Ep 243: 5 Simple Ways To Use Generative AI Every Day

Leveraging the Power of Generative AI: 5 Simple Ways to Optimize Your Workday

In an era where businesses must stay at the forefront of technology, generative Artificial Intelligence (AI) seems to be paving the way. This venture into the realm of AI technology offers significant benefits, including incredible potential for automation, time management, and improved efficiency.

Transforming the Office with Microsoft 365 Copilot

Tools such as Microsoft 365 Copilot, available with the enterprise version of Microsoft 365 teams, have the power to revolutionize workflow. This AI-powered tool can assist in automating work, leaving more time for strategic decision-making.

Customizing the Learning Experience with AI Tools

Using Generative AI tools like Cast Magic or chat GPT to customize prompts for videos has the potential to save time and enhance retention rates. It allows for tailor-made learning experiences, ensuring that the information is accessible and absorbable to your workforce.

Making Research Efficient with Perplexity

Perplexity is a revolutionary tool for research that goes beyond the capabilities of regular search engines like Google. It offers the simplicity of generating results from simple prompts and can summarize data from up to 20 sources, delivering succinct and relevant content. This significantly reduces the time spent on research, giving you hours back into your workday.

Summarizing Documents with Microsoft Edge and Copilot Integration

Microsoft Edge possesses an additional boon – the compatibility with Chrome extensions, coupled with Copilot integration enables swift generation of document summaries and quick facts. This functionality ensures an increased understanding and accessibility of content, potentially saving considerable hours that would have otherwise been spent on manual summarization.

Harnessing the Power of Generative AI for Everyday Tasks

Speaking of daily tasks, Generative AI can effortlessly automate a large amount of daily manual tasks, potentially automating 60-70% of tasks. This technological leeway can result in significant time saved, contributing to increased productivity and efficiency. From reading through AI news headlines via chat GPT to generating content based on transcripts, Generative AI is proving to be a game-changer in modern business operations.

Preparing for the AI Future

As the fast-paced world of technology consistently evolves, businesses must be ready to adapt to thrive. Utilizing Generative AI in day-to-day operations isn't an isolated trend; it's indeed becoming the norm. Embracing the power and convenience of Generative AI can yield considerable benefits in the workplace, supporting the maximization of human potential and driving businesses into the future.

In an age driven by fast-growing technologies, efficiency is paramount. Generative AI offers a convenient, smart, and time-saving solution for today's businesses, irrespective of their size or sector. Leveraging this autonomous tool could be the key to thriving in this new era, setting a new standard for workplace efficiency and success.

Topics Covered in This Episode

1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks


Podcast Transcript

Jordan Wilson [00:00:17]:
I use generative AI at least a 100 times a day. I mean, it's 7:30 AM my local time, and I've already used it at least 50 times today. And some ways that I use generative AI are very complex, and some ways are extremely easy. And today, I'm gonna share 5 simple ways that I use generative AI every single day and how you should be using them too. Alright. I'm excited for this episode. What's going on y'all? My name is Jordan Wilson. I'm the host of Everyday AI, and Everyday AI is for you.

Jordan Wilson [00:00:56]:
It's your daily livestream, podcast, and free daily newsletter, helping everyday people like you and me not just learn generative AI, but how we can all actually use it. Yeah. And we're gonna be talking about 5 simple ways to actually use it today. But before we do, as we do every day, let's start off with the AI news. Alright. And you you know what? For all all of you joining live, you know, thank you, Rolando and Tara and Brian and and Jay and everyone else. I have a little poll for the AI news today. So as I read it, let me know if, what you guys think.

Jordan Wilson [00:01:30]:
Should I not read the AI news every day? Should I make the segment shorter? Is it the right length or longer? Just go ahead and drop that in as we go over the AI news for today. So, New York City's new AI powered chatbot is being criticized for dispensing misleading advice. Alright. So the AI powered chatbot created by the New York City, to assist small business owners is facing criticism for providing inaccurate and harmful advice, including misstating local policies and suggesting actions that could lead to legal violation. So despite acknowledging the chatbot errors, errors, New York City mayor Eric Adams has chosen to keep the tool on the official government website emphasizing the need to address technological challenges. Experts warn about the risk of deploying AI systems without proper oversight, highlighting the importance of implementing safeguards to prevent, to prevent incorrect information. Alright. Our next piece of AI news.

Jordan Wilson [00:02:31]:
We got 2 things from Google here. So number 1, Google has introduced AI powered reply suggestions in Gmail for Android users. So Google is reportedly developing a feature for Gemini advanced subscribers that will leverage the, Gemini Ultra AI model to suggest replies for emails in the Gmail app for Android. So if you're an Android user, you might not have to be spending time reading and replying. You might just be able to hit a button soon. So the AI tool is expected to save users time by providing custom reply suggestions based on the email content visible in a panel labeled reply suggestions from Gemini within the app. So while the plies may not fully utilize the generative AI capabilities of Gemini, they do or will offer quick and convenient responses directly above the text field, enhancing productivity. That's what gen AI is all about, right? Alright.

Jordan Wilson [00:03:25]:
Last but not least, this one's a big one y'all. This one could shake up SEO and how we use the Internet. Nothing new here but some of the first official reporting. So, Google is considered charging for premium AI features in search engine according to a Financial Times report. So, Google is reportedly contemplating offering premium AI powered search features through paid subscriptions, a significant shift from its ad funded model. Alright. So these new features could include AI generated answers and and snapshots, which are more resource intensive to provide than traditional search results. This move comes in response to the competitive threat foe, posed by both OpenAI's ChatGPT and Perplexity, which we talked about, in our AI in 5 on Monday, and it offers comprehensive answers without the need to click through on the links.

Jordan Wilson [00:04:16]:
Yeah. That kinda goes against their main business model. So as an example, Microsoft, through its partnership with OpenAI, has already integrated GPT powered search and chatbot features into Bing Copilot, but this has not significantly impacted Google's market dominance. So concerns have been raised about the potential impact on Google's ad business if AI generated answers reduce the need for users to visit advertisers' website. Yeah. We've talked about this many times here on the everyday AI show and, you know, talking about how these big companies are eventually going to have to shift their models. Right? So much of, you know, search engines clicks or their revenue come from ads. So as you see companies like perplexity, you you know, which we're actually gonna be talking about today, make that process so much easier, they're gonna have to figure out other ways to monetize, and it could just be paid subscriptions.

Jordan Wilson [00:05:05]:
Alright. Hey. Couple people, voted on the poll. So, you know, even if you're listening here on the podcast, let me know. Do you like the AI news every day? A lot of people do. But let's talk about actually using generative AI. Alright? And and and thank you all for the feedback. This is something that that we hear from people who read our newsletter, from from our livestream listeners, from from our podcast audience.

Jordan Wilson [00:05:33]:
Something we hear all the time is, hey, Jordan, you you know, learning a lot. This is great, but, you know, I want more ways, more practical ways, more easy ways, that I can start using generative AI in my day to day life. Alright. And and like I started off the top of the show saying, it's an understatement to say that I use generative AI at least a 100 times a day. I would venture to say most days it is 100 because I have, usually on my screen, multiple generative AI programs open at all times. I have Gen AI powered, Chrome extensions. I'm using it all day. Alright.

Jordan Wilson [00:06:12]:
So today I'm gonna share 5 very, very simple ways, that you can use these tactics too. And I do wanna point this out. These are simple ways. Right? I use generative AI in very complex ways every single day, you know, creating, pseudo agents, within large language models, You, leveraging automation, third party APIs. Very complex. Right? So I I just wanna put that out there. Right? Like, people are gonna be like, oh, Jordan. This is the simplest thing ever.

Jordan Wilson [00:06:42]:
That's the point. That's the point. So whether you are, you know, a gen AI expert or you are brand new and have never used it, I hope today's show gives you value. But the thing that I really wanted to start with is if you're a knowledge worker, you need to rethink how you work. Alright. So a knowledge worker is probably most of us, those who sit in front of the computer all day or most of the day, right, we are reading things on the Internet. We are researching. We are creating on the Internet, you know, documents, presentations, sales call, analyzing data, designing.

Jordan Wilson [00:07:17]:
Right? So if you spend the majority of your workday in front of a computer, you are a knowledge worker. You are being paid for your expertise in being able to take knowledge that, you know, you have read, you have learned, you have created previously, and applying it to new opportunities. That is what a knowledge worker is. That is what so many of us here in the US and so many people in our audience are doing. Right? So you need to rethink how you work, which I know sounds weird, but if you really want to survive and thrive in the age of AI, you need to drop good habits. Right? We always think about, you know, growing our company, growing our careers. You need to drop bad habits, but this is the opposite. And I know this is gonna sound weird, but I want us first before we get into these simple, you know, tips to use generative AI, you really have to change the way you think.

Jordan Wilson [00:08:18]:
You have to drop good habits that have maybe led to your company or career growth. Because what we do as a knowledge worker, maybe the reason that that you've been promoted multiple times over the decades may not matter anymore. Right? Your expertise, your ability to to recall knowledge from, you you know, a very successful career may not matter in the same way anymore, or it may not matter as much because of our use of large language models. Alright. So one other thing here, that I I need to start bringing up on this show more. There's a very, famous McKinsey digital report, talking about the impact of generative AI, And I just wanna talk about one specific thing in the report. Alright. And I'm gonna read this out loud and we'll link to it in our newsletter.

Jordan Wilson [00:09:09]:
So if you're not already signed up for our newsletter, make sure to go to your everydayai.com. So this part says current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70% of employees' time today. And then they're talking about, in contrast, we previously estimated that technology has the potential to automate half of the time. Alright. So previously, McKinsey had a study that said 50%. Now they say 60 to 70, percent of our time can be automated through generative AI. And I'm telling you right now, this study is very wrong. Right? Obviously, it's from June, so I'm not, you know, harping too too hard here on on on McKinsey.

Jordan Wilson [00:09:49]:
But I would venture to say easily 90%. Not exaggerating y'all. I I've been very lucky enough to talk to some of the smartest minds in AI across the globe from the biggest companies in the world, you know, NVIDIA, Microsoft, IBM, AWS. Right? I'm lucky enough to get to talk to these people. I can see where we are heading. Very easy to say that 90% of the manual task, this manual knowledge work that we do in front of a computer, is gonna be automated via generative AI. So you need to learn how to implement and and change the way that you

Jordan Wilson [00:10:23]:
work. Enough wind up. Let's talk about the 5 simple ways. Alright.

Jordan Wilson [00:10:29]:
You guys ready? Hey. For our livestream audience, let me know. Let me know. You know you know, Tara said this is the new norming. I like that. Let me know. You guys ready? I'm ready for this one. Andy, like, you all have asked previously, like, hey.

Jordan Wilson [00:10:44]:
Let let me know behind the scenes of of how you do this every day. Right? People ask, how do you do a daily podcast newsletter, livestream? You you know, can we how do you do this every single day? Well, here's some of the behind the scenes. Some of the ways and this is just the simplest ways that we use generative AI here at everyday AI. Alright. And I'm gonna try to do, a lot of these things here live. Alright. So please please bear with me a little bit because I'm gonna be sharing my screen. Sometimes this goes well, sometimes it doesn't.

Jordan Wilson [00:11:15]:
So, let's see. So, number 1. Alright. Reading through AI news headlines, this is the way we use it, with chat g p t. Alright. So let's go ahead. I'm gonna give you all, hopefully this this works here. So I'm gonna give you all a a live look at what I do every morning.

Jordan Wilson [00:11:37]:
Alright? So I woke up. I I I might hit snooze on my alarm once or twice. I woke up at about 5:10, 5:10 this morning. That's why I said I've already been using generative AI for half the day. So let's go ahead and take a look, and this is how I you know, one of the ways that I use, chat g p t, I use chat g p t literally every single day. It is by far, the the the best and most powerful generative AI tool, I would say. Alright. So here's what we're doing.

Jordan Wilson [00:12:03]:
We are I have a chat gpt plus account, right, $20 a month, which allows you to access GPT for turbo as well as GPTs. Alright. So I I haven't trained this chat. Alright. So if you've taken our free prime prompt polish course, you might be like, Jordan, why? Why am well, I wanna show you this from scratch. So we're not gonna go through the whole process. I'm showing you a very very simple prompt. But the first thing I'm gonna do is I'm going to mention a g p t.

Jordan Wilson [00:12:32]:
Okay. So what that means is now I'm, talking to web reader a g p t. The reason being, and this is so important when you're using a large language model, and I'm gonna spend a little more time on number 1 because I think it's important. Alright. Yes. ChatGPT is technically connected to the Internet. Okay. And why do you need to connect a large language model the Internet to the Internet? And this is why I rarely use Anthropics, Claude, or even Gemini because Gemini from Google actually has Internet problems.

Jordan Wilson [00:13:02]:
Okay. You need to be able to get the most up to date and accurate information when you're using a large language model. So ChatGPT, as an example, has a knowledge cutoff of April 2023. So what that means is all of the information, your best case scenario when using a large language model, is you're gonna get information that is more than 1 year old. That's bad. It's dangerous. That's how you get hallucinations. That's how you get inaccurate, information.

Jordan Wilson [00:13:29]:
So I would say 90% of the time when I'm using chat gpt, I am connecting to a third party. We used to use plug ins, but those have been depreciated, so I'm I'm using a third party application to connect directly to, a specific URL. Alright. So I'm gonna go ahead. I'm gonna click this prompt. We're gonna let it go live. Alright. Hopefully let me know let me know livestream audience.

Jordan Wilson [00:13:55]:
Let me know if can read this. I'm gonna try to zoom in a little bit. Hopefully, this works fine. Alright. So I'm gonna go ahead and show you, kind of exactly what I'm doing here. I'm not gonna read this this whole thing because it's kinda long, but I'm I'm zoomed in a little bit. So I'm essentially saying, please summarize this web page in a video voice. Alright.

Jordan Wilson [00:14:14]:
Let me show you the web page and why I'm specifically using this. Okay. I have to read so much AI news every single day to keep up in conversations, to to know what matters for you all. Right? So so this is the URL that I shared. All this is is it is a Google News search for AI. Okay. And you'll see here if I scroll through, there's probably about 50 probably about 50 news articles. Right? So what I'm doing in this prompt is this is the URL I share at the very bottom.

Jordan Wilson [00:14:49]:
So, essentially, I'm asking the g p t web reader to visit this exact URL that contains, and it's it this link updates itself every day according to the most timely and relevant AI news. Okay? So then, you know, know, I'm not gonna I'm not gonna read this whole thing, but I'm essentially telling it who our audience is. Right? Business leaders in the US who are trying to learn and leverage generative AI, and I'm telling them what our audience cares about. Okay? I give an example of exactly how it should be summarizing all of these different, you know, 50, and I'm just asking it for 12 different recaps. Okay. So normally most days, I'll do this with a Google AI news search link. I'll do it with a Bing AI news search link. So so I get a nice variety.

Jordan Wilson [00:15:39]:
And I will read, you know, at least 30 of these quick little news summaries

Jordan Wilson [00:15:45]:
every single day. Alright? Because

Jordan Wilson [00:15:49]:
for a couple of reasons. I host a live stream, y'all. Every single day for, almost a year now. It's not easy. Right? And when people have questions, I like to have answers. I I like to keep up. I like to stay ahead. Alright.

Jordan Wilson [00:16:05]:
So, now if we're we're looking at our, results here, and if you are listening on the podcast, this is one of those you might wanna check the show notes and come back and watch the live stream so you can see it. But I'm gonna do my best to describe it. Okay. So now it's, the results here. Let's see if it actually does 12. Probably not. Sometimes it caps out. Alright.

Jordan Wilson [00:16:25]:
It actually gave me, 12, recaps. Each recap is about about 4 to 5 sentences long. So it didn't get it exactly right. That's okay. This is actually a somewhat complex prompt. So now what I can do to start my day, I do this, I get my coffee, I'm waking up. Right? And I'm reading it. So this is why I do it this way and why you should too.

Jordan Wilson [00:16:51]:
I'm giving it information. Right? And so it is doing so much of the work that I would have to be doing manually. Okay. Because it is putting all of this into perspective for our audience or for me as well as I gave it instructions on exactly how to write this. Right? I said, you know, act like you're a a TMZ reporter. You know, write it in a witty and engaging way that gives context to our readers who are US business leaders. Right? And it's talking about specifically how it can grow their companies and grow their careers. So it for each and every one of these 12 recaps, it's already done a lot of thinking for me.

Jordan Wilson [00:17:29]:
It's already pulled out the the important information and spit back what I actually care about. Alright. So that is, number 1. Alright. So let's now let's jump back in. I have a screenshot here just in case it didn't work, but luckily it worked. Alright. So now let's talk about how you should do this too.

Jordan Wilson [00:17:53]:
And, Jay, Jay, thanks for joining us live. I don't know if chat gbt watches TMZ. Right? Maybe. But obviously, you know, TMZ is a very popular show. It's it's in, you know, the 1.8 trillion parameter, large language model that is GPT for turbo. So so that should be that should be, you know, reflected in in the response. So here's how you should do this. Obviously, you don't need to do this for AI news.

Jordan Wilson [00:18:21]:
But what you should do is you should steal this method, to learn daily about your career or company path. Alright. So as an example as an example, let's say that you are in real estate. I'm pretty sure, you know, Tara here who who joins the show almost every day. I'm pretty sure Tara's in real estate. Right? So so as an example, maybe you spend 15, 20, 30 minutes a day. Actually, I'd I'd love to hear how many minutes a day or how many hours a week do you all spend to to keep up with industry news, to to keep up with industry insights, to stay abreast to what's going on. Like I said, I probably spend way more time than the average person, but let's say you're in real estate, and you and you always wanna know what's going on, what's the latest.

Jordan Wilson [00:19:10]:
Alright? So what you should do is is, you know, whatever that query is in Google, real estate news or maybe you're in Fintech or, you know, whatever it is. You you you tweak that Google result, that, you know, Google news search or whatever it is. Maybe you wanna do it once a week so you can change the, you can change the time frame to the last 7 days and that'll change the URL. And then you put that in and you put it into chat gbt and you do just like I did. You give it context. Here's who I am. Here's what I care about when I read the news. Right? Here's an example, you it should be written in this format, right, and right away, right away you are instantly saving so much time.

Jordan Wilson [00:19:53]:
Not only you're saving so much time, less brainpower, Right? You don't have to read all these stories and think, how are these tied to to my company, my career, my profession? You tell Chatt GPT that upfront. You give it an example of how a a news story, that appears in these results should be written or should be reframed for you.

Jordan Wilson [00:20:16]:
Y'all, when we think about changing how knowledge workers work, this is top of

Jordan Wilson [00:20:22]:
the line. Yes. It's low hanging fruit. Yes. This isn't, you know, we're not tapping into automation and APIs and, you know, JSON and, like, doing all these advanced things. This is simple. But the thing with generative AI is winning back your time and also being more effective with your current time. Alright.

Jordan Wilson [00:20:42]:
That's an important thing. Let's go on to number 2. Alright. Summarizing web pages into scripts. Alright. So this is exactly what I do every single day. Alright. So full disclosure, I always read.

Jordan Wilson [00:20:59]:
I always read every single article that I end up talking about on our news. Right? Because I want to make sure that I truly understand it. You know, in most of these articles and I'll tell you this. Right? So I'm I'm sharing this now on my screen. Give me a second here. There we go. So, you know, here is the article I read this morning from Reuters about Google plans to charge for AI powered search engine. Okay.

Jordan Wilson [00:21:23]:
So I read this. But if you see my screen, this is pretty terrible. Right? Because of AI search, things like Google's, s g e search generative experience, things like perplexity. Now chat gbt from OpenAI is creating more sources, so they face less lawsuits. Right? But pages, web pages are getting harder and harder to read. Look at all of these ads. My gosh. So, like, so many ads.

Jordan Wilson [00:21:51]:
I, like, I it it's so hard to read these pages. Anyways, so I go through and read the pages, alright, to make sure I understand, and it's hard sometimes. So then I use a Chrome extension here called Voila. So I'm not sure, and please let me know live stream audience. Hopefully you can see this. I never know if you can see, Chrome extensions when I'm sharing my screen. Hopefully I can. So this is a Chrome extension called Voila.

Jordan Wilson [00:22:15]:
Okay? So, what this does is it's powered by g p t. There's a lot of other features. I'm I probably covered this once or twice before. Alright. Also, you can choose your model. You can choose to have it also connect to the Internet. Okay. The thing that I like about this is, you can have prebuilt prompts.

Jordan Wilson [00:22:36]:
Okay. So similarly to what I did, inside of chat gpt, you can save a prompt and have it, reflect your current page. Alright. So here's what I'm doing. So I just clicked one of my presaved prompts. Alright. So now, sometimes I will write these bullet points myself. Right.

Jordan Wilson [00:23:01]:
Sometimes, if I'm being honest, if I'm running out of time, like I was this morning because I put a ton of work into today's show, I might copy and paste this, and and as I'm reading the news, I might reference this. Sometimes I write it myself just with quick bullet points. Sometimes I'll do half and half. Sometimes I'll use this, you know, 80%. Alright. But now what what just happened, and and hopefully you can see it on my screen here. It's kind of broken this down, this long article that I read, but, man, by the time I read this with how many ads there are, there's pop ups, I'm x ing out of them. It's hard to pull this information.

Jordan Wilson [00:23:40]:
Right? So there we go. That is that is number 2. Thanks thanks for letting me know, Jay, that, yes, you can see it. Monica, I agree. This is incredibly helpful. Alright. So that is our number 2. Alright.

Jordan Wilson [00:23:59]:
Let's jump back. Oh, well, here's here's how you should use it. Alright. So you should save time and eye strain by training a web page summarizer based on your context and needs. Okay? You can use the, you know, app. There's plenty. If if if I'm being honest, there's probably at least 50 Chrome extensions that do this exact same thing. I use Voila.

Jordan Wilson [00:24:25]:
I like it. I've tried a lot of different ones. For my, for my purposes, this works. What I really like is I can share these with my team. I can, you you know, tweak them. I can create 50 different ones. I can have a library of prompts depending on what I'm working on. But you should be doing this too.

Jordan Wilson [00:24:42]:
Alright? So think. And let me also put this out there. Almost everything, almost all of these five things today, I could do in chat gpt. Right? But I'm I'm wanting to show you different techniques, because you're probably thinking, wait, why don't you just do this in chat gpt with the web reader? Well, I could. But so much of the time, it's all about speed, at least for me. I, like, I work with speed and efficiency. Right? So for me, sometimes if I'm on a page, it is just faster for me because I can get that in 2 clicks without ever leaving. Okay.

Jordan Wilson [00:25:17]:
If and normally I do have a chat g p t up on my screen, but if I'm on a laptop specifically, right, I probably don't have that chat gpt just up on my screen waiting. So in this case, it's much faster for me. Alright. So you should be doing it too. Find the best Chrome extension. Go through. Write prompts, try them out, again, with your context, with your background. Saves you so

Jordan Wilson [00:25:44]:
much time processing things in your own head. Alright? Let's get going. Number 3, chatting with my own conversations. Alright. This one might seem a little meta. It's it's I don't know

Jordan Wilson [00:26:03]:
if it's weird or cool. I'm pretty sure it's it's awesome. Alright. So, again, we're showing you behind the scenes at everyday AI. This is just, you know, this is how I use generative AI from, you know, 5 or 6 AM until 9 AM when I'm working on, everyday AI. Right? So, alright. So now let's go ahead and take a look. So this is Cast Magic, and we actually had the CEO of Cast Magic on the show before.

Jordan Wilson [00:26:31]:
Hey, Juan. Thanks. Juan said this is gold. You know what, Juan? This this show is is partially because of you. Right? I hear from people, you know, Juan and others say, hey. I wanna see real life use cases. So, thanks thanks for the feedback, y'all. Alright.

Jordan Wilson [00:26:44]:
So now we're in Cast Magic, and we're gonna talk about how I talk to myself. Weird. Right? So, anyways, I'm gonna go ahead and click this. So, normally, literally within minutes by the time that I'm done, so, like, yesterday as an example, this is our show from yesterday. So AI tools to supercharge research. So we had Avi, Avi Steeman on the show. Alright. So, hey, shout out shout out Brandon, you you know, my my colleague here at Everyday AI.

Jordan Wilson [00:27:15]:
So normally, after I'm done with an interview, right, I'll I'll I'll stay and chat with the guest after we quote unquote hang up for, you know, 5 to 15 minutes. So much of the time, by the time that 5 to 15 minutes is done, I can go in Cast Magic and Brandon's already crushing it, and all of this is already in there. There's a lot of great features, and I'm gonna talk about 1 or 2. But I'm gonna show you exactly how I use this because here's search. And with a I just clicked on me. You heard me talk twice. Here's the reality. And let me even tell you this, how my day went yesterday.

Jordan Wilson [00:27:48]:
Alright. So I hung up with Avi. Alright. I actually had a livestream. I went on someone else's, livestream. So shout out Denise for having me on your show. Then I had a 30 minute meeting, with someone. There was 1 or 2 things that I did, after that as well.

Jordan Wilson [00:28:07]:
So by the time that I was ready to read the newsletter, if I'm being honest, I had already done so many different things that I forgot so many of the details of my conversation which I feel bad about. But, hey, maybe you can relate. Right? If if you have so many different tasks on your plate, something you did an hour ago, 2 hours ago, you're like, man, what happened there? Alright. So here's here's what I did yesterday. This is literally an example. Yeah. You can already see, how I've been using it if if you're tuning in here live. Alright.

Jordan Wilson [00:28:38]:
So let's go ahead and do this live. Hopefully, it works. Alright. So I'm gonna zoom in a little bit on this. I'm gonna click generate, and as it's going live, I'm gonna tell you exactly what I'm doing here. Alright. So I have a prompt that I just put in that said based on the transcript of this podcast episode, please continue writing and use exact details from the conversation of what Avi said to complete this paragraph. So, essentially, what I'm doing is this program, Cast Magic, we upload the audio file of our podcast.

Jordan Wilson [00:29:13]:
It transcribes it all. We have about 50 saved prompts that we test and we change and we update weekly. And so when we update the pot our, when we update and push our put our audio in here within literally 3 to 5 minutes, not only do we have a transcription, but it runs that transcription through those 50, presaved prompts that we've already done. And then I can also go and chat with my transcript like I'm doing here. Because in this example, what happened is I started to write my newsletter. Yes. The newsletter is written by me, former journalist, real human. That bottom section where we talk about leveraging, Go go read it today.

Jordan Wilson [00:29:53]:
It's written by me not AI. But I forget so many things. So many specific details of the conversation. Because when I'm interviewing someone, sometimes I'm also taking my own notes. Sometimes I'm putting up comments, you know, on the screen, you know, like like this, you know, like this. And then I forget things. Right? So now I'm going back and I'm talking to my con to to my chat. Right? So I essentially started writing.

Jordan Wilson [00:30:19]:
Okay. So here's what I wrote yesterday in the newsletter. I said one question we all might have is this. Why do we need even need to use AI in research? Well, apparently, it's pretty costly to have established university minds create the research our world relies on. Avi mentioned that the average cost of producing a single research paper can be more than $500,000. Yikes. Here's the thing y'all. I forgot the exact details of what Avi said after that because it was 2 or 3 hours later.

Jordan Wilson [00:30:49]:
I had already been doing multiple other things and I'm, like, oh, crap. So what I would have to do before generative AI is I would have to go and listen to this entire interview and take notes and find that spot. It would take forever. Now it takes seconds. Alright. So I ask this chat so I say continue writing in the same silent tone of voice and respond in bullet points with every exact detail that Abhi said related to this. So now, cast magic's magic chat responded to me and said, hey. Here's what Avi said, Jordan.

Jordan Wilson [00:31:24]:
Way to not pay attention. I'm an AI. I don't sleep. Here's here's what you miss. And he said, oh, Avi explained that these high costs, we must get our money's worth by allowing these university minds to focus, you you know, whatever. Like, you all can read this. But it's it's going in and it's giving the exact details of what Avi said for that point that I'm writing about that I'm like, oh, man. This is a great 34 minute conversation we had.

Jordan Wilson [00:31:48]:
I forgot the exact details. Cast Magic helped me remember.

Jordan Wilson [00:31:52]:
Alright? So let's get back into it. Hey. I'm I'm curious. Could any of you use that? Because I'm gonna tell you how you should use it. Alright. Hey. We got a shout out

Jordan Wilson [00:32:04]:
to the St. Louis Post Dispatch, my old one of my old newspapers that I

Jordan Wilson [00:32:08]:
wrote out, that I wrote out. What's up, Bob? Alright. So here's

Jordan Wilson [00:32:13]:
what you should do in Cast Magic or a program like it. You can also, again, do this in chat g p t. You can train a custom g p t to do this. Take your transcript of your meeting, of your your your live stream, your webinar, whatever it is. You know? In cast magic, you can build all these prompts. So here's what I would do, and we've talked about this on the show before. We spend so much of our time on meetings. For the most part, people record meetings or you use a meeting assistant.

Jordan Wilson [00:32:37]:
We use MeetGeek. We're also trying out, Zoom's, you know, new AI companion, which, you know, we had Zoom's chief product officer on the show last week. That was a pretty cool interview. So we use multiple AI tools whenever we have meetings. But you can take the transcript of that meeting. You can build, you know, custom prompts within Cast Magic. You can say, hey. Give me, you know, a recap.

Jordan Wilson [00:33:02]:
Give me, you know, a a follow ups for each and every person on this call. Right? Because in transcripts, you generally have to label the people. And then it says, oh, here's what what you said. Here's what Brandon said. Here's what Sarah said. And then you you can build a prompt and say, hey. Give me the follow-up for each and every person. Write me an an email response for Brandon with his follow ups.

Jordan Wilson [00:33:24]:
Write me an email response for Sarah with her follow ups. You know, tell me what I need to update in my project manager. You know, give me details of of what I should do with my CRM. Right? What whatever it is that you normally do before or after a meeting, whatever it is, you can use a tool like Cast Magic, upload your transcript, and it can all be done for you. Right? Obviously, the tools that we use day to day are getting better. As an example, Zoom's AI companion is getting better at this. But at least right now, you can't have those kind of prepackaged prompts. Microsoft Teams, great at this.

Jordan Wilson [00:33:57]:
Right? And if you're using Microsoft 365 Copilot, that really helps. You have to have the enterprise version for it to work with teams. You can't do that on the $20 a month pro version, but if you have the enterprise version of Microsoft 365 teams, a lot of this work can be done for you. But if you aren't doing this already, why? Alright. So this is what I want you to start doing, whether it's your own meetings or you can do something else. Maybe, you you know, there's a YouTube video that you like to, you you know, watch once a week, and it's long, but you like to learn from it. Right? Do this. Build a custom prompt in Cast Magic or in chat gpt that is specific to that and is specific to you and how you learn.

Jordan Wilson [00:34:36]:
Spend a little of time up front, and you're gonna save yourself so much time. I do this sometimes when I watch long YouTube videos. Right? I will do something like this before. I will read it, and then I will watch the video usually at 2 x. But a lot of times when I've already done, kind of an AI powered summary first, I will do a much better job at retaining that information as I go along because I already have a good idea. And then I can really enjoy whatever I'm I'm watching or listening to and not having to type so many notes. Alright? So that is number 3. Alright.

Jordan Wilson [00:35:17]:
Yo. I gotta I gotta take a sip here. Yeah. What Monica said, this would be amazing for long webinars, meetings, town halls. Absolutely. Absolutely. Harvey Castro says thanks for this episode. Hey.

Jordan Wilson [00:35:29]:
Is anyone else finding this valuable? If you're listening on the podcast, let me know. But if you're listening on the podcast also, make sure to check out today's show notes. We're gonna link to the live stream. There were so many good things I wanted to include. Right. But, unfortunately, I made the title of, like, 5 things, but there is a lot more. So if you repost this on LinkedIn. Alright.

Jordan Wilson [00:35:53]:
So, hey, if you're watching now, if you're listening, if you're finding value, like I said, I say this almost every day. Some episodes take 5, 10, 15 hours of prep work. And we do this every day. That's a lot of time. If you're finding this valuable, please take 5, 10, 15 seconds to click that repost. Share this with your network. You're helping them. I'm not selling anything.

Jordan Wilson [00:36:16]:
Help your network click repost. If you repost this, send me a DM. I'm gonna send you a short video with 3 bonus ways to use generative AI every single day. Simple ways. So if these are helpful and I got 2 more, click that repost, please. If you're listening on the podcast, click that, that that link to our livestream and repost this. Let me know you did and I will send you a video with 3 bonus tips. Hey.

Jordan Wilson [00:36:45]:
Jay already said he's he's reposting. Thanks. Cecilia said this is fabulous. Alright. Let's keep it going then. Alright. Number 4. Y'all, I have a confession to make.

Jordan Wilson [00:37:00]:
I use Microsoft Edge, and I like it.

Jordan Wilson [00:37:05]:
You know? That might not mean anything to you, but I have been helplessly addicted to Chrome for more than a decade. I like Microsoft Edge. Here's a couple things to know. It's based on Chromium. So what that means is if you use Microsoft Edge, the new, new ish browser from Microsoft. It is based on Chrome. So all your Well, I'd say like 95% of my Chrome extensions and I am not exaggerating when I say this. I currently have 100 of, Chrome extensions installed.

Jordan Wilson [00:37:40]:
About 95% of them work on on on Edge because it's based on Chromium. So your your bookmarks, your your passwords, your Chrome extensions will all work. So I like Edge. Alright. So one great thing about Edge is it has Copilot built in, and it's free. Alright. So I like to use Edge PDF summaries for fast facts. Alright.

Jordan Wilson [00:38:06]:
So let me go ahead, I'm gonna have to share a different screen here. So y'all give me one second because I gotta I gotta find my, my Edge browser here. Let's see. Where's where's my Edge browser?

Jordan Wilson [00:38:19]:
There we go. Bam. Alright. Let's see if this works. So now,

Jordan Wilson [00:38:24]:
I have my Edge browser up. So I'm in Microsoft Edge. And a lot of people don't know this. So in the upper right hand corner, and I really encourage you to give Edge a try, you'll see here at the top, here's all my or some of my Chrome extensions that I have enabled. Right? I actually have so many Chrome extensions that I have a Chrome extension that allows me guys, I wasn't exaggerating. There's hundreds of Chrome extensions here. So many that I have a Chrome extension that helps me manage Chrome extensions. Anyways, in the upper right hand corner, you have this little copilot ribbon.

Jordan Wilson [00:38:55]:
Okay? So now what I'm gonna do, I have this pdf open. So I use this pdf for my show on Tuesday. My hot take Tuesday that was, hey, if you are banning generative AI, your company's gonna fail. I think it was a good show. You guys think it was good? Let me know. If you haven't listened to it, go listen to it. So anyways, I am on Microsoft Edge here. I clicked the Copilot banner.

Jordan Wilson [00:39:19]:
Alright. So now I'm gonna click generate document summary. Okay. So what it's doing now is it is reading this PDF document. So I have this Cisco study, this 2024 data privacy benchmark, and it is a long pdf y'all. I have not read this whole thing. Let's see. I can't even tell how many pages.

Jordan Wilson [00:39:37]:
26 pages. Alright. So it's giving me a recap, and it's actually a pretty nice recap here. Alright. But I have a little prompt that I'm gonna go ahead and put in here. Let's see if we can get this work to work exactly. Because I actually did this when I was preparing for my show on Tuesday. Alright.

Jordan Wilson [00:39:56]:
So now I can chat with this PDF. Yes. Again, this is something you can do in chat gpt, but for me, sometimes, especially if I'm on a laptop and I don't have my 60 inches worth of monitors in front of me, a lot of times this is faster. In the age of generative AI, you have to rethink how you work. Sometimes it's about speed and efficiency. Alright. So I have a prompt here. I'm gonna go ahead and run it and hopefully I'm gonna zoom in.

Jordan Wilson [00:40:20]:
Oh, that just zooms in on that part. Hopefully y'all can see this. So anyways, I have a simple prompt over here, and here's what I said. I said using only this PDF as a source because often even when you are using you are chatting with a web page, Copilot, which is, you you know, g p t four turbo. So Microsoft Copilot, is essentially GPT 4 Turbo with some training on top of it. But a lot of times, it'll go look for outside sources even if you are using the page as the source. So what I have to say is using only this PDF as a source and without referencing any other sources, please find the most specific stats as it pertains to generative AI use in this document. Right? Because this document talks about a lot of things.

Jordan Wilson [00:41:04]:
And then I say, please only reply in bullet points with exact statistics and result from the study. Every response would have a number or percentage. So I'm I'm saying don't waste words. Please do not waste words and keep responses factually based on the contents of this pdf only, and specifically cite a stacked or number in each bullet point response. Alright. So, you're you're you're gonna get different results every time because I just I literally just ran this again, today, and it looks like it's it's size it's it's citing some other sources within Cisco. However, all of these stats that it replied to me, they're all in this document. And if I want to see them, I can, you know, search in here and read more or, it's also, citing.

Jordan Wilson [00:41:51]:
So Copilot is citing this. So I can click this. So 69% of organizations expressed concern about that the use of generative AI could hurt their legal and IP rights. So I can click that. And what it actually does okay. So I was wrong here. It's actually only pulling things from this document. It has these footnotes.

Jordan Wilson [00:42:12]:
So I thought it was linking to external, links on the Cisco website, but it's actually just going to it's a footnote. It's a jump link, which is actually really nice. So I can click any of these cited things and it's taking me to that exact part in this very long PDF. Right? So I'm clicking this stat. It takes me there. I'm clicking the 69% of organizations express concern. It's taking me there. Did you guys know you could do this in Edge? Good old Edge.

Jordan Wilson [00:42:41]:
You know? Floating there in the background. People don't know. Edge. Huge time saver. Huge time saver. Alright? Alright. Let's go back. Here we go.

Jordan Wilson [00:42:53]:
So here's how you should use this. Use it exactly what I just did. Learn more in less time by consuming more PDF summaries reliably. Alright. Here's the thing. Even within chat g p t, depending on what g p t you are using or even if you are uploading a document into the default mode of chat gpt's gpt 4, alright, because chat gpt can do this by default. However, you have to worry about context length memory. Alright? So it's actually eating up a lot of chat gpt's memory.

Jordan Wilson [00:43:26]:
So if you are using as an example our prime prop polish method and you are uploading a very long PDF document, you're gonna be eating into that memory and it's gonna start to forget things. That's one of the reasons why I like to use Edge. It's quick. It's easy. It's literally 2 clicks, and you're going. And you don't have to worry, about, oh, if I have this as part of a longer conversation, is it gonna start to forget things that I've spent time training it on? No. It won't. Alright.

Jordan Wilson [00:43:55]:
Last. Hey, Juan says it's a gem. Thanks, Juan. Juan's asking how rare do you keep your prompts that you most commonly use? Good question, Juan. I don't use prompts. Weird. Right? Some days I spend 8 to 10 hours, in large language models depending on the day. I don't use prepackaged prompts, for the most part.

Jordan Wilson [00:44:17]:
Right? Like, as an example, the one that I showed you all to begin with, the the AI news summary, for that one, I just use the exact same prompt. So that chat that I have within chat g p t, my version I use, I show showed you guys how to do it from scratch. My version that I use and that our team uses has been trained. Right? But we only use that chat for that ex exact purpose, and we you we reuse that prompt, you know, once or twice a day. So for that one, technically, I am reusing that prompt. But if you use chat g p t correctly, which is you train 1 in each, new chat for only one specific skill set. For that one, after I've trained it, that's the hard work. All I have to do then is just copy and paste that prompt.

Jordan Wilson [00:45:02]:
That's right there. So it doesn't get lost. So if you use if you organize, your chat gbt or other accounts, in the right way, if you train it, you know, if you go through prime prompt polish, you know, shout out if you took our our updated class. We have another one coming today. Our refined cute method of priming. All you gotta do is just copy and paste that that prompt if it's something that you've reused daily. But for the most part, if you use chat gpt or other large language models correctly, you're not using the same chat for 50 different things. You're training one chat on one specific skill set, and then by the time you go in there, you don't have to have a prompt library.

Jordan Wilson [00:45:40]:
The other way, Juan, that you asked, you know, when I showed you guys Voila as an example, that one you do save prompts because it works in a little different way, and then you can save 5 by folders or, you know, you can star prompts to be your favorite. And so that way they always show up when you're on a certain website. Alright. Oh, this has been a long one y'all. Last but not least, we'll go quick on this one. So using perplexity for hallucination free research. Alright. Let's do it.

Jordan Wilson [00:46:09]:
We're doing it live, y'all. We're doing it live. Let's jump into, let's jump into perplexity, shall we? Give me a second here.

Jordan Wilson [00:46:22]:
I have

Jordan Wilson [00:46:23]:
to stop my screen sharing. There we go. We're jumping into perplexity y'all. If you don't know perplexity, get to know it. We're gonna have someone hopefully, someone from the, perplexities team at some point soon on the show. We'd love to get them on. But if you don't know, let's go ahead and show you. So, I have a simple prompt here.

Jordan Wilson [00:46:44]:
This is literally a prompt that I used yesterday, for our newsletter. Okay. So we had Avi on. We were talking about AI powered research. This is so mad at y'all. I am talking about AI powered research after the fact referencing AI powered research by using an AI powered research tool. My brain hurts. Alright.

Jordan Wilson [00:47:03]:
So I'm gonna zoom in here. Hopefully, everyone can see this okay on the live stream. Again, if you're on the podcast, make sure to check out your show notes and come back and watch us. So all I'm doing so in our newsletter, we always share, a resource. So at the bottom written by me, this saves me a lot of time researching. Okay. So we have a, you know, usually 3 takeaways from our show and then it says try this. And usually it's another resource.

Jordan Wilson [00:47:28]:
Maybe it's a tool. Maybe it's a a study. Maybe it's a recent news article, etcetera. So I find a lot of them this way. So I said in perplexity, I said, how much do academic research papers cost taxpayers? So as a reminder, I had that section because Avi said, hey. $500,000. But because of time, I didn't have time to to go back to Avi and be like, hey, Avi. You know, give me some examples of of, you you know, more on that.

Jordan Wilson [00:47:54]:
Right? So instead, I'm going to perplexity. Alright. So here's what perplexity is and what it does. So my little prompt I ran, very simple. I said, how much do academic research papers cost taxpayers? Please give me a variety of exact estimates, specifically mentioning the year each estimate was created. Okay. So now here's what perplexity does. It goes through extremely quickly, and it's essentially reading.

Jordan Wilson [00:48:20]:
So it says 20 sources. For the most part, this is the default if you're using perplexity. Perplexity is free to use, and you get 5 of these kind of more powerful Copilot searches, I believe, every 3 hours. Okay. Or if you pay $20 a month, you get, like, unlimited. Okay. So now what I'm what I'm doing here is here's the 20 different sources. Think of how much time this saved me.

Jordan Wilson [00:48:44]:
Right? So perplexity literally went in, read these 20 sources, and it's giving me short little summaries, footnotes from all of these sources. Right. So in this case, I don't have to have a lot of back and forth. I was just asking for a resource. Right? So I can go down here, and again, generative AI is generative. You know, I'm noticing that it's not giving me the exact same responses yesterday, which is to be, assumed. Right? But yesterday, when I ran this exact same prompt, it gave me a research study that showed, specifically the, the impact. So I could go in here, look at these articles.

Jordan Wilson [00:49:24]:
You know, I can click it. I can go in and say, hey. Is this one right here a good resource for our audience to read? Right? So, again, we normally break each and every podcast down to 3 kind of important topics, and we give you additional reading if you're interested. So, that's a way that we find a lot of those articles very quickly because, otherwise, I would have to do maybe 3, 4, 5, 10 Google searches and to find something extremely relevant. This is much faster. Alright. So that is, perplexity. If you haven't used it, I recommend you use it like yesterday.

Jordan Wilson [00:50:00]:
Alright. So here's how you should use it. Hey. This is number 5. Don't worry. I always like to put one error in so you know that this is made by a human. Alright. So swap out your normal.

Jordan Wilson [00:50:12]:
Go do this. Swap out your normal research queries from Google or Copilot as an example and use perplexity. Alright. If you're not using perplexity multiple times a day, you are wasting so much time. Again, rethink how you work. How many times a day do you go and Google something? If you're a knowledge worker, if you're sitting in front of a computer, drawing on your expertise, creating pitches, creating presentations, responding to emails, doing research after a meeting, right, why are you not using perplexity? Why? It doesn't make sense to me. I use Google hardly ever. Until their new search generative experience is is a little better, until it's rolled out across all workspace accounts, which it's not.

Jordan Wilson [00:51:01]:
So Google's s g e works on my, you know, personal Gmail. Right? But it doesn't work on our company's workspace, Google workspace accounts. Right? So that's a bummer. So anyways, I use perplexity all the time. I barely use Google search anymore. Right? That's one of the reasons why in our AI news that Google's like, oh, we have to start figuring out ways to monetize more because they know that they're losing traffic to perplexity. They know they're losing traffic to to open AI and chat gbt. You know, OpenAI and chat gbt just did 2 big SEO plays, earlier this week, which which we covered in our newsletter.

Jordan Wilson [00:51:41]:
So that's what you should be doing. Use perplexity more. Oh, man. This was a long one y'all. I hope this was helpful. If so, please just repost, this episode. I'll send you a video. If these 5 tips were helpful, imagine if you even just put 2 or 3 of these tips into practice for yourself every single day.

Jordan Wilson [00:52:03]:
Remember that study from McKinsey Digital that said 60 to 70% of our time will be automated with generative AI? Do you wanna win 60 to 70% of your time? That is an understatement, y'all. It is easily 80 to 90%. If you are a knowledge worker, if you do things correctly, again, I showed you low hanging fruit today, very simple. 80 to 90 percent very easily. If you are a knowledge worker, constantly reading, constantly writing, generative AI will easily save you 80% of your time if you put it into practice. Relearn the way you work, Repost this episode. I'll send you a video with 3 bonus tips. Hopefully by, I don't know, next week.

Jordan Wilson [00:52:48]:
Right? I'll give everyone a little bit of time, especially if you're on the podcast. I'll send this to you, you know, by by next week. Just repost this if it's helpful. It helps us grow. Alright. Speaking of listening, make sure to tune in tomorrow when we talk about accelerating your generative AI journey with AWS, with Shruti Kaparker who is a product marketing AI lead at Amazon Web Services. So thank you for tuning in. If you haven't already, go to your everydayai.com.

Jordan Wilson [00:53:18]:
Sign up for that free daily newsletter. Alright? Today's, you you know, section, leverage section is obviously gonna be 5 points, not 3, but we're gonna break down today's episode. There's gonna be way more AI news in the newsletter. We always have a section called fresh finds. If if you need to keep up, if you need to survive and thrive in the new age of generative AI, you do that with our newsletter. It is free. It is written by a human. That's me.

Jordan Wilson [00:53:45]:
Speaking of that, I'm gonna go write this. Thanks for tuning in. We hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.

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