.com. Finding a hoodie that lasts through the season can be tough. The American Giant Classic Fools' Epooty is made to last a lifetime, so you can count on it year after year. The iconic Classic Fools' Epooty is the jacket that started it all for American Giant, custom heavyweight fleece and side panels for mobility make it the best hoodie ever. Every American Giant piece is made in America and designed to last. No exceptions. The result is durable clothing, like the premium Slub Crew T, no BS high-rise pant, and

1:00slim rough neck pant that become part of your life. Snag the hoodie that will bring you comfort for life. The American Giant Classic Fools' Epooty. Save 20% off your first order at american-giant.com when you use code staple20 at checkout. Hey, everyone. Today I have a very special guest from Microsoft. Michael Goad, who is a systems or solutions engineer, I would say systems engineer. Yeah, I appreciate it. Thank you very much for having me here. Man, I remember I've been at Microsoft for a year and a half now, and I remember meeting you early on when I first joined Microsoft because you kind of reached out to me. Notice we all had a YouTube channel and kind of started talking about our YouTube channels and stuff like that. But I've been with Microsoft a year and a half. I'm a solution engineer. Thank you just mention. But I work on our HLS size, 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's the LS for?

2:02Health care life sciences. That used to be with United Healthcare at one point in time. Now I'm with Blue Shield of California. Blue Shields, yeah. Yeah, I'm sure. Go see that. 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 a world, it's open to whatever we want to speak about. You know, a lot of times when I use AI, I'm like, okay, well, it's giving me a good response or it's not giving me a good response. But like, what I do isn't like, super mission critical. I'm not dealing with people's lives, 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 you have to factor in the security, you know, making sure everything your data is

3:03secure and encrypted and things like, hippocomplines come into play. I think that, 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? What, and how do I govern this from an administration side? Because I think any, 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 want to then 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 healthcare.

4:07That makes sense. And, you know, when you, as you were speaking, I remember like, hippocomplines is a big one. Right. 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, you know, understanding what is a good prompt, what comes into, you know, the different ingredients that make up a good prompt and then others are trying to figure out things like agents and so forth. I've, in healthcare, I've actually seen some really cool things with people kind of experimenting with the agents. When an organization allows, you know, agent creation, especially like within co-pilot,

5:09you can really, it's really easy. I think you've done some really great videos on YouTube where kind of showcasing how easy it is to create an agent directly within the co-pilot 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 today, I went to, I was at a customer on site and I couldn't remember like, how much, how much is it, when do I need a receipt, what's the, like, what's the dollar value that I need to 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 the parental leave or what are my insurance benefits? I've seen a lot of those.

6:10Yeah, no, that's, 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 co-pilot and it's, 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 you, everyone's seeing this. There's such fear about AI and I 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,

7:10you 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 and 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 track, 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 has been nine. Now, what's going to happen five or 10 or 15 or 20 years from now? Who knows, right? Like, yeah. I wonder like, do you talk to people that are kind of worried about their jobs and their careers and an AI or is everyone more like relaxed and calm? Like, yeah, you know, this is just a tool that I'm using.

8:13Yeah, it's, I think it's really hard for like us in our roles because we live in AI, say, 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 the internet really started to take hold, like everyone is like, we're going to lose our job. The internet is going to replace everything. And what actually happened was like, we learn to evolve and we started digital businesses and stuff like that. So yes, I think there is a, there is a fear out there because we still don't know, like this AI 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 AI has definitely changed my life. Like honestly, I could not like see myself working without Copa

9:14because it's, it's so helpful. But like I'll give you an example. Like I was, I was working on some, 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 Copa Island. And yes, that's her, that's a place where agents live. But like 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, it's an agent that's embedded directly in Excel that has like really, it's like almost like a data scientist at your, at your fingertips. It has like, could you back in 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, 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.

10:17And I gave it to my data scientist. And she kind of, she opened up office 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 and that's by report. She even created like a what if scenario dashboard for the CFO. And it, you're listening to a podcast right now driving, working out, walking the dog. If you're in a podcast, chances are you have something to say too with RSS.com, starting your own podcast is free and easy. Upload an episode and we distributed to Apple podcasts, Spotify, Amazon music and more. Track your listeners, see where they're from and start earning from ads just like this. If you've been thinking about starting a podcast, this is your sign. Start your new podcast for free today at RSS.com. Finding a hoodie that lasts through the season can be tough. The American giant classic full zip hoodie is made to last a lifetime. So you can count on it year after year. The iconic classic full zip hoodie is the jacket that started it all for American

11:18giant custom heavyweight fleece inside panels for mobility. Make it the best hoodie ever. Every American giant piece is made in America and designed to last. No exceptions. The result is durable clothing like the premium slub crew tea, no BS high rise pant and slim rough neck pant that become part of your life. Snag the hoodie that will bring you comfort for life. The American giant classic full zip safe 20% off your first order at American dash giant.com when you use code staple 20 at checkout. It's really cool. But the thing I really took away from that is back to your like idea of fear is, I don't think AI is going to like fully replace the human because with that data scientists, 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 that that co-pilot did is she knew how to create all that, but she also knew how to prompt co-pilot. So we didn't really degrade her role. She we just we kind of reframed of how she works with the data.

12:20We're instead of trying to take hours upon hours of creating all this cool content. She knows 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 our place is 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 and Excel. And I'm very impressed with agent mode because up until agent mode

13:25came out inside Excel, ward 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 don't know, like, because some people like they use Excel and they use ward 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. I don't, but like agent mode is kind of like, you don't need to, right? You just, you just tell it what you want, create a chart for me, do a bar graph, you know, format this, call them in this fashion and it does it for you. You don't have to know where are, you know, where all the features are, right? So, yeah, I often call, yeah, I call agent mode. I like to call it vibe coding, essentially in Excel, because you just, you do in natural language that have it do something.

14:28I think that's a really good example of what agent mode is like vibe 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 thumbnail 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 no, every feature inside Excel, I can use this assistant to your point to help to help me, right? And so for those reasons, I'm still, 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, you know, call someone or hire a professional to help me. Are you familiar with what is it called? Just in time manufacturing gym. Are you familiar with that concept?

15:32I'm guessing what you ordered something and it's not made yet and they build it for you something like that. Yeah, pretty much like apples are really good. Example of this where they kind of just not manufacture that is the idea of like you're you're ordering and building the stuff just in time where it's not like you're already know the stuff and keep it in the 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 Justin Timelurney. And I think I picked this up from someone else. But when I first joined Microsoft, like, I was an MDM guy. Like I got, I did, I worked with Intune Jam, Workspace One and stuff like that. And then I got hired in as a Teams SE or TS at that time. I was called and I'm like, Oh, man, they're making me, 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 when I when I joined Microsoft, 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

16:37tools like researcher and stuff like that to like really quickly learn things like Justin Timelurney. 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 and 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. I hope one just stuff in like me. But I think that's a really powerful way of using AI that's, you know, for 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 save. Then I mean,

17:43it can, but it doesn't necessarily mean you go go to sleep or take a nap or whatever extend your lunch by now or you could once true a moment, you know, 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 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?

18:44So this is an example of where I want to be able to relate to my customer. 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 it because I've been in a couple of executives means and some of them are pretty large. So I'm like, you know, just like nervous like, and is this the right like when you talk to executives, their minds are different. Like they're just the way that they think and stuff like that is just is 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 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

19:46an executive meeting. So I need you to think like an executive and like analyze this this PowerPoint is it am I in track? And Copilot 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 at you had this question, 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 meaning you're going into the people that you're talking to. I was working with a customer a few months ago and 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 in a mind block. They couldn't get past anything. So they actually opened up kind of Copilot said, Hey, I want you to act as this vendor. Here's all the contacts. And we're just going to have it back and forth in your in 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

20:49one of the really cool ways of that I found recently. I've just used an 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 for a lot of people that are still might. You're listening to a podcast right now driving, working out, walking the dog. If you're in a podcast, chances are you have something to say too with rss.com starting your own podcast is free and easy upload an episode and we distributed to Apple podcasts, Spotify, Amazon music and more. Track your listeners, see where they're from and start earning from ads just like this. If you've been thinking about starting a podcast, this is your sign. Start your new podcast for free today at rss.com. We stuck at that stage like what what is the art of the possible? What can I do? What do I type? And we have like different tools to show people and there's even something called the prompt

21:52coach 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, people will be more comfortable than all the different use cases. It sounds weird, but this is this is a way that 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 you remember that one. But when you're building your prompt out, I think a lot of people

22:56are still building out their prompting skills and learning how to interact with AI. Look at your goal, the context, the source, add in things and your expectations, what you want out at the output in there. But 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 greetings 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 co-pilot or brain dump into your AI. And I think on 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, there's brain dump in there and you'll be, a lot of times you just be surprised how well an AI system can understand that. And 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 don't stop at like, don't stop at the first thing. Like a lot,

24:00I think a lot of users will put their prompt in to get the output, they don't like it and they just stop. Continue like collaborative 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. And I think a lot of people miss that. So like, if you don't like, I always say like, if you don't like it, try, try again, keep working in line with that until you get to the, to the prompt of the output that you want. Exactly. And that's kind of me actually, like I don't remember that, 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 two to point, it gets a 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

25:03say, give me the one prompt that would have gotten, 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 don't have a four. 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. Say that to your prompt 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 chat GPT 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.

26:07And I'm like, well, you know, I don't really, you know, what about this one instead? And where I'm going with this is like, sometimes I feel like AI is just very agreeable. Like 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? You're like, oh, yeah, the old one sucks. You know, I'm 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 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 it 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 because I'll have it rewrite stuff or help me get new perspective. So I like built it. And agents just so that I wouldn't

27:11give 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 slim down a little bit. I've actually gone through the co-pilot personalization stuff. So I kind of, and inside of that co-pilot 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 percent of time, but I've have noticed it's been a lot better. But yeah, I run to it into that a lot. Exactly. Yeah. It's like talking to my mom, you know, she's very supportive. Hey, hey, hey, just tell me the truth. I can almost like hear the AI just saying like, you can handle the truth. Exactly. So yeah. So that's one of the things that I run into. Maybe all that will get better over time as well. Cool. I think I open AI's 5.2. It's done a good job of that. I think it's been less like super positive mom a little bit. But yeah, I think that I'll think they'll continue to get better because I think that's probably one

28:11of the bigger things a lot of people run into. Okay. Yeah. I hope, 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 co-pilot, especially in studio when you're building agents, we have access to different large language models. You can kind of go to this drop down and even in different places inside Excel, you can say, hey, I want to use open AI GPT-5 too or I want to use Anthropics 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 like if you are experiencing kind of like different bank 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 Anthropics have been getting a lot of a lot of people are really interested in what Anthropics doing in cloud. And so I've been seeing like a lot of like I'm TikTok and YouTube and all that. All these people like inserting the at the cloud,

29:12adding in Excel to do all this cool stuff because cloud is 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. And I think one of the cool things with co-pilot is I think one of the a lot of the value that co-pilot brings is what Microsoft is doing is we're kind of being a kind of multimodal where we're giving users and organizations choice in the in the type of models to the use. So like by default, you know, we use open AI models, but you also have the choice now to use Anthropics Cloud models. And like back to that agent mode, like if I was to do that, like kind of to hold demo again, like you could choose if you want to use open AI 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 co-pilot 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 Anthropics because it's just better at understanding structure data at this moment in time. Like I think LLAMs are so up and down of who's who's high, who's low and stuff like that. But I think that's one of the things I've

30:16enjoyed at Microsoft. And I think some of our customers are kind of like understanding like, hey, there's options with co-pilot 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 directly in a co-pilot. 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 reasoning, quick response, Anthropic, open AI. And there's rumors of other ones coming, right? So it's like you still have the application and you have co-pilot 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, better at something than others. So like, for example, when I use open AI back to the video stuff,

31:18I 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 am maybe the, you know, the paid versions do a better job, but like Gemini doesn't do that good, good of a job with the pictures as opening AI does, right? So like, they're all good at something versus another. Yeah. I want to agree with that. I remember it was Christmas time 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. I was like some kind of like artists like profile like some like 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 of Gemini was super cool and it's still get a lot of like eyes on it, but and it just didn't work out. Then I put it in Chatsubiti and like it worked flawlessly. So yeah, I think that's, that's the, you're giving it. I think that's 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 at than others and stuff like that, but it goes up and down so, so much.

32:24And by the way, like just thinking about the different strategies that these companies have, like Microsoft, Google with Gemini, Anthropic with Cloud, OpenAI, like 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? Like Microsoft is more of this partnership with all these LLMs and they don't necessarily have their own large language model, but they have co-pilot 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 don't have their own and then there's the creators of these large language models, even even GROC 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 going to have hooks into the Microsoft product so, you know, you can add,

33:25you know, put the add into Excel and then we're like, well, why put the add into Excel when you can just select Cloud as the option inside age and motor 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, you know, is all of the above going to work anyways, right? So I think the big thing, like, is to me, like, which AI do I choose? Like, if you're coming from our personal side of things, like, you got so many choices. When you look at the work side of things, it comes a little bit more difficult because like, to me, like, where co-pilot 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 co-pilot. 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 back end history about you and can like correlate

34:30the relationship between your data, your history of the company and what you're looking to get out of whatever you're looking for or prompting again. So 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 not the same as having, like, that direct pipe into the Microsoft graph and stuff like that. That's true. That's a good point. So there's different terminologies 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 co-pilot 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,

35:32you see like, like, Gemini's doing the same thing. Like, they see the power of like, you know, you can, 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's 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, the value of, 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, like, having access to some of that work data and to be able to like, I will like, one of the things I do a lot is I actually have an automation setup with co-pilot. So every morning I have it automated. So at 8 AM, it gives, it does a kickoff prompt and it like tells me all the things I need to catch up on prioritize in my, in my outlook and stuff like that. And I see that every day. And that's all tied to my, to my work data and stuff like that. And I think that's it. For me, that's like, eliminates 30 minutes out of my morning. Oh, that's awesome. That's a great idea. Yeah. And,

36:36you 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 8 AM work day thing, that's, that's a cool way to start using AI. Yeah. So it's still talking to co-pilot a lot. I've used that the speak button. I do that a lot. I've done, I've been doing that a lot as well. So let's, yeah. So I used to talk to JTPT all the time. I would open up. So instead of using Siri, I have actually, I have the, I have 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

37:36at that time, Shavichi, Gemini and even like the consumer co-pilot, 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 back end, oh, I'm like, it's, it's honestly pretty dumb. So I, I mapped out like JTPT or co-pilot. 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, it was awesome. I still do it today. That's cool. Yeah. My, my action button on my phone is it, oh, it plays this music playlist that I have because I listen, 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 what I'm going to bed, basically, right? But, but I like yours. Yours is much more productive, happy and so fresh. Yeah. So the audience, if you got a 15 pro or higher, you can 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, this has been a great conversation. Thanks for kind of sharing all your, your ideas and your thoughts. And I guess I'll, I'll just end with one question,

38:41which 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, are you working on that or are you going to go back to it? Yeah, I, it's still active. I still post a couple of things. I've been, but I've actually, I've, 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 that I've learned at Microsoft since being here for over a year. And because I think there's, when I first joined Microsoft, there's, 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 world, but yeah, I try to keep both of them balanced, but a lot of my time has been sent on, spent on the Microsoft's HLS YouTube channel. So you'll

39:42see me there a lot. That sounds good. So I'll, 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, 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, so 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, Sherry. You're listening to a podcast right now driving, working out, walking the dog. If you're in a podcast, chances are you have something to say too with RSS.com, starting your own podcast is free and easy upload an episode and we distributed to Apple podcasts, Spotify, Amazon Music and more. Track your listeners, see where they're from and start earning from ads just like this. If you've been thinking about starting a podcast, this is your sign.

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